CONTEXT: Software metrics may be used in fault prediction models to improve software
quality by predicting fault location. OBJECTIVE: This paper aims to identify software metrics …

Over the past decade, Open Source Software (OSS) has experienced rapid growth and
widespread adoption, attributed to its openness and editability. However, this expansion has …

Existing research is unclear on how to generate lessons learned for defect prediction and
effort estimation. Should we seek lessons that are global to multiple projects or just local to …

An understanding of quality attributes is relevant for the software organization to deliver high
software reliability. An empirical assessment of metrics to predict the quality attributes is …

Software analytics builds quality prediction models for software projects. Experience shows
that (a) the more projects studied, the more varied are the conclusions; and (b) project …

Data Science for Software Engineering: Sharing Data and Models presents guidance and
procedures for reusing data and models between projects to produce results that are useful …

Background. The extent of the potentially confounding effect of class size in the fault
prediction context is not clear, nor is the method to remove the potentially confounding effect …

Background: Software engineering is searching for general principles that apply across
contexts, for example, to help guide software quality assurance. Fenton and Ohlsson …

Traceability links can be recovered using data mined from a revision control system, such as
CVS, and an issue tracking system, such as Bugzilla. Existing approaches to recover links …

This paper empirically investigates the relationship of class design level object-oriented
metrics with fault proneness of object-oriented software system. The aim of this study is to …