Enterprise demand full life cycle management system and method

Abstract

The invention relates to the technical field of computer software, and discloses an enterprise demand full-life-cycle management system and method, and the system comprises a demand overall planning subsystem, a framework asset management subsystem, a project implementation management and control subsystem, a production verification subsystem and an examination evaluation subsystem. The architecture asset management subsystem calculates a technology invasion index based on an architecture topological graph, and the demand overall planning subsystem routes demands to different levels of management and control processes according to the technology invasion index. And the project implementation management and control subsystem dynamically calculates a maximum parallel implementation project number threshold and executes project approval congestion control according to the agile implementation cooperation capability score fed back by the assessment and evaluation subsystem. The production verification subsystem generates a digital fingerprint based on the demand identifier, the architecture snapshot and the code record, and executes consistency verification before deployment. According to the invention, through risk quantitative distribution, resource adaptive adjustment and production fingerprint binding, closed-loop fine management and risk control of a demand full link are realized.

Description

Technical Field

[0001] This invention relates to the field of computer software technology, specifically to an enterprise requirements lifecycle management system and method. Background Technology

[0002] As enterprises deepen their digital transformation, software system architectures are becoming increasingly complex, and the frequency of business requirement iterations is accelerating. In enterprise-level software R&D management, efficiently and securely managing the entire process from requirement submission to final deployment is crucial for ensuring business continuity and system stability.

[0003] Existing requirements management tools typically determine approval paths based solely on manually entered application levels or business line attributes when controlling processes. This approach lacks automated analysis of the underlying system architecture and the coupling relationships between components, leading to risk assessments relying heavily on the project manager's subjective judgment. Due to the lack of objective, quantitative evidence from a technical perspective, management systems often adopt a one-size-fits-all control model. This not only imposes excessive approval costs on low-risk, minor changes but also fails to identify deep coupling relationships, resulting in insufficient verification and control during the implementation of high-risk changes.

[0004] In terms of resource allocation and scheduling for project implementation, traditional systems often employ static quota management or simple estimations based on the number of personnel. This approach fails to consider fluctuations in the actual delivery performance and collaboration capabilities of the implementation team across different periods. When the implementation team experiences a decline in delivery efficiency or a backlog of tasks due to various reasons, the management system, lacking a dynamic feedback mechanism, will still allow new requests to be initiated according to the original quota. This open-loop resource allocation method easily leads to congestion in the implementation channel, causing overdue tasks to accumulate and further deteriorating the team's delivery quality and response speed.

[0005] Furthermore, in the production deployment phase, existing full lifecycle management processes often suffer from data gaps with automated operation and maintenance pipelines. Pre-deployment verification primarily focuses on the code compilation status or test case pass rates, lacking technical means to strictly bind the project requirement identification from the management side, the configuration snapshot of the runtime environment, and the commit records of the code repository. Due to the lack of this cross-dimensional integrity verification, the system struggles to automatically identify unexpected configuration changes or unauthorized code submissions during implementation, leading to discrepancies between the actual content deployed and the approved scope of requirements, increasing operational risks in the production environment. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention provides an enterprise demand lifecycle management system and method, which solves the problems of resource waste or risk omission caused by the unified management and control model in existing technologies, continuous accumulation of new demands when delivery capabilities decline, and easy unauthorized modifications or configuration drift in the later stages of implementation.

[0007] The first aspect of this invention provides an enterprise demand lifecycle management system. The system operates in a computer network environment including an application server, a database server, and client terminals. The system includes a demand coordination subsystem, an architecture asset management subsystem, a project implementation control subsystem, a production verification subsystem, and an evaluation subsystem.

[0008] The requirement coordination subsystem is configured to maintain requirement entity vectors and utilize state machine logic to manage the entire lifecycle of requirements from input, initiation, implementation to production. The architecture asset management subsystem is configured to build and maintain an architecture topology diagram including physical subsystems, logical subsystems, application projects, and component nodes, and record the static weight attributes of each node and the coupling strength coefficient of directed edges between nodes. The project implementation control subsystem is configured to manage the initiation scheduling of requirements, calculate the maximum number of parallel implementation projects for a department in the current period based on the scoring data read from the performance evaluation subsystem, and perform congestion control on the initiation of new requirements based on the maximum number of parallel implementation projects threshold. The production verification subsystem is configured to generate a production digital fingerprint based on requirement identifiers, architecture configuration snapshots, and code commit records during the requirement production phase, and perform fingerprint consistency verification before deployment. The performance evaluation subsystem is configured to calculate multi-dimensional quantitative scores based on requirement flow records, overdue records, and verification logs. The assessment and evaluation subsystem is configured to feed back the calculated agile implementation collaboration capability score to the project implementation management and control subsystem, and the project implementation management and control subsystem is configured to use the agile implementation collaboration capability score as an input parameter to calculate the maximum number of parallel implementation projects threshold for the next period.

