Criticality Analyzer and Tester - An Effective Approach for Critical Components Identification and Verification

Abstract

Nowadays, software industries spend considerable amount of time and cost to satisfy users' needs in developing quality software. To ensure the proper functioning of software after delivery, the software developers need to identify and test the critical components in the software rigorously which will otherwise make serious impact on users' requirements. As this is an important and time-consuming process, this paper proposes a novel approach for Criticality Analysis based on Sensitivity and Severity metrics and Testing using the efficient test cases generated using Bee Colony Optimization (BCO) based intelligent search algorithm. The proposed approach is also compared with Genetic Algorithm (GA) based approach and proved its efficiency. Further, an automated tool is developed for the identification and testing of any given software under test (SUT).