Overview
The Services Quality Analysis & Learning Engine project aims to develop methods and a framework for holistic and quantitative project quality assessment through the analysis of various artifacts created in services-software projects. The conventional approach to artifact analysis, especially for those in an early phase of a project, primarily relies on manual reviews by human inspectors. We are extracting insights and heuristics from experienced inspectors as usable knowledge, and formalizing the automatable parts so that we can provide new tools for various type of artifacts analysis.
Fig. 1 - Quality Diagnosis & Prevention Framework