[0009] In some embodiments, the architecture asset management subsystem is configured to traverse the architecture topology graph using a breadth-first search algorithm based on the initial set of influencing nodes involved in the requirements, to obtain a technology invasiveness index. The calculation logic of the technology invasiveness index is as follows: for each initial influencing node in the initial influencing node set, the static weight value of the initial influencing node is calculated as the sum of the static weight value of the initial influencing node and the cumulative influence value of all downstream affected nodes of the initial influencing node; and the sum of all nodes in the initial influencing node set is accumulated. The cumulative influence value is calculated as follows: traversing each downstream affected node reachable from the initial influencing node through directed edges, multiplying the static weight value of each downstream affected node by the cumulative coupling strength on the path, and dividing by the square of the topological distance between the downstream affected node and the initial influencing node to obtain the calculation result; the calculation result is accumulated. The requirements coordination subsystem is configured to compare the technology invasiveness index with preset low-risk and high-risk thresholds, and route the requirements to a fast-track process, a standard technical review process, or a strict control process based on the comparison results.

[0010] In some embodiments, the routing logic executed by the demand coordination subsystem includes: when the technology intrusion index is less than the low-risk threshold, routing to a fast channel that does not contain a technology initial review node; when the technology intrusion index is greater than the high-risk threshold, routing to a strict control process and sending a locking instruction to the architecture asset management subsystem to restrict the write permissions of the code repository corresponding to the initial impact node set.

[0011] In some embodiments, the project implementation management subsystem is configured to calculate the maximum number of parallel implementation projects threshold by adjusting the department's basic concurrency capacity constant. The adjustment logic is as follows: obtain the target department's agile implementation collaboration capability score in the previous period, calculate the difference between the agile implementation collaboration capability score and the system benchmark reference score and divide it by a normalization factor; perform a hyperbolic tangent function operation on the calculation result, multiply the output value of the hyperbolic tangent function by the adjustment sensitivity coefficient and add one to obtain the adjustment coefficient; multiply the basic concurrency capacity constant by the adjustment coefficient and perform a floor operation to obtain the maximum number of parallel implementation projects threshold.

[0012] In some embodiments, the congestion control performed by the project implementation management subsystem includes: real-time statistics of the number of requirements currently in implementation in the target department; if the number of requirements reaches or exceeds the maximum number of projects to be implemented in parallel, a blocking signal is sent to the requirement coordination subsystem to freeze the project initiation operation control and store the new requirements in the pending buffer; the requirements in the pending buffer are released only when the number of requirements drops below the maximum number of projects to be implemented in parallel, or when a new assessment cycle causes the maximum number of projects to be implemented in parallel to increase.

[0013] In some embodiments, the production verification subsystem is configured to generate the production digital fingerprint using a collision-resistant one-way hash function and a bitwise XOR operation. The logic for generating the production digital fingerprint is as follows: obtain a unique requirement identifier; calculate the hash value of the architecture configuration snapshot data recorded during implementation; calculate the hash value of the latest commit record identifier of the code branch; perform a bitwise XOR operation on the unique requirement identifier, the hash value of the architecture configuration snapshot data, and the hash value of the latest commit record identifier of the code branch, and then perform the one-way hash function calculation again on the result of the XOR operation to obtain the expected verification value. When a deployment command is triggered, the production verification subsystem recalculates the fingerprint of the current environment using the same logic and performs a binary comparison with the production digital fingerprint.

[0014] In some embodiments, when the recalculated fingerprint is inconsistent with the production digital fingerprint, the production verification subsystem sends a blocking signal to the production environment deployment interface to terminate the deployment, generates an abnormal audit log that records the discrepancies, and sends the abnormal audit log to the assessment and evaluation subsystem.

[0015] In some embodiments, the assessment subsystem is configured to calculate a weighted total assessment score that includes market responsiveness score, demand coordination score, agile implementation collaboration score, and risk rectification rate score. When calculating the agile implementation collaboration score, the assessment subsystem includes calculating a plan execution sub-item based on the number of overdue records generated by the project implementation control subsystem, and calculating an implementation quality sub-item based on the number of verification failure records generated by the production verification subsystem. Both the number of overdue records and the number of verification failure records are used as deduction parameters, and a value of zero is taken when the result after deduction is less than zero.

