Project asset data management method, device, equipment and storage medium
By preprocessing, classifying, and archiving project asset data, and managing it using asset pools and statistical views, the problem of scattered storage and management of project asset data has been solved, enabling real-time management and efficient data statistics.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA MERCHANTS BANK
- Filing Date
- 2023-10-30
- Publication Date
- 2026-06-12
AI Technical Summary
Existing technologies cannot perform real-time statistics and management of project asset data, resulting in scattered data storage that leads to management difficulties, and the rapid iteration speed makes it impossible to promptly identify asset discrepancies.
By preprocessing, classifying, and archiving real-time acquired project asset data, creating statistical views, and managing the asset pool, the process includes data cleaning, classification, label setting, and view creation.
It enables real-time statistics and management of project asset data, avoids the problem of scattered data storage, improves management efficiency and accuracy, and reduces the risk of missed analysis.
Smart Images
Figure CN117370841B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of data processing technology, and in particular to a method, apparatus, equipment and storage medium for project asset data management. Background Technology
[0002] As software scale and complexity continue to increase, and with the widespread application of cloud technology, the sheer volume of project asset data required to be accumulated in these complex systems is also growing exponentially. Project asset data, broadly defined, includes test design documents, test cases, test system documentation, database documentation, test data, test automation scripts, and test interface information.
[0003] However, in actual projects, the accelerated iteration speed leads to insufficient time between iterations. This directly results in testers quickly moving on to the next iteration after completing one, lacking the time and energy to analyze asset differences and thus failing to ensure the updating of project asset data. Furthermore, because this diverse project asset data is stored in multiple locations, it is difficult for managers to find specific data. Therefore, the industry urgently needs a data management method capable of real-time statistical analysis and management of project asset data.
[0004] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention
[0005] The main objective of this invention is to provide a method, apparatus, device, and storage medium for project asset data management, aiming to solve the technical problem that existing technologies cannot perform real-time statistics and management of project asset data.
[0006] To achieve the above objectives, the present invention provides a project asset data management method, the method comprising the following steps:
[0007] The real-time acquired project asset data is preprocessed to obtain preprocessed data, which is used to test the project.
[0008] The preprocessed data is classified to obtain classified data, and the classified data is archived and stored in the asset pool;
[0009] Based on the archive tags of the asset pool, a statistical view corresponding to the categorized data is created, enabling project testers to manage the project asset data based on the statistical view.
[0010] Optionally, after the step of creating a statistical view corresponding to the categorized data based on the archive tags of the asset pool, so that project testers can manage the project asset data based on the statistical view, the method further includes:
[0011] Static knowledge documents and system configuration documents are selected from the asset pool, and test models are performed based on the static knowledge documents and the system configuration documents to obtain project test cases;
[0012] The project test cases are tested, and the results are used to determine whether the project test cases meet the project requirements.
[0013] Optionally, the step of preprocessing the real-time acquired project asset data to obtain preprocessed data includes:
[0014] The acquired project asset data is subjected to data standardization verification, and the project asset data that fails the data standardization verification is cleaned to obtain preprocessed data.
[0015] The data standardization verification includes null value verification, empty string verification, duplicate value verification, sensitive word verification, and format verification.
[0016] Optionally, the step of classifying the preprocessed data to obtain classified data, and archiving the classified data and storing it in the asset pool includes:
[0017] Obtain the data type corresponding to the preprocessed data, whereby the data type includes text, images, charts, and databases;
[0018] The preprocessed data is classified based on the data type to obtain classified data, and the classified data is archived and stored in the asset pool.
[0019] Optionally, after the steps of classifying the preprocessed data to obtain classified data, and archiving the classified data and storing it in the asset pool, the method further includes:
[0020] Set the classification labels of the classified data as the archive labels of the asset pool;
[0021] When a valid update to a project is detected, the archived tags are matched with the project update event, and the categorized data in the asset pool is added, deleted, modified, and queried based on the matching results.
[0022] Optionally, the step of creating a statistical view corresponding to the categorized data based on the archived tags of the asset pool, so that project testers can manage the project asset data based on the statistical view, includes:
[0023] Archive tasks are created based on the archive tags of the asset pool, and the current execution status of the archive tasks is detected. The current execution status includes pending status, in progress status, and completed status.
[0024] Based on the current execution status, a statistical view corresponding to the categorized data is created, so that project testers can manage the project asset data based on the statistical view.
