Improved effective Methodology for testcase prioritization in regression testing using distanced based Transportation

Abstract

In recent days, Software Testing is more important in newlinesoftware lifecycle development. This software testing is utilized to newlineidentify the errors and faults in its functionality and enhanced the newlineperformance of the software. Test prioritization is an advancement of newlinesoftware testing which is established to confirm the precedence of the newlinetest cases. This method is utilized to test privileges of higher priority to newlinemitigate time, efforts and costs during the software testing phase. newlineSoftware testing is a significant phase to activate some of the significant newlinepart of developing and handling software. The re-validation of these newlineoperations is known as regression. newlineThe sequential order of test case in the test suite to maximize newlinethe efficiency of the testing process is known as the prioritization of test newlinecase. The prioritization process will be used to sort test cases in newlinesequential order. It increases the rate of fault detection. The newlinemeasurement of fault detection rate increases the running system newlineperformances and it improves efficient software testing. There are newlinedifferent techniques implemented in the test case prioritization process, newlinehowever it has some drawbacks and consequences due to its coding newlineerror. This research work focuses on the development of an automatic newlinecomputational methodology system, for the purpose of analyzing test newlinevii newlinecase selection and prioritization with its application to implement the newlinesoftware process to prevent the failure. newlineIn the first contribution, describes the proposed methodology newlineis implemented with multi-objective based test-case-selection and newlineprioritization in distributed cloud environment. The proposed newlinemethodology implemented with hybrid method of the Resemblance- newlineBased Cluster Head (RBCH) and Distance-Based Transposition (DBT) newlinealgorithm for cluster head selection to improve the Fault Detection Rate newline(FDR) during regression test execution. The important parameters such newlineas, average percentage of faults detected, similarity rate, and newlineprioritization accuracy are analyzed and compared to various existi