Background: The accurate prediction of where faults are likely to occur in code can help
direct test effort, reduce costs, and improve the quality of software. Objective: We investigate …

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 …

Software defect information, including links between bugs and committed changes, plays an
important role in software maintenance such as measuring quality and predicting defects …

In this paper we present a comparative analysis of the predictive power of two different sets
of metrics for defect prediction. We choose one set of product related and one set of process …

We have mapped defects from the bug database of eclipse (one of the largest open-source
projects) to source code locations. The resulting data set lists the number of pre-and post …

We investigate the relationship between faults and five of Fowler et al.'s least-studied smells
in code: Data Clumps, Switch Statements, Speculative Generality, Message Chains, and …

The knowledge about the software metrics which serve as defect indicators is vital for the
efficient allocation of resources for quality assurance. It is the process metrics, although …

Large repositories of source code create new challenges and opportunities for statistical
machine learning. Here we first develop an infrastructure for the automated crawling …

Modern version control systems, eg, GitHub, include bug tracking mechanisms that
developers can use to highlight the presence of bugs. This is done by means of bug reports …

Empirical studies of software defects rely on links between bug databases and program
code repositories. This linkage is typically based on bug-fixes identified in developer …