[0025] Optionally, the project asset data management method further includes:
[0026] Based on the project background, project scope, and project environment in the project asset data, generate product defects and product risks corresponding to the products in the project asset data;
[0027] The product defects and risks are categorized and registered in the product issue list in real time, so that the project testers can conduct project testing and adjustments based on the product issue list.
[0028] Furthermore, to achieve the above objectives, the present invention also proposes a project asset data management device, the project asset data management device comprising:
[0029] The data processing module is used to preprocess the real-time acquired project asset data to obtain preprocessed data, which is used to test the project.
[0030] The data archiving module is used to classify the preprocessed data to obtain classified data, and then archive the classified data and store it in the asset pool.
[0031] The data statistics module is used to create statistical views corresponding to the categorized data based on the archived tags of the asset pool, so that project testers can manage the project asset data based on the statistical views.
[0032] Furthermore, to achieve the above objectives, the present invention also proposes a project asset data management device, the device comprising: a memory, a processor, and a project asset data management program stored in the memory and executable on the processor, the project asset data management program being configured to implement the steps of the project asset data management method described above.
[0033] In addition, to achieve the above objectives, the present invention also proposes a storage medium storing a project asset data management program, wherein when the project asset data management program is executed by a processor, it implements the steps of the project asset data management method described above.
[0034] This invention preprocesses real-time acquired project asset data to obtain preprocessed data, which is used for project testing. The preprocessed data is then categorized to obtain categorized data, which is archived and stored in an asset pool. A statistical view corresponding to the categorized data is created based on the archive tags in the asset pool, enabling project testers to manage the project asset data using this statistical view. Compared to traditional project asset data management methods, this invention avoids the management difficulties caused by dispersing different types of project asset data in multiple locations by preprocessing and categorizing the real-time acquired project asset data. Furthermore, by archiving the categorized data and storing it in the asset pool, and finally creating a statistical view corresponding to the categorized data based on the archive tags in the asset pool, real-time statistics and management of project asset data are possible. Attached Figure Description
[0035] Figure 1 This is a schematic diagram of the structure of the project asset data management device in the hardware operating environment involved in the embodiments of the present invention;
[0036] Figure 2 This is a flowchart illustrating the first embodiment of the asset data management method of the present invention.
[0037] Figure 3 This is a flowchart illustrating the second embodiment of the asset data management method of the present invention.
[0038] Figure 4 This is a schematic diagram of the project testing process in the project asset data management method of the present invention;
[0039] Figure 5 This is a flowchart illustrating the third embodiment of the asset data management method of the present invention.
[0040] Figure 6 This is a schematic diagram of the human-computer interaction of the asset data management method of the present invention.
[0041] Figure 7 This is a structural block diagram of the first embodiment of the asset data management device of the present invention.
[0042] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0043] It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the scope of the invention.
[0044] Reference Figure 1 , Figure 1This is a schematic diagram of the project asset data management device structure in the hardware operating environment involved in the embodiments of the present invention.
[0045] like Figure 1 As shown, the asset data management equipment for this project may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wireless-Fidelity (Wi-Fi) interface). The memory 1005 may be high-speed random access memory (RAM) or stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.
[0046] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the project asset data management equipment and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0047] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a project asset data management program.
[0048] exist Figure 1 In the project asset data management device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the project asset data management device of the present invention can be set in the project asset data management device, and the project asset data management device calls the project asset data management program stored in the memory 1005 through the processor 1001 and executes the project asset data management method provided in the embodiment of the present invention.
[0049] This invention provides a method for managing project asset data, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of the asset data management method of the present invention.
[0050] In this embodiment, the project asset data management method includes the following steps:
[0051] Step S10: Perform data preprocessing on the real-time acquired project asset data to obtain preprocessed data, which is used to test the project.
[0052] It should be noted that the executing entity of the method in this embodiment can be a terminal device with data statistics, data processing, and program execution functions, such as a smartphone or smartwatch, or an electronic device with the same or similar functions, such as the aforementioned project asset data management device. The following description uses the project asset data management device (hereinafter referred to as the management device) as an example to illustrate this embodiment and the subsequent embodiments.
[0053] Understandably, the aforementioned project asset data can be used to test the project. More specifically, project asset data may include test design documents, test cases, test system documentation, database documentation, test automation scripts, test interface information, etc., and this embodiment does not impose any limitations on this.