[0016] A second aspect of this invention provides a method for managing the entire lifecycle of enterprise requirements, applied to the enterprise requirements lifecycle management system described in the first aspect. The method includes the following steps: S1. The architecture asset management subsystem establishes and maintains an architecture topology diagram that includes node weights and edge coupling strength. S2. The demand coordination subsystem receives business demand input and parses the set of target nodes involved in the business demand. S3. The architecture asset management subsystem calculates the technology intrusion index based on the distribution of the target node set in the architecture topology diagram, and the demand coordination subsystem routes the demand to different levels of control processes according to the technology intrusion index. S4. The project implementation control subsystem obtains the agile implementation collaboration capability score of the department in the previous period, calculates the maximum number of parallel implementation projects threshold in the current period based on the agile implementation collaboration capability score, and performs congestion control on the initiation of new requirements or stores them in the buffer based on the maximum number of parallel implementation projects threshold. S5. During project implementation, the project implementation management subsystem monitors process time consumption and generates overdue records. S6. When a requirement is put into production, the production verification subsystem generates a production digital fingerprint based on the requirement identifier, architecture configuration snapshot, and code commit record. Before deployment, it performs fingerprint consistency verification. When the production digital fingerprint is consistent with the fingerprint of the current environment, it performs deployment operation. When the production digital fingerprint is inconsistent with the fingerprint of the current environment, it performs blocking operation. S7. The assessment and evaluation subsystem calculates the multi-dimensional capability scores of each department based on the flow data, overdue records and fingerprint verification logs, and provides the calculation results to the project implementation control subsystem as input for calculating the maximum number of parallel implementation projects threshold in the next cycle.

[0017] This invention provides a management system and method for the entire lifecycle of enterprise requirements. It has the following beneficial effects: 1. This invention adopts a technology intrusion calculation mechanism based on the architecture topology graph. By quantifying node weights and edge coupling strength, it assesses the potential impact of requirements on the system. The system diverts requirements to different levels of control processes based on the calculated technology intrusion index. Strict control is implemented for changes involving core modules or deep coupling, while edge or low-risk changes are processed through a fast channel. This avoids resource waste or risk omission caused by a unified control model, and ensures that the management intensity matches the actual technical risks.

[0018] 2. This invention establishes a resource adaptive adjustment mechanism based on capability scoring. The project implementation management subsystem dynamically adjusts the maximum number of parallel implementation projects threshold for each department using the agile implementation collaboration capability score fed back by the assessment and evaluation subsystem. By calculating the performance deviation of the previous period and combining it with the hyperbolic tangent function logic to correct the basic capacity, the system can automatically tighten or release the project quota according to the actual delivery status of the department, preventing the continuous accumulation of new requirements when delivery capacity declines, and ensuring that the number of parallel projects is always maintained within the effective processing capacity of the team.

[0019] 3. This invention constructs a production digital fingerprint verification mechanism based on multi-dimensional data. During the production phase, the requirement identifier, architecture configuration snapshot, and code submission record are mixed and calculated to generate a unique verification value. The fingerprint consistency comparison performed before deployment forces the strict binding between the online code version, the runtime environment configuration, and the approved requirement task. It automatically identifies and blocks unauthorized modifications or configuration drifts in the later stages of implementation, ensuring the integrity and traceability of changes in the production environment. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the overall system architecture of the present invention; Figure 2 This is a schematic diagram of the overall process of the method of the present invention.

[0021] The system consists of: 100 Application Server; 200 Database Server; 300 Client Terminal; 10 Demand Coordination Subsystem; 20 Architecture Asset Management Subsystem; 30 Project Implementation Control Subsystem; 40 Production Verification Subsystem; and 50 Performance Evaluation Subsystem. Detailed Implementation

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] See attached document Figure 1 This invention provides an enterprise demand lifecycle management system. The system runs in a computer network environment and achieves closed-loop management of enterprise business needs through the combination of hardware resources and software logic, including overall planning, analysis, implementation and evaluation.

[0024] The system's physical hardware environment includes an application server 100, a database server 200, and multiple client terminals 300. The application server 100, database server 200, and client terminals 300 are connected via a communication network 400. The application server 100 is equipped with a central processing unit (CPU) and memory. The memory stores computer program instructions, which the CPU executes to implement the logic of the various functional modules described later. The database server 200 is configured to store requirement status data, architecture topology data, project implementation records, and performance evaluation data. The client terminals 300 provide an interactive interface for users to input and visualize data.

[0025] At the logical level, the enterprise demand lifecycle management system includes: a demand coordination subsystem 10, an architecture asset management subsystem 20, a project implementation control subsystem 30, a production verification subsystem 40, and an evaluation and assessment subsystem 50. The subsystems interact and transmit commands with each other via a system bus or internal application programming interfaces.

[0026] The Requirements Coordination Subsystem 10 is configured to handle the entire lifecycle state transitions of requirements. This subsystem maintains requirement entity vectors, recording the unique identifier, content description, department, and current status of each requirement. The Requirements Coordination Subsystem 10 includes state machine logic, defining the set of states for requirements from draft, review, project initiation, implementation, production launch to acceptance, and executing state transition operations based on preset trigger conditions. The Requirements Coordination Subsystem 10 is also configured with a data synchronization interface for periodically comparing and updating state fields with external upper-level management systems, ensuring consistency between the local view and the upper-level system.

