A Neoteric Approach of Prioritizing Regression Test Suites Using Hybrid ESDG Models

Abstract

Testing of software is performed during development phase of software development life cycle for detection of bugs or errors in earlier phases and to make sure that modifications made in software change the main specifications of the system. Regression testing in software testing is a keyholder. It is part of software testing which is done in order to make sure that changes or modification don’t make any changes with the existing behavior of software. It makes sure that when bugs are fixed or a new functionality is added, it shouldn’t affect the original functionality of the software. It plays a crucial role in software development and maintenance. A priority timestamp has been assigned to the suite for enhanced execution. It is used to order the sequence of test cases in a manner that detection of faults at earlier phases is maximized. Extended System Dependence Graphs (ESDG) model with genetic algorithm technique is a proposed method for prioritizing test cases in the area of object-oriented software based on fault detection rate and its impact. APFD metric, used to measure efficacy of test cases, need to optimized in this context. This paper proposes a technique using ESDG model and Genetic Algorithm for regression suite prioritization for object-oriented software and APFD metric measures effectiveness of new test cases. We made an attempt to mine test cases from original test repository, that might be utilized for modified program testing and prioritizing elected regression test cases which increase fault detection rate at earlier stages.