[0054] In specific implementation, the above-mentioned preprocessing steps for project asset data can be achieved through data cleaning (checking and processing outliers such as erroneous, missing, and duplicate values in project asset data), data integration (integrating project asset data from multiple data sources into a unified dataset), data transformation (normalizing, standardizing, discretizing, and normalizing project asset data), feature selection (selecting the most predictive features from the original project asset data to reduce feature dimensions and redundant information), and data standardization (normalizing or standardizing data to ensure that the data have similar scale and range). This embodiment does not limit these steps.
[0055] Step S20: Classify the preprocessed data to obtain classified data, and archive the classified data and store it in the asset pool.
[0056] It should be noted that the aforementioned asset pool can refer to an asset portfolio formed by managing or packaging multiple assets (such as loans, securities, bonds, etc.) together. These assets typically share similar characteristics, such as risk level, expected return, and maturity date.
[0057] In practice, preprocessed data can be classified based on its characteristics (such as data type, data format, data size, etc.) to obtain classified data.
[0058] Step S30: Create a statistical view corresponding to the categorized data based on the archived tags of the asset pool, so that project testers can manage the project asset data based on the statistical view.
[0059] It should be noted that the above statistical view can be a view that can visually categorize and display project asset data.
[0060] In practice, project testers can use the above statistical views to assign, supervise, and control tasks, making it easier for managers to track project asset data and related asset archiving tasks daily. This allows managers to obtain specific data such as project participants, completion time, and completion rate more intuitively.
[0061] Furthermore, in this embodiment, in order to obtain better project testing results and thus improve the credibility of project testing to provide reference value for actual projects, step S30 may further include:
[0062] Step S40: Select static knowledge documents and system configuration documents from the asset pool, and perform test modeling based on the static knowledge documents and system configuration documents to obtain project test cases.
[0063] It should be noted that the management device described in this embodiment includes a knowledge base for storing the project asset data. Specifically, the knowledge base supports functions such as online editing of project asset data, simultaneous editing by multiple users, data locking, and data access control.
[0064] It should be understood that the aforementioned static knowledge documents may include system introductions, special topic documents, etc., and designers can directly access the aforementioned knowledge base to search for relevant knowledge points; the aforementioned system configuration documents may be documents that verify whether the system development configuration is correct.
[0065] Step S50: Perform project testing on the project test cases, and determine whether the project test cases meet the project requirements based on the project test results.
[0066] In practical implementation, as project deployment accelerates and iterations become increasingly detailed, the impact analysis between versions becomes crucial. While direct impacts are relatively easy for testers to identify and analyze, indirect impacts are often harder to detect, easily overlooked, and can lead to risks and hidden dangers. Therefore, this embodiment addresses this by binding the current test asset graph to the developed system interfaces during the accumulation and association of project asset data. Once changes to specific interfaces are identified in the project, the system can automatically retrieve the affected asset graphs, thus providing the scope of impact. This reduces the risk of testers missing crucial analysis points. The main solution is as follows: During asset modeling, the corresponding development interfaces are bound simultaneously; during project implementation, the system retrieves interface change information from the versions submitted by development and automatically pulls the associated asset graphs based on these interfaces, thereby achieving the goal of clarifying the scope of related impacts. If the binding of interfaces can be done at a smaller functional or module level, the system's assessment of the impact scope will be even more precise.
[0067] This embodiment preprocesses real-time acquired project asset data to obtain preprocessed data, which is used for project testing. The preprocessed data is then categorized to obtain classified data, which is archived and stored in an asset pool. A statistical view corresponding to the classified data is created based on the archive tags of the asset pool, allowing project testers to manage the project asset data using this view. Static knowledge documents and system configuration documents are selected from the asset pool, and test modeling is performed based on these documents to obtain project test cases. Project tests are then conducted on these test cases, and the results are used to determine whether the test cases meet project requirements. Compared to traditional project asset data management methods, this embodiment avoids the management difficulties caused by dispersing different types of project asset data in multiple locations by preprocessing and classifying the real-time acquired project asset data. Furthermore, by archiving the obtained classified data and storing it in the asset pool, and finally creating a statistical view corresponding to the classified data based on the archive tags of the asset pool, real-time statistics and management of project asset data are possible.
[0068] refer to Figure 3 , Figure 3 This is a flowchart illustrating the second embodiment of the asset data management method of the present invention.
[0069] Based on the first embodiment described above, in this embodiment, to avoid the negative impact of invalid data on the project asset data management method of this embodiment, step S10 may include:
[0070] Step S101: Perform data standardization verification on the acquired project asset data, and perform data cleaning on the project asset data that fails the data standardization verification to obtain preprocessed data.
