Deriving a usage-independent software quality metric

• Published in: Empirical software engineering : an international journal Vol. 25; no. 2; pp. 1596 - 1641
• Main Authors: Dey, Tapajit, Mockus, Audris
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2020; Springer Nature B.V
• Subjects: Applications programs; Bayesian analysis; Compilers; Complexity; Computer Science; Crashes; Decision trees; Faults; Interpreters; Mobile computing; Packages; Predictive Models and Data Analytics in Software Engineering (PROMISE); Programming Languages; Software; Software Engineering/Programming and Operating Systems; Software quality; Bayesian networks; NPM packages; Software faults; Software quality; Software usage

Context The extent of post-release use of software affects the number of faults, thus biasing quality metrics and adversely affecting associated decisions. The proprietary nature of usage data limited deeper exploration of this subject in the past. Objective To determine how software faults and soft...