Empirical Study on Tendencies for Unstable Situations in 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

1 Citation (Scopus)

Abstract

Monitoring the results of software reliability growth models (SRGMs) helps evaluate a project's situation. SRGMs are used to measure the reliability of software by analyzing the relations between the number of detected bugs and the detection time to predict the number of remaining bugs within the software. Sometimes the SRGM results lead managers to make incorrect decisions because the results are temporary snapshots that change over time. In our previous study, we proposed 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 detection time in the test phases for cloud services provided by e-Seikatsu to real estate businesses. The datasets contain 34 cloud service features. Our method provides correct answers for 29 features and incorrect answers for 5 features. In this paper, we classify the monitoring results of unstable features based on the tendencies of the results into four types to aid developers and managers to make appropriate decisions about the development status.

Original languageEnglish
Title of host publicationProceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018
EditorsRoberto Natella, Sudipto Ghosh, Nuno Laranjeiro, Robin Poston, Bojan Cukic
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages89-94
Number of pages6
ISBN (Electronic)9781538694435
DOIs
Publication statusPublished - 2018 Nov 16
Event29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018 - Memphis, United States
Duration: 2018 Oct 152018 Oct 18

Other

Other29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018
CountryUnited States
CityMemphis
Period18/10/1518/10/18

Keywords

  • Fault Analysis
  • Project Monitoring
  • Software Reliability Growth Model

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

Fingerprint Dive into the research topics of 'Empirical Study on Tendencies for Unstable Situations in Application Results of Software Reliability Growth Model'. Together they form a unique fingerprint.

  • Cite this

    Honda, K., Washizaki, H., Fukazawa, Y., Taga, M., Matsuzaki, A., & Suzuki, T. (2018). Empirical Study on Tendencies for Unstable Situations in Application Results of Software Reliability Growth Model. In R. Natella, S. Ghosh, N. Laranjeiro, R. Poston, & B. Cukic (Eds.), Proceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018 (pp. 89-94). [8539169] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSREW.2018.00-25