Software development service data analysis decision system

Abstract

The invention discloses a software development service data analysis decision system, and belongs to the technical field of software development analysis. The method comprises the following steps: performing problem data monitoring statistics and processing in a software development test stage and a software development pilot run stage to obtain a first development problem processing set and a second development problem processing set in corresponding stages; a first development problem processing set and a second development problem processing set obtained by monitoring in different stages of software development are subjected to problem influence analysis in different dimensions, and corresponding service optimization decision prompts are adaptively generated according to the problem influence analysis results in different dimensions. Various problem influence analysis and data decision prompt in different stages and overall dimensions of software development are realized; the method is used for solving the technical problems that in an existing scheme, the anomaly autonomous supervision analysis effect on different aspects of software development service is poor, and the analysis decision effect on different anomalies is poor.

Description

Technical Field

[0001] The present invention relates to the technical field of software development analysis, and in particular to a software development service data analysis decision system. Background Art

[0002] Software development services include the entire process of designing, creating, testing and maintaining software applications. These services may involve custom software development, system integration, application management and technical consulting. The ultimate goal is to provide high-quality software solutions that meet customer needs.

[0003] When implemented, the existing software development service data analysis and decision-making solutions cannot conduct impact assessments on anomalies discovered during software development testing and anomalies that occur during trial runs, and cannot adaptively implement targeted software development service decision prompts for individual developers and the overall development team based on the impact assessment results corresponding to different anomalies. As a result, the autonomous supervision and analysis of anomalies in different aspects of software development services is not effective, and the analysis and decision-making effects of different anomalies are not effective. Summary of the invention

[0004] The purpose of the present invention is to provide a software development service data analysis and decision-making system to solve the technical problems of poor abnormal autonomous supervision and analysis effects in different aspects of software development services and poor different abnormal analysis and decision-making effects in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A software development service data analysis and decision-making system, comprising:

[0007] The software development problem monitoring and statistical processing module is used to monitor, count and process all problems found during the software development and testing phase and all problems that occurred during the software development and trial operation phase, and obtain the first development problem processing set and the second development problem processing set of the corresponding phase;

[0008] The software development problem data processing and analysis module is used to perform problem impact analysis of different dimensions on the first development problem processing set and the second development problem processing set obtained by monitoring at different stages of software development, and adaptively generate corresponding service optimization decision prompts according to the problem impact analysis results of different dimensions; including:

[0009] Wherein, the first problem impact and the second problem impact corresponding to the software development test phase and the software development trial operation phase are respectively obtained according to the first development problem processing set and the second development problem processing set;

[0010] The first problem impact and the second problem impact calculated and obtained in the software development test phase and the software development trial operation phase are sorted and combined respectively to obtain a test phase impact processing sequence and a trial operation phase impact processing sequence;

[0011] Implement the impact analysis of the problems in the software development phase dimension according to the impact processing sequence in the test phase and the impact processing sequence in the trial operation phase, and generate phase service optimization decision prompts for the abnormal development phase obtained by the analysis;

[0012] In addition, we implement problem impact analysis in the overall dimension of software development, and generate service optimization decision prompts based on the overall impact anomaly labels obtained from the analysis.

[0013] Preferably, when monitoring and counting all problems found during the software development and testing phase, the test problem manifestation, test problem location, test problem type and test problem developer found by the tester are obtained;

[0014] Obtain the timestamp corresponding to the discovery of the test problem and set it as the test problem number, sort and combine the test problem number, test problem performance, test problem location, test problem type and test problem developer to obtain the individual test problem supervision sequence;

[0015] The individual test problem supervision sequences discovered and processed are sorted and combined in chronological order of discovery to obtain a first development problem processing set.

[0016] Preferably, when monitoring and counting all problems found during the trial operation phase of software development, the feedback problem performance, feedback problem location, feedback problem type, feedback problem developer and feedback problem tester fed back by the trial operation personnel are obtained;

[0017] Obtain the timestamp corresponding to the occurrence of the feedback problem and set it as the feedback problem number, sort and combine the feedback problem number, feedback problem performance, feedback problem location, feedback problem type, feedback problem developer and feedback problem tester to obtain the individual feedback problem supervision sequence;

[0018] The individual feedback problem supervision sequences of the feedback processing are sorted and combined according to the chronological order of the feedback to obtain the second development problem processing set.

