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 …

Test case prioritization techniques, which are used to improve the cost-effectiveness of
regression testing, order test cases in such a way that those cases that are expected to …

Background--Self-evidently empirical analyses rely upon the quality of their data. Likewise,
replications rely upon accurate reporting and using the same rather than similar versions of …

We perform an empirical study to better understand two well-known vulnerability rewards
programs, or VRPs, which software vendors use to encourage community participation in …

Defect prediction approaches use software metrics and fault data to learn which software
properties associate with faults in classes. Existing techniques predict fault-prone classes in …

A component-based software system (CBSS) is a software system that is developed by
integrating components that have been deployed independently. In the last few years, many …

Context Although many papers have been published on software defect prediction
techniques, machine learning approaches have yet to be fully explored. Objective In this …

The objective of this paper is statistical comparison of modelling methods for software
maintainability prediction. The statistical comparison is performed by building software …

Open Source Software (OSS) is continuously gaining acceptance in commercial
organizations. It is in this regard that those organizations strive for a better understanding of …

Mandelbugs are faults that are triggered by complex conditions, such as interaction with
hardware and other software, and timing or ordering of events. These faults are considerably …