Failure prediction method for software development

Abstract

The invention provides a failure prediction method for software development. The failure prediction method comprises the steps that a source code dependence network and a developer social network are set up, and the dependence relationship between source code files and the communication and cooperation relationship between developers are recorded respectively; the source code dependence network and the developer social network are compared, and the difference between the source code dependence network and the developer social network is used as an indication of lack of communication. By the adoption of the failure prediction method for software development, the number of lacked developer communication links associated with each source code file can be detected and used as the indication of inconsistency of file networks, and the developer communication links lacked by the files can be provided; meanwhile, the reason of each lacked link can also be provided; namely, two corresponding source files depend on each other, however the developers of the two source files do not communicate and cooperate with each other. The developers can organize corresponding communication for making up according to the guide of the method, and failures are found and repaired in a targeted mode.

Description

technical field [0001] The invention belongs to the field of computer technology, relates to the field of software engineering in IT technology, is used for improving the lack of links in the internal communication network of a software development team, and is a defect prediction method for software development. Background technique [0002] Software development is an intellectual activity that relies heavily on the manual work of developers, and the communication and collaboration among developers has a great impact on software quality. Many serious software quality problems are rooted in the lack of adequate communication and communication, resulting in high software costs. [0003] Defect prediction is an area that many researchers in academia have paid attention to in recent years. The purpose is to predict in advance which modules or files in the project code are most likely to have defects, so as to allocate resources in advance and adopt static review and dynamic tes...

AI Technical Summary

Problems solved by technology

Because the current defect prediction technology based on machine learning algorithms and statistical analysis models cannot give effective guidance, and cannot tell developers what problems and solutions there are in the code

[0005] In the existing defect prediction field, the current technology only considers the representation, not the root cause of the defect, so the predicted results are difficult to effectively help developers

Images