[0019] Preferably, the total number of test problems N1 and the total number of feedback problems N2 that appear in the corresponding stages are counted according to the first development problem processing set and the second development problem processing set, and the first influencing formula is used to calculate the total number of test problems N1 and the total number of feedback problems N2 that appear in the corresponding stages. Calculate and obtain the impact of the first problem corresponding to different stages; where k=1, 2; WYk is WY1 and WY2, which are the impact of the first problem corresponding to the software development and testing stage and the software development and trial operation stage respectively; Nk is N1 and N2; N′k is N′1 and N′2, which are the total number of test problem standards and the total number of feedback problem standards corresponding to the software development and testing stage and the software development and trial operation stage respectively; Ak is A1 and A2, which are the standard values ​​of test problems and the standard values ​​of feedback problems corresponding to the software development and testing stage and the software development and trial operation stage respectively; [] is the rounding function.

[0020] Preferably, all test problem positions and test problem types, all feedback problem positions and feedback problem types occurring in the corresponding stages are counted according to the first development problem processing set and the second development problem processing set;

[0021] All test question positions and feedback question positions are digitized to obtain first position weights WQi and second position weights WQj corresponding to different test question positions and feedback question positions; i and j are different test question positions and feedback question positions, i = {1, 2, 3, ..., n}; n is a positive integer; j = {1, 2, 3, ..., m}; m is a positive integer;

[0022] And, all test question types and feedback question types are digitized to obtain the first type weight LQi and the second type weight LQj corresponding to different test question types and feedback question types; and respectively through the second influence formula and Calculate and obtain the impact of the second problem corresponding to different stages; where WE1 and WE2 are the impact of the second problem corresponding to the software development and testing stage and the software development and trial operation stage respectively; α and β are different weight coefficients, and α≥1, β≥1; B1 and B2 are the standard values ​​of the test problem weight and the standard values ​​of the feedback problem weight corresponding to the software development and testing stage and the software development and trial operation stage respectively.

[0023] Preferably, when performing the problem impact analysis in the software development phase dimension, the impact processing sequence of the test phase and the impact processing sequence of the trial operation phase are traversed and analyzed respectively. If the values ​​in the traversal results are all 0, a normal label of the phase impact is generated and prompted;

[0024] If there is a value in the traversal result that is not 0, the generation stage affects the abnormal label and marks the corresponding stage as an abnormal development stage. At the same time, a stage service optimization decision prompt is generated for the abnormal development stage.

[0025] Preferably, when implementing the problem impact analysis of the overall dimension of software development, the third impact formula is used Calculate and obtain the impact of the third problem corresponding to all stages; where WS is the impact of the third problem corresponding to all stages; B3 is the standard value of the overall problem weight corresponding to the overall software development stage.

[0026] Preferably, data analysis is performed on the impact of the third problem. If the impact of the third problem is 0, a normal overall impact label is generated and prompted.

[0027] If the impact of the third problem is not 0, an overall impact exception label is generated and an overall service optimization decision prompt is generated.

[0028] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0029] The present invention obtains the first development problem processing set and the second development problem processing set of the corresponding stages by monitoring, counting and processing problem data in the software development test phase and the software development trial operation phase, which can provide reliable monitoring problem data support for subsequent problem impact data analysis in different aspects.

[0030] The present invention performs problem impact analysis in different dimensions on the first development problem processing set and the second development problem processing set obtained by monitoring at different stages of software development, and adaptively generates corresponding service optimization decision prompts according to the problem impact analysis results at different dimensions, thereby realizing diverse problem impact analysis and data decision prompts at different stages of software development and overall dimensions, and improving the abnormal autonomous supervision analysis effect of different aspects of software development services and the different abnormal analysis decision effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings.

[0032] Figure 1 The present invention is a principle block diagram of the implementation steps of a software development service data analysis and decision-making system. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] like Figure 1 As shown, the present invention is a software development service data analysis and decision-making system, including a software development problem monitoring and statistical processing module and a software development problem data processing and analysis module;

[0035] The software development problem monitoring and statistical processing module is used to monitor, count and process all problems found during the software development and testing phase and all problems that occur during the software development and trial operation phase, and obtain the first development problem processing set and the second development problem processing set of the corresponding phase; including:

[0036] When monitoring and counting all problems found during the software development and testing phase, obtain the test problem performance, test problem location, test problem type and test problem developer found by the tester;

[0037] The test problem manifestation and test problem type are determined by the tester based on the test results. The test problem location can be accurately determined to the corresponding software code line number, so that the corresponding test problem developer can be efficiently obtained and the subsequent problem processing can be carried out;

[0038] In addition, the test problem types are determined by the existing software development problem type design scheme, specifically including but not limited to functional defect types, performance problem types, compatibility problem types, security vulnerability types, and data-related problem types;

[0039] Get the timestamp corresponding to the test problem discovery and set it as the test problem number. The timestamp unit is accurate to seconds. Sort and combine the test problem number, test problem performance, test problem location, test problem type and test problem developer to obtain the individual test problem supervision sequence.

