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A Multi-objective Bat Algorithm for Software Defect Prediction

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Book cover Bio-inspired Computing: Theories and Applications (BIC-TA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1159))

Abstract

Both the class imbalance of datasets and parameter selection of support vector machine (SVM) play an important role in the process of software defect prediction. To solve these two problems synchronously, the false positive rate (pf) and the probability of detection (pd) are considered as two objective functions to construct the multi-objective software defect prediction model in this paper. Meanwhile, a multi-objective bat algorithm (MOBA) is designed to solve this model. The individual update strategy in the population is performed using the individual update method in the fast triangle flip bat algorithm, and the non-dominated solution set is used to save the better individuals of the non-defective module and the support vector machine parameters. The simulation results show that MOBA can effectively save resource consumption and improve the quality of software compared with other commonly used algorithms.

National Natural Science Foundation of China under Grant No. 61806138, No. U1636220 and No. 61663028, Natural Science Foundation of Shanxi Province under Grant No. 201801D121127, PhD Research Startup Foundation of Taiyuan University of Science and Technology under Grant No. 20182002.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China under Grant No. 61806138, Natural Science Foundation of Shanxi Province under Grant No. 201801D121127, Taiyuan University of Science and Technology Scientific Research Initial Funding under Grant No. 20182002. Postgraduate education Innovation project of Shanxi Province under Grant No. 2019SY495.

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Authors and Affiliations

  1. Complex System and Computational Intelligent Laboratory, Taiyuan University of Science and Technology, Taiyuan, 030024, China

    Di Wu, Jiangjiang Zhang, Shaojin Geng, Xingjuan Cai & Guoyou Zhang

Authors
  1. Di Wu
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  2. Jiangjiang Zhang
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  3. Shaojin Geng
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  4. Xingjuan Cai
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  5. Guoyou Zhang
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Corresponding author

Correspondence to Xingjuan Cai .

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Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  2. Zhengzhou University, Zhengzhou, China

    Jing Liang

  3. Zhongyuan University of Technology, Zhengzhou, China

    Boyang Qu

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Wu, D., Zhang, J., Geng, S., Cai, X., Zhang, G. (2020). A Multi-objective Bat Algorithm for Software Defect Prediction. In: Pan, L., Liang, J., Qu, B. (eds) Bio-inspired Computing: Theories and Applications. BIC-TA 2019. Communications in Computer and Information Science, vol 1159. Springer, Singapore. https://doi.org/10.1007/978-981-15-3425-6_22

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  • DOI: https://doi.org/10.1007/978-981-15-3425-6_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3424-9

  • Online ISBN: 978-981-15-3425-6

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