Using K-core Decomposition on Class Dependency Networks to Improve Bug Prediction Model's Practical Performance

In recent years, Complex Network theory and graph algorithms have been proved to be effective in predicting software bugs. On the other hand, as a widely-used algorithm in Complex Network theory, k-core decomposition has been used in software engineering domain to identify key classes. Intuitively,...

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Veröffentlicht in:	IEEE transactions on software engineering 2021-02, Vol.47 (2), p.348-366
Hauptverfasser:	Qu, Yu, Zheng, Qinghua, Chi, Jianlei, Jin, Yangxu, He, Ancheng, Cui, Di, Zhang, Hengshan, Liu, Ting
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bug prediction class dependency network complex network Complex networks Computer bugs Debugging Decomposition Dependence effort-aware bug prediction Empirical analysis Mathematical model Performance prediction Prediction algorithms Prediction models Predictive models Software Software algorithms software defects Software engineering Source code
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