[0071] It should be noted that the above data standardization checks may include null value checks, empty string checks, duplicate value checks, sensitive word checks, and format checks.
[0072] It should be understood that the project asset data that failed the aforementioned data standardization verification can be considered invalid data. Therefore, these invalid data can be cleaned to obtain preprocessed data.
[0073] Furthermore, in this embodiment, in order to improve the classification accuracy of project asset data, step S20 may include:
[0074] Step S201: Obtain the data type corresponding to the preprocessed data, where the data type includes text, images, charts, and databases.
[0075] It should be understood that the text mentioned above may include Chinese, English, Japanese, etc., and the images mentioned above may include JPEG (Joint Photographic Experts Group) format images, GIF (Graphics Interchange Format) images, BMP (Bitmap) format images, etc., and this embodiment does not limit them.
[0076] Step S202: Classify the preprocessed data based on the data type to obtain classified data, and archive the classified data and store it in the asset pool.
[0077] Step S203: Set the classification label of the classification data as the archive label of the asset pool.
[0078] It should be noted that the above classification labels can be used as the basis for classifying the above classification data. The asset pool can be divided based on the above classification basis (i.e., the archive labels), thereby enabling different types of classification data to be archived into different asset pools, which further improves the classification accuracy of project asset data.
[0079] refer to Figure 4 , Figure 4 This is a schematic diagram of the project testing process in the project asset data management method of this invention. Figure 4 As can be seen, after data standardization verification, data cleaning and data classification, project asset data is archived into the asset pool, and project test cases are output from the asset pool to realize the project testing process in this embodiment.
[0080] Step S204: When a valid update to a project is detected, the archived tag is matched with the project update event, and the classification data in the asset pool is added, deleted, modified, and queried based on the matching result.
[0081] This embodiment performs data standardization verification on the acquired project asset data and cleanses the data that fails the verification to obtain preprocessed data. The data standardization verification includes null value verification, empty string verification, duplicate value verification, sensitive word detection, and format verification. The data type corresponding to the preprocessed data is obtained, including text, images, charts, and databases. Based on the data type, the preprocessed data is classified to obtain categorized data, which is then archived and stored in the asset pool. The categorization tags of the categorized data are set as the archive tags for the asset pool. When a valid project update is detected, the archive tags are matched with the project update event, and the categorized data in the asset pool is added, deleted, modified, and queried based on the matching results. Compared to traditional project asset data management methods, this embodiment performs data standardization verification and data cleansing on the acquired project asset data, thereby avoiding the negative impact of invalid data on the project asset data management method of this embodiment.
[0082] refer to Figure 5 , Figure 5 This is a flowchart illustrating the third embodiment of the asset data management method of the present invention.
[0083] Based on the above embodiments, in this embodiment, in order to enable managers to manage project asset data more intuitively, thereby improving the work efficiency of managers, step S30 may include:
[0084] Step S301: Create an archiving task based on the archiving tag of the asset pool, and detect the current execution status of the archiving task. The current execution status includes pending status, in progress status, and completed status.
[0085] refer to Figure 6 , Figure 6 This is a schematic diagram illustrating the human-computer interaction of the asset data management method of this invention. Figure 6 As can be seen, project testers can send project asset data to the management device, and the management device can perform data preprocessing and data classification on the project asset data to obtain a statistical view. Finally, the statistical view will show the current execution status of the archived tasks and send the current execution status to the project testers for review, thereby realizing the management of project asset data.
[0086] Step S302: Create a statistical view corresponding to the categorized data based on the current execution state, so that project testers can manage the project asset data based on the statistical view.
[0087] In practical implementation, some project asset data may not be archived in real time during the project. It needs to be sorted and archived into the asset pool by the product manager after the project ends. Therefore, this embodiment provides a post-project archiving solution for such project asset data. The solution automatically generates archiving tasks. After the project ends, testers trigger the completed workflow action in the system, which automatically triggers the archiving task for project asset data. The task allows for the categorization of project asset data that cannot be archived in real time, listing the asset archiving confirmation information. Testers can confirm the archiving time and status in the task, and perform real-time online editing and archiving operations. For tasks that are not confirmed or completed in a timely manner, the management device can provide a timed message reminder function to ensure that tasks are processed promptly.
[0088] Based on the above embodiments, in this embodiment, to avoid the negative impact of risk data during project implementation, the project asset data management method may further include:
[0089] Step S60: Based on the project background, project scope, and project environment in the project asset data, generate product defects and product risks corresponding to the products in the project asset data.
