Software products released into the field typically have some number of residual defects that either were not detected or could not have been detected during testing. This may be...
Christian Murphy, Gail E. Kaiser, Ian Vo, Matt Chu
In this paper, we present a prototype tool that supports the systematic development of software architectures driven by quality requirements using architectural tactics. The tool ...
This report details part of the results of five software audits that were done to evaluate various aspects of the quality in five very big software projects. One result of our work...
Eleven open source software projects written in C/C++ were analyzed to determine if the number of committing developers impacts code quality. We use cyclomatic complexity, lines o...
Brandon Norick, Justin Krohn, Eben Howard, Ben Wel...
Software quality prediction can be cast as a concept learning problem. In this paper, we discuss the full cycle of an application of Machine Learning to software quality predictio...