Study on Software Defect Prediction Model Based on Improved BP Algorithm

Software defect is an important indicator to evaluate software product quality. To reduce the defects of software products and to improve the quality of software is always the goal of software development. This paper combines the simulated annealing (SA) algorithm and JCUDA technology to improve the...

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Bibliographic Details
Published in2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS) pp. 389 - 392
Main Authors Tang, Cundong, Chen, Li, Wang, Zhiping, Sima, Yuzhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.12.2020
Subjects
BP algorithm
JCUDA
Prediction algorithms
Predictive models
Quality assessment
Simulated annealing
Software
Software algorithms
Software defect
Telecommunications
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Summary:Software defect is an important indicator to evaluate software product quality. To reduce the defects of software products and to improve the quality of software is always the goal of software development. This paper combines the simulated annealing (SA) algorithm and JCUDA technology to improve the BP algorithm, to build an improved software defect prediction model with higher prediction accuracy. The experimental results show that the software defect prediction model based on improved BP algorithm is able to accurately predict the software defects, which is better than the traditional BP algorithm.
DOI:10.1109/TOCS50858.2020.9339718