[0090] Step S70: The product defects and product risks are classified and registered in the product problem list in real time, so that the project testers can conduct project testing and adjustments based on the product problem list.
[0091] It should be understood that all product information involved in the project can be registered in the knowledge base and form a functional list (product + functional item). During project implementation, any changes or deletions to the functional list may be subject to constraints on the consistency between the project and project asset data, ensuring the preservation of asset information.
[0092] In practical implementation, the aforementioned project testers can use the product issue list to better design tests and formulate test strategies. Simultaneously, during project initiation and implementation, historical defects and risks can be retrieved and referenced to alert project implementers, providing valuable guidance, especially for newcomers to the product. In this embodiment, the application of historical defects and risks is implemented through the product issue list. By archiving product defects and risks in the issue list, the project can review the corresponding defects and risks when referencing the issue list template, ensuring rapid risk identification during project implementation.
[0093] This embodiment defines archiving tasks based on the archiving tags of the asset pool and detects the current execution status of the archiving tasks, which includes pending, in progress, and completed statuses. Based on the current execution status, a statistical view corresponding to the categorized data is created, enabling project testers to manage the project asset data using this view. Based on the project background, scope, and environment in the project asset data, product defects and risks corresponding to the products in the project asset data are generated. These product defects and risks are then categorized and registered in a product issue list in real time, allowing project testers to perform project testing and adjustments based on this list. Compared to traditional project asset data management methods, this embodiment generates a product issue list based on the project background, scope, and environment, providing managers with a more intuitive way to manage project asset data, thereby improving their work efficiency.
[0094] Furthermore, this embodiment of the invention also proposes a storage medium storing a project asset data management program, which, when executed by a processor, implements the steps of the project asset data management method described above.
[0095] Reference Figure 7 , Figure 7 This is a structural block diagram of the first embodiment of the asset data management device of the present invention.
[0096] like Figure 7 As shown, the project asset data management device proposed in this embodiment of the invention includes:
[0097] Data processing module 701 is used to preprocess the real-time acquired project asset data to obtain preprocessed data, which is used to test the project.
[0098] The data archiving module 702 is used to classify the preprocessed data to obtain classified data, and then archive the classified data and store it in the asset pool.
[0099] The data statistics module 703 is used to create a statistical view corresponding to the classified data based on the archived tags of the asset pool, so that project testers can manage the project asset data based on the statistical view.
[0100] This embodiment preprocesses real-time acquired project asset data to obtain preprocessed data, which is used for project testing. The preprocessed data is then categorized to obtain categorized data, which is archived and stored in an asset pool. A statistical view corresponding to the categorized data is created based on the archive tags in the asset pool, allowing project testers to manage the project asset data using this view. Compared to traditional project asset data management methods, this embodiment avoids the management difficulties caused by dispersing different types of project asset data in multiple locations by preprocessing and categorizing the real-time acquired project asset data. Furthermore, by archiving the categorized data and storing it in the asset pool, and finally creating a statistical view corresponding to the categorized data based on the archive tags in the asset pool, real-time statistics and management of project asset data are possible.
[0101] Based on the first embodiment of the project asset data management device of the present invention, a second embodiment of the project asset data management device of the present invention is proposed.
[0102] In this embodiment, the data processing module 701 is further configured to perform data standardization verification on the acquired project asset data, and to perform data cleaning on the project asset data that fails the data standardization verification to obtain preprocessed data; wherein, the data standardization verification includes null value verification, empty string verification, duplicate value verification, sensitive word verification, and format verification.
[0103] Furthermore, the data archiving module 702 is also used to obtain the data type corresponding to the preprocessed data, the data type including text, image, chart and database; classify the preprocessed data based on the data type to obtain classified data, and archive the classified data and store it in the asset pool.
[0104] Furthermore, the data archiving module 702 is also used to set the classification labels of the classified data as the archiving labels of the asset pool; when a valid update of a project is detected, the archiving labels are matched with the project update event, and the classified data in the asset pool is added, deleted, modified, and queried based on the matching results.
[0105] Furthermore, the data statistics module 703 is also used to filter static knowledge documents and system configuration documents from the asset pool, and perform test modeling based on the static knowledge documents and system configuration documents to obtain project test cases; perform project testing on the project test cases, and determine whether the project test cases meet the project requirements based on the project test results.
[0106] Furthermore, the data statistics module 703 is also used to formulate archiving tasks based on the archiving tags of the asset pool, and detect the current execution status of the archiving tasks, the current execution status including pending status, in-process status and completed status; and to create a statistical view corresponding to the classified data based on the current execution status, so that project testers can manage the project asset data based on the statistical view.