[0040] The individual test problem supervision sequences discovered and processed are sorted and combined according to the chronological order of discovery to obtain a first development problem processing set;

[0041] When monitoring and counting all problems found during the trial operation phase of software development, obtain the feedback problem performance, feedback problem location, feedback problem type, feedback problem developer and feedback problem tester from the trial operation personnel;

[0042] Among them, the determination rules of feedback question types are the same as those of test question types;

[0043] Get the timestamp corresponding to the occurrence of the feedback problem and set it as the feedback problem number. The unit of the timestamp is accurate to seconds. Sort and combine the feedback problem number, feedback problem performance, feedback problem location, feedback problem type, feedback problem developer and feedback problem tester to obtain the individual feedback problem supervision sequence;

[0044] The individual feedback problem supervision sequences of the feedback processing are sorted and combined according to the time order of the feedback to obtain the second development problem processing set;

[0045] In an embodiment of the present invention, by monitoring, counting and processing problem data in the software development test phase and the software development trial operation phase, a first development problem processing set and a second development problem processing set of the corresponding phase are obtained, which can provide reliable monitoring problem data support for subsequent problem impact data analysis in different aspects.

[0046] The software development problem data processing and analysis module is used to perform problem impact analysis of different dimensions on the first development problem processing set and the second development problem processing set obtained by monitoring at different stages of software development, and adaptively generate corresponding service optimization decision prompts according to the problem impact analysis results of different dimensions; including:

[0047] According to the first development problem processing set and the second development problem processing set, the total number of test problems N1 and the total number of feedback problems N2 in the corresponding stages are counted respectively, and the first impact formula is used Calculate and obtain the first problem impact corresponding to different stages; where k = 1, 2; WYk is WY1 and WY2, which are the first problem impacts corresponding to the software development test stage and the software development trial run stage, respectively; Nk is N1 and N2; N′k is N′1 and N′2, which are the total number of test problem standards and the total number of feedback problem standards corresponding to the software development test stage and the software development trial run stage, respectively, which can be determined according to the actual development software type and the corresponding software development design requirement data; Ak is A1 and A2, which are the standard values ​​of test problems and the standard values ​​of feedback problems corresponding to the software development test stage and the software development trial run stage, respectively, which can also be determined according to the actual development software type and the corresponding software development design requirement data; [] is a rounding function;

[0048] It should be noted that the first problem impact is used to perform data calculation from the total number of problems to digitally represent the impact status of stage problems corresponding to different stages of software development;

[0049] And, according to the first development problem processing set and the second development problem processing set, all test problem positions and test problem types, all feedback problem positions and feedback problem types appearing in the corresponding stages are counted respectively;

[0050] All test question positions and feedback question positions are digitized to obtain first position weights WQi and second position weights WQj corresponding to different test question positions and feedback question positions; i and j are different test question positions and feedback question positions, i = {1, 2, 3, ..., n}; n is a positive integer; j = {1, 2, 3, ..., m}; m is a positive integer;

[0051] And, all test question types and feedback question types are digitally processed to obtain first type weights LQi and second type weights LQj corresponding to different test question types and feedback question types;

[0052] It should be noted that, when performing digital processing, all test question positions and feedback question positions are input into the question position database for traversal retrieval to obtain the corresponding position weights, and all test question types and feedback question types are input into the question type database for traversal retrieval to obtain the corresponding type weights;

[0053] In addition, the problem location database and the problem type database are respectively pre-set with a number of different sample problem locations and their corresponding sample location weights, and a number of different sample problem types and their corresponding sample type weights; different sample problem locations and their corresponding sample location weights, different sample problem types and their corresponding sample type weights can be determined based on historical development problem data of the same software development type, and at the same time, professional technicians in this field can improve data in different databases based on their work experience;

[0054] The sample position weight and sample type weight are used to digitally represent the impact of the problem corresponding to the sample problem position and sample problem type. The specific values ​​of different sample position weights and sample type weights can be determined based on the total number of corresponding historical occurrences, or can be determined by professional and technical personnel in this field through discussion;