[0027] The architecture asset management subsystem 20 is configured to build and maintain the enterprise's architecture topology diagram. This subsystem stores directed graph structure data in the database server 200. The node set of this directed graph includes physical subsystems, logical subsystems, application projects, and components. The architecture asset management subsystem 20 records the static weight attributes of each node, which characterize the importance of the node in business continuity. The architecture asset management subsystem 20 also records the directed edges between nodes, representing the call relationships or data flow between systems, and stores the coupling strength coefficients corresponding to the edges. The architecture asset management subsystem 20 provides a topology query service to the requirements coordination subsystem 10 to resolve the architectural impact domains involved in business requirements.

[0028] The project implementation management and control subsystem 30 is configured to manage the scheduling and resource allocation of project initiation requirements. This subsystem connects to the performance evaluation subsystem 50 and reads historical capability score data from departments. The project implementation management and control subsystem 30 has a built-in resource adaptive algorithm that calculates the maximum number of projects that can be implemented concurrently by each department in the current period based on the input score data. The project implementation management and control subsystem 30 maintains a buffer of pending requirements. When the number of projects currently being implemented by a department reaches the calculated threshold, the subsystem restricts the initiation of new requirements, temporarily storing the new requirements in the buffer until resources are released or quotas are increased.

[0029] The production verification subsystem 40 is configured to perform consistency checks during the requirements deployment phase. This subsystem obtains requirement identifiers from the requirements coordination subsystem 10, architecture configuration snapshots from the architecture asset management subsystem 20, and code commit records from the code version control system. The production verification subsystem 40 uses a hash algorithm to process these three sets of data to generate a production digital fingerprint. Before executing the deployment operation, the production verification subsystem 40 recalculates the fingerprint of the current environment and compares it with the pre-stored fingerprint; deployment is only unlocked if the two match.

[0030] The performance evaluation subsystem 50 is configured to calculate multi-dimensional quantitative scores. This subsystem collects workflow records from the demand coordination subsystem 10, overdue records from the project implementation control subsystem 30, and verification logs from the production verification subsystem 40. Based on a preset weight vector, the performance evaluation subsystem 50 calculates scores for each department in the dimensions of market response, demand coordination, agile implementation, and risk rectification. The performance evaluation subsystem 50 then feeds back the calculated agile implementation collaboration capability score to the project implementation control subsystem 30 as input parameters for calculating resource quotas in the next cycle, thus forming a data loop between the subsystems.

[0031] See attached document Figure 2 This invention provides a method for managing the entire lifecycle of enterprise requirements. This method is based on the aforementioned enterprise requirements lifecycle management system and includes the following steps: S1. The architecture asset management subsystem 20 establishes and maintains the architecture topology diagram, which includes physical subsystems, logical subsystems, application projects and component nodes, as well as edges representing the call relationships between nodes, and assigns static weight attributes to each node.

[0032] S2. The demand coordination subsystem 10 receives the input information of business requirements, generates a demand entity vector containing a unique identifier, and parses the set of target nodes in the architecture topology diagram involved in the demand according to the demand content.

[0033] S3. During the requirement approval stage, the architecture asset management subsystem 20 calculates the technology intrusion index by executing a graph traversal algorithm based on the distribution of the target node set in the architecture topology graph. The requirement coordination subsystem 10 compares the technology intrusion index with the preset risk threshold and routes the requirement to the fast track process, standard technical review process or strict control process according to the comparison result.

[0034] S4. When a requirement is approved and ready to enter the implementation phase, the project implementation control subsystem 30 obtains the agile implementation collaboration capability score of the department to which the requirement belongs from the assessment and evaluation subsystem 50 in the previous period, and calculates the maximum number of parallel implementation projects for the department in the current period based on this score. The project implementation control subsystem 30 detects the number of projects currently in the implementation state of the department. If the number reaches or exceeds the threshold, the project initiation operation of the requirement is frozen and the requirement is stored in the pending buffer. Otherwise, the requirement is allowed to be initiated and transferred to the implementation state.

[0035] S5. During project implementation, the requirements coordination subsystem 10 performs status synchronization operations with the external management system, and the project implementation control subsystem 30 monitors the actual time consumption of each process node and generates overdue records for nodes that exceed the expected time consumption.

[0036] S6. When the requirement development is completed and ready for production, the production verification subsystem 40 collects the unique identifier of the requirement, the architecture configuration snapshot recorded by the architecture asset management subsystem 20 during the implementation period, and the commit records of the code version control system, and generates a production digital fingerprint through hash operation. Before executing the deployment instruction, the production verification subsystem 40 recalculates the digital fingerprint of the current environment and compares it with the generated production digital fingerprint. If the two are consistent, the deployment is executed; otherwise, the deployment operation is blocked.