[0107] Furthermore, the data statistics module 703 is also used to generate product defects and product risks corresponding to the products in the project asset data based on the project background, project scope and project environment in the project asset data; and to classify and register the product defects and product risks in real time into the product problem list so that the project testers can conduct project testing and project adjustments based on the product problem list.
[0108] Other embodiments or specific implementations of the asset data management device of the present invention can be referred to the above-described method embodiments, and will not be repeated here.
[0109] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.
[0110] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0111] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.
[0112] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.
Claims
1. A method for managing project asset data, characterized in that, The method includes the following steps: The real-time acquired project asset data is preprocessed to obtain preprocessed data, which is used to test the project. The preprocessed data is classified to obtain classified data, and the classified data is archived and stored in the asset pool; Based on the archive tags of the asset pool, a statistical view corresponding to the categorized data is created, so that project testers can manage the project asset data based on the statistical view; The step of creating a statistical view corresponding to the categorized data based on the archived tags of the asset pool, so that project testers can manage the project asset data based on the statistical view, includes: Archive tasks are created based on the archive tags of the asset pool, and the current execution status of the archive tasks is detected. The current execution status includes pending status, in progress status, and completed status. Based on the current execution status, a statistical view corresponding to the categorized data is created, so that project testers can manage the project asset data based on the statistical view.
2. The project asset data management method as described in claim 1, characterized in that, After the step of creating a statistical view corresponding to the categorized data based on the archive tags of the asset pool, so that project testers can manage the project asset data based on the statistical view, the method further includes: Static knowledge documents and system configuration documents are selected from the asset pool, and test models are performed based on the static knowledge documents and the system configuration documents to obtain project test cases; The project test cases are tested, and the results are used to determine whether the project test cases meet the project requirements.
3. The project asset data management method as described in claim 1, characterized in that, The step of preprocessing the real-time acquired project asset data to obtain preprocessed data includes: The acquired project asset data is subjected to data standardization verification, and the project asset data that fails the data standardization verification is cleaned to obtain preprocessed data. The data standardization verification includes null value verification, empty string verification, duplicate value verification, sensitive word verification, and format verification.
4. The project asset data management method as described in claim 1, characterized in that, The steps of classifying the preprocessed data to obtain classified data, and archiving the classified data and storing it in the asset pool include: Obtain the data type corresponding to the preprocessed data, whereby the data type includes text, images, charts, and databases; The preprocessed data is classified based on the data type to obtain classified data, and the classified data is archived and stored in the asset pool.
5. The project asset data management method as described in claim 4, characterized in that, After the steps of classifying the preprocessed data to obtain classified data, and archiving the classified data and storing it in the asset pool, the method further includes: Set the classification labels of the classified data as the archive labels of the asset pool; When a valid update to a project is detected, the archived tags are matched with the project update event, and the categorized data in the asset pool is added, deleted, modified, and queried based on the matching results.
6. The project asset data management method as described in any one of claims 1-5, characterized in that, The method further includes: Based on the project background, project scope, and project environment in the project asset data, generate product defects and product risks corresponding to the products in the project asset data; The product defects and risks are categorized and registered in the product issue list in real time, so that the project testers can conduct project testing and adjustments based on the product issue list.
7. A project asset data management device, characterized in that, The project asset data management device includes: The data processing module is used to preprocess the real-time acquired project asset data to obtain preprocessed data, which is used to test the project. The data archiving module is used to classify the preprocessed data to obtain classified data, and then archive the classified data and store it in the asset pool. The data statistics module is used to create a statistical view corresponding to the classified data based on the archived tags of the asset pool, so that project testers can manage the project asset data based on the statistical view; The data statistics module is also used for: Archive tasks are created based on the archive tags of the asset pool, and the current execution status of the archive tasks is detected. The current execution status includes pending status, in progress status, and completed status. Based on the current execution status, a statistical view corresponding to the categorized data is created, so that project testers can manage the project asset data based on the statistical view.
8. A project asset data management device, characterized in that, The device includes: a memory, a processor, and a project asset data management program stored in the memory and executable on the processor, the project asset data management program being configured to implement the steps of the project asset data management method as described in any one of claims 1 to 6.
9. A storage medium, characterized in that, The storage medium stores a project asset data management program, which, when executed by a processor, implements the steps of the project asset data management method as described in any one of claims 1 to 6.