[0055] And respectively through the second influence formula and Calculate and obtain the impact of the second problem corresponding to different stages; where WE1 and WE2 are the impact of the second problem corresponding to the software development test stage and the software development trial operation stage respectively; α and β are different weight coefficients respectively, and α≥1, β≥1, and the specific values ​​are not limited and can be customized according to the actual application scenario; B1 and B2 are the standard values ​​of the test problem weight and the standard values ​​of the feedback problem weight corresponding to the software development test stage and the software development trial operation stage respectively, which can be determined according to the actual development software type and the corresponding software development design requirement data;

[0056] It should be noted that the second problem impact is used to calculate the weight data of different aspects of the problem to digitally represent the stage problem impact status corresponding to different stages of software development;

[0057] The first problem impact and the second problem impact calculated and obtained in the software development test phase and the software development trial operation phase are sorted and combined respectively to obtain a test phase impact processing sequence and a trial operation phase impact processing sequence;

[0058] In the embodiment of the present invention, different calculation schemes are used to calculate and combine the data of the stage problem impact states corresponding to different stages of software development, so as to obtain the test stage impact processing sequence and the trial operation stage impact processing sequence of the corresponding stages, which can not only realize the digital representation of the stage problem impact states in different stages in different ways, but also provide reliable stage processing data support for the problem impact analysis of the subsequent software development stage dimension;

[0059] When implementing the problem impact analysis of the software development stage dimension, the impact processing sequence of the test stage and the impact processing sequence of the trial operation stage are traversed and analyzed respectively. If the values ​​in the traversal results are all 0, the normal label of the stage impact is generated and prompted;

[0060] If the value in the traversal result is not 0, the generation phase affects the abnormal label and marks the corresponding phase as an abnormal development phase. At the same time, the generation phase service optimization decision prompt is generated for the abnormal development phase.

[0061] It should be noted that the abnormal development phase includes the abnormal software development test phase and the abnormal software development trial operation phase;

[0062] Among them, the service optimization decision corresponding to the abnormal software development and testing stage includes the development optimization management of different developers in the development team; the stage service optimization decision corresponding to the abnormal software development trial operation stage includes the development optimization management of different developers in the development team and the test optimization management of testers;

[0063] When implementing the impact analysis of the overall dimension of software development, the third impact formula is used Calculate and obtain the third problem impact corresponding to all stages; where WS is the third problem impact corresponding to all stages; B3 is the overall problem weight standard value corresponding to the overall software development stage, which can be determined according to the actual development software type and the corresponding software development design requirement data;

[0064] It should be noted that the third problem impact is used to integrate and calculate the problem data of the overall dimension of software development to digitally represent the overall problem impact status corresponding to all stages of software development;

[0065] Perform data analysis on the impact of the third problem. If the impact of the third problem is 0, generate a normal overall impact label and prompt;

[0066] If the impact of the third problem is not 0, an overall impact anomaly label is generated and an overall service optimization decision prompt is generated;

[0067] Among them, the overall service optimization decision includes the development optimization management of different developers in the development team and the testing optimization management of testers.

[0068] In an embodiment of the present invention, by performing problem impact analysis of different dimensions on the first development problem processing set and the second development problem processing set obtained by monitoring at different stages of software development, and adaptively generating corresponding service optimization decision prompts based on the problem impact analysis results of different dimensions, diverse problem impact analysis and data decision prompts at different stages of software development and overall dimensions are achieved, thereby improving the abnormal autonomous supervision analysis effect of different aspects of software development services and the different abnormal analysis decision effects.

[0069] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0070] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0071] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0072] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0073] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A software development service data analysis and decision-making system, characterized in that: include: The software development problem monitoring and statistical processing module is used to monitor, count and process all problems found during the software development and testing phase and all problems that occurred during the software development and trial operation phase, and obtain the first development problem processing set and the second development problem processing set of the corresponding phase; The software development problem data processing and analysis module is used to perform problem impact analysis of different dimensions on the first development problem processing set and the second development problem processing set obtained by monitoring at different stages of software development, and to adaptively generate corresponding service optimization decision prompts based on the problem impact analysis results of different dimensions; include: Wherein, the first problem impact and the second problem impact corresponding to the software development test phase and the software development trial operation phase are respectively obtained according to the first development problem processing set and the second development problem processing set; The first problem impact and the second problem impact calculated and obtained in the software development test phase and the software development trial operation phase are sorted and combined respectively to obtain a test phase impact processing sequence and a trial operation phase impact processing sequence; Implement the impact analysis of the problems in the software development phase dimension according to the impact processing sequence in the test phase and the impact processing sequence in the trial operation phase, and generate phase service optimization decision prompts for the abnormal development phase obtained by the analysis; In addition, we implement problem impact analysis in the overall dimension of software development, and generate service optimization decision prompts based on the overall impact anomaly labels obtained from the analysis.

