Component-Based Software System Test Case Prioritization with Genetic Algorithm Decoding Technique Using Java Platform

摘要

Test case prioritization includes testing experiments in a request that builds the viability in accomplishing some execution objectives. The importance amongst the most imperative testing objectives is the fast rate of fault recognition. Test case ought to run in a request that extends the likelihood of fault discovery furthermore that detects the most serious issues at the early stage of testing life cycle. In this paper, we develop and prove the necessity of Component-Based Software testing prioritization framework which plans to uncover more extreme bugs at an early stage and to enhance software product deliverable quality utilizing Genetic Algorithm (GA) with java decoding technique. For this, we propose a set of prioritization keys to plan the proposed Component-Based Software java framework. In our proposed method, we allude to these keys as Prioritization Keys (PK). These keys may be project size, scope of the code, information stream, and bug inclination and impact of fault or bug on overall system, which prioritizes the Component-Based Software framework testing. The integrity of these keys was measured with implementation of key assessment metric called KAM that will likewise be ascertained. This paper demonstrates how software testing can be efficient with management of data integrity factor to avoid major security issues. One of the main advantages of our approach is that domain specific semantics can be integrated with the data quality test cases prioritization, thus being able to discover test feed data quality problems beyond conventional quality measures.