[0037] S7. At the end of the assessment period, the assessment and evaluation subsystem 50 calculates the multi-dimensional capability scores of each department based on the flow data of the demand coordination subsystem 10, the overdue records of the project implementation control subsystem 30, and the fingerprint verification logs of the production verification subsystem 40. The calculation results are then fed back to the project implementation control subsystem 30 as input parameters for the next cycle's execution step S4.

[0038] The enterprise demand lifecycle management method provided by this invention, in terms of architecture topology feature processing, firstly involves the architecture asset management subsystem 20 constructing and storing a directed graph model representing the enterprise's technical architecture. This directed graph model contains a set of nodes... It includes physical subsystem nodes, logical subsystem nodes, application engineering nodes, and component nodes. The architecture asset management subsystem 20 is represented by each node in the diagram. Configure a static weight value The static weight value ranges from 0 to 1 and is used to quantify the importance of the system facility corresponding to the node in ensuring business continuity. The architecture asset management subsystem 20 also defines the set of edges in a directed graph. Each directed edge represents a call dependency or data flow relationship between nodes. For the source node... Point to the destination node The directed edges, the coupling strength coefficients corresponding to storage in the 20 storage units of the architecture asset management subsystem. This coefficient is used to quantify the probability of the transmission of the impact of changes in upstream nodes on downstream nodes.

[0039] After receiving a new business requirement, the requirement coordination subsystem 10 parses the business domain attribute of the requirement and maps it to the initial set of influential nodes in the directed graph model maintained by the architecture asset management subsystem 20. The architecture asset management subsystem 20 is based on this initial set of affected nodes. A breadth-first search algorithm is used to traverse the directed graph to calculate the technical intrusion index of the business requirement on the overall architecture.

[0040] Architecture Asset Management Subsystem 20 Computing Technology Intrusion Index The specific logic follows the following mathematical relationship: ; in, Represents the initial set of affected nodes. Any node in the list; For nodes The static weight value; Indicates from node Starting from the set of all downstream affected nodes reachable through directed edges; Represents a set Any downstream node in the process; For downstream nodes The static weight value; Indicates from node To the node Cumulative coupling strength along the path; Represents a node To the node The topological distance is defined as the number of hops along the shortest path between the two nodes. The squared term in the denominator serves as a distance decay factor, used to reduce the weight of the far node on the overall index.

[0041] Demand Coordination Subsystem 10 obtains the technology intrusion index calculated by Architecture Asset Management Subsystem 20. And compare the index with the system's preset low-risk threshold. and high-risk threshold Perform numerical comparison and execute process routing operations based on the comparison results.

[0042] When the technology invasiveness index Less than the low risk threshold At that time, the demand coordination subsystem 10 routes the approval process of the business demand to the fast track, which does not include the initial technical review node and directly transfers it to the project scheduling stage.

[0043] When the technology invasiveness index Greater than or equal to the low-risk threshold And less than or equal to the high-risk threshold At that time, the demand coordination subsystem 10 will route the approval process to the standard process, which includes regular technical review nodes.

[0044] When the technology invasiveness index Greater than the high-risk threshold At this time, the demand coordination subsystem 10 routes the approval process to the strictly controlled process. In this process state, the demand coordination subsystem 10 sends a locking command to the architecture asset management subsystem 20. The architecture asset management subsystem 20 responds to this command by limiting the initial set of affected nodes through an interface call. Write permissions to the corresponding code repository will be locked until the system receives the approved risk mitigation plan entry record.

[0045] The enterprise demand lifecycle management method provided by this invention establishes a closed-loop feedback data path from the assessment and evaluation subsystem 50 to the project implementation control subsystem 30 in terms of resource scheduling and implementation control.

[0046] The project implementation management and control subsystem 30 is configured to perform assessments in each evaluation cycle. Initially, the target department is read from the performance evaluation subsystem 50 via the internal data bus. In the previous cycle Agile implementation and collaboration capability score This agile implementation collaboration capability score is a quantitative indicator reflecting the efficiency and quality of a department's requirement delivery in past cycles. Based on this historical scoring data, the project implementation management subsystem 30 calculates the target department's performance in the current cycle. The maximum number of concurrently implemented projects allowed at any given time.

[0047] The specific mathematical logic of the calculations performed by the project implementation control subsystem 30 follows the following formula: ; in, This represents the department's basic concurrent capacity constant, which is determined by the department's personnel size and infrastructure resources; This represents the system's baseline reference score; This represents the adjustment sensitivity coefficient, used to control the magnitude of the impact of score fluctuations on quotas; Normalization factor; function The hyperbolic tangent function is used to normalize the deviation of scores and map it to the interval (-1, 1), thereby smoothly adjusting the basic capacity; (symbol) This indicates a floor operation. Using this calculation logic, when a department's historical score is higher than the benchmark score, the system increases its concurrent allocation; when its historical score is lower than the benchmark score, the system decreases its concurrent allocation.

