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Deep Learning Approach for OSS Reliability Assessment Considering Wiener Process

In: Applied OSS Reliability Assessment Modeling, AI and Tools

Author

Listed:
  • Yoshinobu Tamura

    (Yamaguchi University)

  • Shigeru Yamada

    (Tottori University)

Abstract

The OSS have been developed under the initiative of many corporate organizations. Also, many OSS’s have been maintained by many corporate organizations. Especially, many OSS have been developed by using the bug tracking systems. The specified bug tracking systems have been used by several OSS projects. Also, the fault big data sets recorded on the bug tracking system will be very useful to assess the reliability of OSS, because the cumulative number of detected software faults is only used in order to assess the typical software reliability in the past. On the other hand, we can use various fault big data sets obtained from the bug tracking system in case of OSS system.

Suggested Citation

  • Yoshinobu Tamura & Shigeru Yamada, 2024. "Deep Learning Approach for OSS Reliability Assessment Considering Wiener Process," Springer Series in Reliability Engineering, in: Applied OSS Reliability Assessment Modeling, AI and Tools, chapter 0, pages 151-163, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-031-64803-8_9
    DOI: 10.1007/978-3-031-64803-8_9
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