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Browsing by Author "Morisaki, Shuji"

Browsing by Author "Morisaki, Shuji"

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  • Monden, Akito; Keung, Jacky; Morisaki, Shuji; Kamei, Yasutaka; Matsumoto, Ken-Ichi (IEEE, 2012)
    Background: Association rules are more comprehensive and understandable than fault-prone module predictors (such as logistic regression model, random forest and support vector machine). One of the challenges is that there ...
  • Morisaki, Shuji; Kamei, Yasutaka; Matsumoto, Kenichi (日本ソフトウェア科学会, 2011-08-26)
    This paper describes an investigation on the impact of selecting a specific defect type in software inspection. We conducted a controlled experiment concerning the effect of selecting a defect type on software inspection. ...
  • Matsumura, Tomoko; Morisaki, Shuji; Monden, Akito; Matsumoto, Ken-Ichi (Taylor & Francis, 2008-09-01)
    This paper describes an empirical study to reveal factors influencing defect correction effort in software development. In the study we collected various attributes (metrics) of defects found in a typical medium-scale, ...
  • Morisaki, Shuji; Monden, Akito; Matsumura, Tomoko; Tamada, Haruaki; Matsumoto, Ken-ichi (IEEE, 2007)
    This paper describes an empirical study to reveal rules associated with defect correction effort. We defined defect correction effort as a quantitative (ratio scale) variable, and extended conventional (nominal scale based) ...
  • Morisaki, Shuji; Monden, Akito; Tamada, Haruaki; Matsumura, Tomoko; Matsumoto, Ken-ichi (Nara Institute of Science and Technology奈良先端科学技術大学院大学, 2006-11)
    This paper proposes a method to mine rules from software engineering data repositories that contain a number of quantitative attributes such as staff months and SLOC. The proposed method extends conventional association ...