[0048] The project implementation management subsystem 30 calculates the threshold for the maximum number of projects to be implemented in parallel. Subsequently, congestion control is implemented for real-time project initiation requests from the target department. The project implementation management subsystem 30 queries the status database of the requirements coordination subsystem 10 in real time to count the number of requirements currently in the implementation stage for the target department. .

[0049] The project implementation management subsystem 30 will display the current number of implementations. With the calculated maximum number of parallel implementation projects threshold Perform numerical comparisons. When Less than At that time, the project implementation control subsystem 30 sends a release signal to the demand coordination subsystem 10, allowing the new demand entity to move from the project approval status to the implementation status.

[0050] when Greater than or equal to At that time, the project implementation control subsystem 30 sends a blocking signal to the demand coordination subsystem 10. In response to the blocking signal, the demand coordination subsystem 10 freezes the project initiation operation controls of the department's user interface at the physical level and routes the demand entities to be initiated to the pending buffer queue.

[0051] Project Implementation Management Subsystem 30 Continuous Monitoring The numerical change. Only when the department has completed its existing tasks, making Drop to below At that time, or when a new assessment cycle arrives and the department's agile implementation and collaboration capability score is... Improvement led to When an entity is added, the project implementation control subsystem 30 sends a release signal to release the demand entities in the pending buffer queue into the implementation phase.

[0052] The enterprise requirement lifecycle management method provided by this invention ensures consistency between business requirement planning, architecture design and code implementation by performing data integrity verification through the production verification subsystem 40 during the production verification phase.

[0053] When a business requirement transitions to the production deployment node in the requirement coordination subsystem 10, the production verification subsystem 40 obtains the multi-dimensional feature data of that business requirement through a data interface. The production verification subsystem 40 extracts the globally unique identifier of that business requirement from the requirement coordination subsystem 10. The production verification subsystem 40 extracts the set of architectural nodes associated with the business requirement during implementation from the architecture asset management subsystem 20. Configuration snapshot data This configuration snapshot data records the configuration status and topology connections of the relevant physical subsystems, logical subsystems, and components at the time of requirement implementation. Furthermore, the production verification subsystem 40 connects to the code version control system to extract the latest commit record identifier of the code branch associated with the business requirement. .

[0054] The production verification subsystem 40 uses a cryptographic hash algorithm to perform mixed operations on the extracted feature data to generate the expected production digital fingerprint for this business requirement. The computational logic executed by the production verification subsystem 40 follows the following mathematical formula: ; in, This represents a collision-resistant one-way hash function. This represents a bitwise XOR operation. Through this calculation logic, the identifier of the business requirement, the architecture configuration status, and the code version information are mathematically bound to an irreversible verification value.

[0055] The production verification subsystem 40 will calculate the expected production digital fingerprint. The data is stored in database server 200. Before the production environment deployment command is triggered, the production verification subsystem 40 acts as a mandatory verification gateway in the deployment pipeline. The production verification subsystem 40 reads the version information of the code package to be deployed and the current architecture configuration status of the production environment in real time, and recalculates the current verification fingerprint using the same hash algorithm logic. .

[0056] Production verification subsystem 40 will verify the current fingerprint With the expected production digital fingerprint stored in the database Perform binary comparison. When and When all conditions are met, the production verification subsystem 40 sends an unlock signal to the production environment deployment interface, allowing the deployment script to execute, and notifies the requirements coordination subsystem 10 to update the requirements status to pending acceptance.

[0057] when and In the event of inconsistency, the production verification subsystem 40 sends a blocking signal to the production environment deployment interface to terminate the deployment process. At this time, the production verification subsystem 40 generates an anomaly audit log, records the timestamp of the verification failure and the discrepancies, and sends the anomaly event data to the evaluation subsystem 50 as a negative input parameter for subsequent calculation of the implementation quality score.

[0058] The enterprise demand lifecycle management method provided by this invention utilizes an assessment and evaluation subsystem 50 to perform quantitative calculations during the evaluation and feedback phase. The assessment and evaluation subsystem 50 is configured to perform quantitative calculations in each assessment cycle. At the end, process data throughout the entire lifecycle is collected from the demand coordination subsystem 10, the project implementation control subsystem 30, and the production verification subsystem 40 through data interfaces.

[0059] The performance evaluation subsystem 50 calculates the total performance score for each business department based on the collected data. The overall assessment score It consists of a weighted sum of four dimensions, and its calculation logic follows the following mathematical relationship: ; in, This indicates the score for market responsiveness. This indicates the score for the ability to coordinate demand. This indicates the score for agile implementation and collaboration capabilities. This indicates the risk rectification rate score. These are the corresponding weight coefficients, and they satisfy... .

