Abstract
Software testing plays a pivotal role in entire software development lifecycle. It provides researchers with extensive opportunities to develop novel methods for the optimized and cost-effective test suite Although implementation of such a cost-effective test suite with regression testing is being under exploration still it contains lot of challenges and flaws while incorporating with any of the new regression testing algorithm due to irrelevant test cases in the test suite which are not required. These kinds of irrelevant test cases might create certain challenges such as code-coverage in the test suite, fault-tolerance, defects due to uncovered-statements and overall-performance at the time of execution. With this objective, the proposed a new Modified Particle Swarm optimization used for multi-objective test suite optimization. The experiment results involving six subject programs show that MOMPSO method can outer perform with respect to both reduction rate (90.78% to 100%) and failure detection rate (44.56% to 55.01%). Results proved MOMPSO outperformed the other stated algorithms.
Highlights
Software testing in Software Industry must be conducted thoroughly and should be kept continuous.Some challenges do arise due to the frequency with which software testing is performed in conjunction to software development
To prove the performance of proposed approach for other than reduction problem, The MOMPSO algorithm tested against 9 standard commercial projects from different open source library, ten instance, 100 number of features has been considered for performance analysis
For other algorithm such as ACO, GWO, SI (Swarm Intelligence), Tabu Search and simulated annealing are identical to their own parameter used s.For evolution metrics, information is portioned into three equivalent parts of data
Summary
Software testing in Software Industry must be conducted thoroughly and should be kept continuous. Some challenges do arise due to the frequency with which software testing is performed in conjunction to software development. With every development it is must to perform one round of testing including sanity testing but sometimes this pattern does not get followed due to some reason like either the resource availability is not spontaneous or often executing all the test cases is quite time-consuming process [1–4]. It is being devised that some test case reduction applications can be explored for enhancement of the overall process of software testing.
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