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We focus on the deep multitask learning for open source software reliability assessment. Various open source software are used for many social systems. In particular, the deep multitask learning will be able to obtain several new knowledge by using the large scale data. Then, this chapter proposes the deep multitask learning by using the fault big data. Moreover, we discuss the applicability of multi-objective optimization by using several numerical illustrations based on the proposed method in this chapter.

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Comparison of OSS Reliability Assessment Methods Based on Deep Learning Considering the Multi-objective Optimization

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  • 发表日期：

    2026年

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  • Yoshinobu Tamura,
  • Shigeru Yamada

摘要

We focus on the deep multitask learning for open source software reliability assessment. Various open source software are used for many social systems. In particular, the deep multitask learning will be able to obtain several new knowledge by using the large scale data. Then, this chapter proposes the deep multitask learning by using the fault big data. Moreover, we discuss the applicability of multi-objective optimization by using several numerical illustrations based on the proposed method in this chapter.