System and method for quantitative management of software defects

Abstract

The invention discloses a system for quantitative management of software defects, which comprises a defect prediction and evaluation module, a process fault diagnosis module and a software defect mending cost estimating module. The defect prediction and evaluation module is used for evaluating and predicting the amount of software defects. The process fault diagnosis module is used for simulating the propagation process of software process faults, expressing fuzzy fault knowledge and providing a target-drive-oriented backward reasoning mechanism and software product fault diagnosis. The software defect mending cost estimating module is used for researching a defect mending cost predicting method so as to calculate mending cost and accurately estimate the defect mending cost. By the system, intelligent evaluation on software defects is realized, efficiency and accuracy in software process fault diagnosis are improved, software process is more controllable, and development process is more highly mature.

Description

technical field [0001] The invention relates to the field of software quality management in software engineering, in particular to a quantitative management of software defects and an implementation method thereof. Background technique [0002] With the development of information technology, the computer industry has become one of the core pillar industries of modern society. The software running in the computer is an important factor related to the performance of the computer system. The more complex the software, the defects in the software will seriously reduce the operating efficiency of the software. Therefore, ensuring software quality is the core issue that the software engineering industry should pay attention to in the software life cycle. Among them, the quantitative evaluation and management of software defects is an important prerequisite for ensuring software quality. . [0003] In the aerospace industry, software defects are an important indicator of software ...

AI Technical Summary

Problems solved by technology

[0006] (2) The current defect assessment method is limited by the data used and the specific circumstances of the project

[0007] (3) Model-based defect assessment technology only takes into account the impact of several aspects such as products, projects, personnel, and platforms on defect assessment. Whether these model frameworks are complete and whether the factors considered are sufficient remains to be further studied

[0008] (4) Although the fuzzy comprehensive evaluation method can effectively overcome the influence of human unfavorable factors in expert evaluation, it is not suitable for use when the expert evaluation data is small, and the calculation difficulty increases significantly with the increase of evaluation data

[0017] To sum up, there is currently no method in the art that can perform quantitative analysis and management of software defects

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