2. A software development service data analysis and decision-making system according to claim 1, characterized in that: When monitoring and counting all problems found during the software development and testing phase, obtain the test problem performance, test problem location, test problem type and test problem developer found by the tester; Obtain the timestamp corresponding to the discovery of the test problem and set it as the test problem number, sort and combine the test problem number, test problem performance, test problem location, test problem type and test problem developer to obtain the individual test problem supervision sequence; The individual test problem supervision sequences discovered and processed are sorted and combined in chronological order of discovery to obtain a first development problem processing set.

3. A software development service data analysis and decision-making system according to claim 2, characterized in that: When monitoring and counting all problems found during the trial operation phase of software development, obtain the feedback problem performance, feedback problem location, feedback problem type, feedback problem developer and feedback problem tester from the trial operation personnel; Obtain the timestamp corresponding to the occurrence of the feedback problem and set it as the feedback problem number, sort and combine the feedback problem number, feedback problem performance, feedback problem location, feedback problem type, feedback problem developer and feedback problem tester to obtain the individual feedback problem supervision sequence; The individual feedback problem supervision sequences of the feedback processing are sorted and combined according to the chronological order of the feedback to obtain the second development problem processing set.

4. A software development service data analysis and decision-making system according to claim 3, characterized in that: According to the first development problem processing set and the second development problem processing set, the total number of test problems N1 and the total number of feedback problems N2 in the corresponding stages are counted respectively, and the first impact formula is used Calculate and obtain the impact of the first problem corresponding to different stages; where k=1, 2; WYk is WY1 and WY2, which are the impact of the first problem corresponding to the software development and testing stage and the software development and trial operation stage respectively; Nk is N1 and N2; N′k is N′1 and N′2, which are the total number of test problem standards and the total number of feedback problem standards corresponding to the software development and testing stage and the software development and trial operation stage respectively; Ak is A1 and A2, which are the standard values ​​of test problems and the standard values ​​of feedback problems corresponding to the software development and testing stage and the software development and trial operation stage respectively; [] is the rounding function.

5. A software development service data analysis and decision-making system according to claim 4, characterized in that: According to the first development problem processing set and the second development problem processing set, all test problem positions and test problem types, all feedback problem positions and feedback problem types appearing in the corresponding stages are counted respectively; Digitally process all test problem positions and feedback problem positions to obtain first position weights WQi and second position weights WQj corresponding to different test problem positions and feedback problem positions; i and j are different test question positions and feedback question positions respectively, i = {1, 2, 3, ..., n}; n is a positive integer; j = {1, 2, 3, ..., m}; m is a positive integer; And, all test question types and feedback question types are digitally processed to obtain first type weights LQi and second type weights LQj corresponding to different test question types and feedback question types; And respectively through the second influence formula and Calculate and obtain the impact of the second problem corresponding to different stages; where WE1 and WE2 are the impact of the second problem corresponding to the software development and testing stage and the software development and trial operation stage respectively; α and β are different weight coefficients, and α≥1, β≥1; B1 and B2 are the standard values ​​of the test problem weight and the standard values ​​of the feedback problem weight corresponding to the software development and testing stage and the software development and trial operation stage respectively.

6. A software development service data analysis and decision-making system according to claim 5, characterized in that: When implementing the problem impact analysis of the software development stage dimension, the impact processing sequence of the test stage and the impact processing sequence of the trial operation stage are traversed and analyzed respectively. If the values ​​in the traversal results are all 0, the normal label of the stage impact is generated and prompted; If there is a value in the traversal result that is not 0, the generation stage affects the abnormal label and marks the corresponding stage as an abnormal development stage. At the same time, a stage service optimization decision prompt is generated for the abnormal development stage.

7. A software development service data analysis and decision-making system according to claim 6, characterized in that: When implementing the impact analysis of the overall dimension of software development, the third impact formula is used Calculate and obtain the impact of the third problem corresponding to all stages; where WS is the impact of the third problem corresponding to all stages; B3 is the standard value of the overall problem weight corresponding to the overall software development stage.

8. A software development service data analysis and decision-making system according to claim 7, characterized in that: Perform data analysis on the impact of the third problem. If the impact of the third problem is 0, generate a normal overall impact label and prompt; If the impact of the third problem is not 0, an overall impact exception label is generated and an overall service optimization decision prompt is generated.

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