Simulator for intelligent software testing technique employing the most effective resource allocation algorithm for simultaneous optimization of software quality and release schedule

Abstract

An idea or a concept can be classified as transformational, operational or tactical. In the recent past, there have been more rational developments in software testing techniques outsmarting the ones prevailing earlier which weighed more in favor of empirical rather than logical aspects of software testing. This paper presents one of a kind of developments in software testing methodologies that were motivated by Operations Research modeling and describes in considerable detail the applicability of one of these models with regard to (w.r.t.) the application of available resources for optimizing the software quality metrics while adhering to the release schedule as well. The paper introduces a new and pioneering concept what we call Intelligent Software Testing (IST) technique which is not only transformational but operational and tactical as well. It examines areas and opportunities and utilizes them to make informed decisions w.r.t. the allocation of tasks where systems involving software testing can be improved, from design to delivery. The IST proposed herein undertakes two-way optimization w.r.t. competence and efficiency. It not only promises but delivers highest standard of software quality level by maximizing team competence and commitment to keep a date with the release schedule by minimizing activity time, both being crucial to software testing phenomenon.