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

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018
編集者Roberto Natella, Sudipto Ghosh, Nuno Laranjeiro, Robin Poston, Bojan Cukic
出版社Institute of Electrical and Electronics Engineers Inc.
ページ89-94
ページ数6
ISBN(電子版)9781538694435
DOI
出版ステータスPublished - 2018 11 16
イベント29th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2018 - Memphis, United States
継続期間: 2018 10 152018 10 18

Other

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

ASJC Scopus subject areas

  • ソフトウェア
  • 安全性、リスク、信頼性、品質管理

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