Research on software defect prediction method based on machine learning oriented to large-scale complex information system

Zhong Guo; Yadong Sun; Bin Fu; Xue Cheng

doi:10.1117/12.2627233

14 February 2022 Research on software defect prediction method based on machine learning oriented to large-scale complex information system

Zhong Guo, Yadong Sun, Bin Fu, Xue Cheng

Author Affiliations +

Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 1216103 (2022) https://doi.org/10.1117/12.2627233
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China

Abstract

Large-scale complex information system software is large in scale and high in complexity. Conventional testing methods will consume huge manpower and material resources. However, there are some similarities among system software defect generation, failure mode triggering, and characterization phenomena. In this paper, a general method and process of software defect prediction is proposed by using machine learning method, which can shorten the test cycle and save a lot of test resources when applied to practical projects.

Citation Download Citation

Zhong Guo, Yadong Sun, Bin Fu, and Xue Cheng "Research on software defect prediction method based on machine learning oriented to large-scale complex information system", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 1216103 (14 February 2022); https://doi.org/10.1117/12.2627233

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