Empirical study on recognition of project situations by monitoring application results of software reliability growth model

Kiyoshi Honda, Hironori Washizaki, Yoshiaki Fukazawa, Masahiro Taga, Akira Matsuzaki, Takayoshi Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Monitoring the results of software reliability growth models (SRGMs) helps evaluate project's situations. SRGMs are used to measure the reliability of software by analyzing the relations between the number of detected bugs and the detected time to predict the number of remaining bugs within the software. For example, development managers apply a SRGM to the number of detected bugs and the detected time to predict the number of remaining bugs. Sometimes the SRGM results cause managers to make incorrect decisions because the results are temporary snapshots that change as a development progresses. We propose a method to help evaluate a project's qualities by monitoring the results of SRGM applications. We collected the number of detected bugs and the detected time in the test phases for cloud services provided by e-Seikatsu Co., Ltd. to real estate businesses. The datasets contain about 34 cloud service features. The evaluation found that our method provides correct answers for 29 features and incorrect answers for 5 features.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-174
Number of pages6
ISBN (Electronic)9781538623879
DOIs
Publication statusPublished - 2017 Nov 14
Event28th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2017 - Toulouse, France
Duration: 2017 Oct 232017 Oct 26

Other

Other28th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2017
CountryFrance
CityToulouse
Period17/10/2317/10/26

Keywords

  • Fault Analysis
  • Project Monitoring
  • Software Reliability Growth Model

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Honda, K., Washizaki, H., Fukazawa, Y., Taga, M., Matsuzaki, A., & Suzuki, T. (2017). Empirical study on recognition of project situations by monitoring application results of software reliability growth model. In Proceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017 (pp. 169-174). [8109280] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSREW.2017.53