[0060] Score based on market responsiveness The performance evaluation subsystem is based on the number of marketing activities submitted by each department. With quality rating Perform the calculation: ; in, This represents the benchmark maximum marketing figure for that period. This represents the weight of the sub-item.

[0061] Score for ability to coordinate needs The assessment and evaluation subsystem is based on the demand acceptance conversion rate. Analysis timeliness Analytical quality and the proportion of demand Perform the calculation: ; in, to This represents the weight of the sub-item.

[0062] Scoring on Agile Implementation Collaboration Capability This score is a key feedback variable for achieving adaptive resource control in this embodiment of the invention. The evaluation subsystem 50 is based on the implementation rate. Plan execution rate Implementation quality and quantitative proportion Perform the calculation: ; The performance evaluation subsystem 50 calculates the plan execution rate. At that time, the system retrieves the number of overdue project records for that department within the specified period from the project implementation control subsystem 30. And use a deduction logic: ,in This represents the penalty coefficient for overdue payments.

[0063] The assessment and evaluation subsystem 50 calculates the implementation quality. At that time, the system reads the number of failure records of the department in the production fingerprint verification process from the production verification subsystem 40. And use a deduction logic ,in, This is the quality penalty coefficient.

[0064] Based on the risk rectification rate score The assessment and evaluation subsystem is based on the number of risks that have been repaired. Total risk Calculate the ratio: ; After the assessment and evaluation subsystem 50 completes the above calculations, it will generate an agile implementation collaboration capability score. The data is stored in the database server 200 and transmitted to the project implementation and control subsystem 30 via the system bus. After receiving the data, the project implementation and control subsystem 30 uses it as an input parameter and substitutes it into the resource quota formula in the aforementioned embodiment 2 to calculate the concurrent project initiation threshold for the department in the next cycle, thereby realizing dynamic closed-loop control of system resources based on capability performance.

Claims

1. A full lifecycle management system for enterprise requirements, characterized in that, The system operates in a computer network environment that includes an application server, a database server, and client terminals. The system includes: The demand coordination subsystem is configured to maintain demand entity vectors and use state machine logic to manage the entire lifecycle state flow of demands from entry, project initiation, implementation to production. The architecture asset management subsystem is configured to build and maintain an architecture topology diagram that includes physical subsystems, logical subsystems, application projects and component nodes, and record the static weight attributes of each node and the coupling strength coefficient of the directed edges between nodes. The project implementation management and control subsystem is configured to schedule the initiation of management requirements, calculate the maximum number of projects that can be implemented in parallel by the department in the current period based on the scoring data read from the assessment and evaluation subsystem, and perform congestion control on the initiation of new requirements based on the maximum number of projects that can be implemented in parallel. The production verification subsystem is configured to generate a production digital fingerprint based on the requirement identifier, architecture configuration snapshot and code commit record during the requirement production phase, and perform fingerprint consistency verification before deployment. The performance evaluation subsystem is configured to calculate multi-dimensional quantitative scores based on demand flow records, overdue records, and verification logs. The assessment and evaluation subsystem is configured to feed back the calculated agile implementation collaboration capability score to the project implementation management and control subsystem, and the project implementation management and control subsystem is configured to use the agile implementation collaboration capability score as an input parameter to calculate the maximum number of parallel implementation projects threshold for the next period.

2. The enterprise demand lifecycle management system according to claim 1, characterized in that, The architecture asset management subsystem is configured to traverse the architecture topology graph using a breadth-first search algorithm based on the initial set of impacting nodes involved in the requirements, and obtain the technology intrusion index. The calculation logic of the technology invasiveness index is as follows: for each initial impact node in the initial impact node set, calculate the sum of the static weight value of the initial impact node and the cumulative impact value of all downstream impact nodes of the initial impact node; and accumulate the sum of all nodes in the initial impact node set. The cumulative impact value is calculated as follows: traverse each downstream affected node reachable from the initial affected node through directed edges, multiply the static weight value of each downstream affected node by the cumulative coupling strength on the path, and divide by the square of the topological distance between the downstream affected node and the initial affected node to obtain the calculation result; then accumulate the calculation results. The demand coordination subsystem is configured to compare the technology invasiveness index with preset low-risk and high-risk thresholds, and route the demand to a fast track process, a standard technical review process, or a strict control process based on the comparison results.

3. The enterprise demand lifecycle management system according to claim 2, characterized in that, The routing logic executed by the demand coordination subsystem includes: When the technology invasiveness index is less than the low-risk threshold, the route is to a fast channel that does not contain a technology initial review node; When the technology invasiveness index exceeds the high-risk threshold, the system is routed to a strict control process and a locking command is sent to the architecture asset management subsystem to restrict write permissions to the code repository corresponding to the initial set of affected nodes.

