Industrial Case Study on Time Series Analysis of Metrics Changes Based on GQM Models

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

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

It is difficult for companies to evaluate whether their activities have achieved the intended goals or to improve their goals in quantifiable ways. Herein we propose a method to evaluate quantitatively the results of a company's activities related to goals based on the GQM (Goal Question Metrics) method. Our proposed method uses successive statistical analysis and periodic statistical analysis. The former evaluates two groups of projects based on project release date, and the latter evaluates projects separated by six-month intervals. An empirical case study for a cloud service, which supports real estate businesses with e-Seikatsu, is used to evaluate our method. The target data contain project quality evaluation results for three years. We evaluated 73 project quality evaluation results using the proposed method. Successive statistical analysis reveals four of the five metrics have statistical significance of mean differences between groups, whereas periodic statistical analysis indicates three of the five metrics are statistically significant.

本文言語English
ホスト出版物のタイトルProceedings - 2019 10th International Workshop on Empirical Software Engineering in Practice, IWESEP 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ13-18
ページ数6
ISBN(電子版)9781728155906
DOI
出版ステータスPublished - 2019 12月
イベント10th International Workshop on Empirical Software Engineering in Practice, IWESEP 2019 - Tokyo, Japan
継続期間: 2019 12月 132019 12月 14

出版物シリーズ

名前Proceedings - 2019 10th International Workshop on Empirical Software Engineering in Practice, IWESEP 2019

Conference

Conference10th International Workshop on Empirical Software Engineering in Practice, IWESEP 2019
国/地域Japan
CityTokyo
Period19/12/1319/12/14

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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