4. The enterprise demand lifecycle management system according to claim 1, characterized in that, The project implementation management and control subsystem is configured to calculate the maximum number of projects to be implemented in parallel by adjusting the basic concurrency capacity constant of the department. The adjustment logic is as follows: obtain the agile implementation collaboration capability score of the target department in the previous period, calculate the difference between the agile implementation collaboration capability score and the system benchmark reference score and divide it by the normalization factor; perform hyperbolic tangent function operation on the calculation result, multiply the output value of the hyperbolic tangent function by the adjustment sensitivity coefficient and add one to obtain the adjustment coefficient; multiply the basic concurrency capacity constant by the adjustment coefficient and perform floor operation to obtain the maximum number of parallel implementation projects threshold.

5. The enterprise demand lifecycle management system according to claim 4, characterized in that, The congestion control implemented by the project implementation management subsystem includes: Real-time statistics on the number of needs currently in the implementation phase for the target department; If the number of requirements reaches or exceeds the maximum number of projects to be implemented in parallel, a blocking signal is sent to the requirement coordination subsystem to freeze the project initiation operation control and store the new requirements in the pending processing buffer. The demands in the pending buffer are released only when the number of demands drops below the maximum number of concurrent projects threshold or when a new assessment cycle causes the maximum number of concurrent projects threshold to increase.

6. The enterprise demand lifecycle management system according to claim 1, characterized in that, The production verification subsystem is configured to generate the production digital fingerprint using a collision-resistant one-way hash function and a bitwise XOR operation. The logic for generating the production digital fingerprint is as follows: obtain a unique identifier for the requirement; calculate the hash value of the architecture configuration snapshot data recorded during implementation; Calculate the hash value of the latest commit record identifier of the code branch; Perform a bitwise XOR operation on the unique identifier of the requirement, the hash value of the architecture configuration snapshot data, and the hash value of the latest commit record identifier of the code branch, and then perform the one-way hash function calculation again on the result of the XOR operation to obtain the expected verification value. When the deployment command is triggered, the production verification subsystem uses the same logic to recalculate the fingerprint of the current environment and compares it with the production digital fingerprint in binary.

7. The enterprise demand lifecycle management system according to claim 6, characterized in that, When the recalculated fingerprint is inconsistent with the production digital fingerprint, the production verification subsystem sends a blocking signal to the production environment deployment interface to terminate the deployment, generates an abnormal audit log that records the discrepancies, and sends the abnormal audit log to the assessment and evaluation subsystem.

8. The enterprise demand lifecycle management system according to claim 1, characterized in that, The assessment subsystem is configured to calculate a weighted total assessment score that includes scores for market responsiveness, demand coordination, agile implementation and collaboration, and risk rectification rate.

9. The enterprise demand lifecycle management system according to claim 8, characterized in that, When calculating the score for agile implementation collaboration capability, the assessment and evaluation subsystem includes calculating the plan execution sub-item based on the number of overdue records generated by the project implementation control subsystem, and calculating the implementation quality sub-item based on the number of verification failure records generated by the production verification subsystem. The number of overdue records and the number of verification failure records are both used as deduction parameters, and the result after deduction is less than zero.

10. A method for managing the entire lifecycle of enterprise demand, characterized in that, An enterprise demand lifecycle management system as described in any one of claims 1-9 includes the following steps: S1, the architecture asset management subsystem establishes and maintains an architecture topology diagram that includes node weights and edge coupling strength; S2, the demand coordination subsystem receives business demand input and parses the set of target nodes involved in the business demand; S3, the architecture asset management subsystem calculates the technology intrusion index based on the distribution of the target node set in the architecture topology diagram, and the demand coordination subsystem routes the demand to different levels of control processes according to the technology intrusion index; S4, the project implementation control subsystem obtains the department's agile implementation collaboration capability score in the previous period, calculates the maximum number of parallel implementation projects threshold in the current period based on the agile implementation collaboration capability score, and performs congestion control by releasing or storing new requirements in the buffer based on the maximum number of parallel implementation projects threshold. S5, During project implementation, the project implementation management subsystem monitors process time consumption and generates overdue records; S6. When a requirement is put into production, the production verification subsystem generates a production digital fingerprint based on the requirement identifier, architecture configuration snapshot, and code commit record, and performs fingerprint consistency verification before deployment. When the production digital fingerprint is consistent with the fingerprint of the current environment, the deployment operation is performed; when the production digital fingerprint is inconsistent with the fingerprint of the current environment, the blocking operation is performed. S7, the assessment and evaluation subsystem calculates the multi-dimensional capability scores of each department based on the flow data, overdue records and fingerprint verification logs, and provides the calculation results to the project implementation and control subsystem as input for the next cycle execution step S4.

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