A PROPOSED FRAMEWORK FOR TEST SUITE PRIORITIZATION AND REDUCTION USING THE CLUSTERING DATA MINING TECHNIQUE

KHALID ELDRANDALY; MAHMOUD ABD ELLATIF; NORA ZAKI

No Detail Found!

A PROPOSED FRAMEWORK FOR TEST SUITE PRIORITIZATION AND REDUCTION USING THE CLUSTERING DATA MINING TECHNIQUE

Author(s)

KHALID ELDRANDALY Faculty of Computers and Informatics, Zagazig University. Eygpt

MAHMOUD ABD ELLATIF College of Business, Jaddah University, SA & Faculty of Computers and Informatics, Helwan University

NORA ZAKI Faculty of Computers and Informatics, Zagazig University Eygpt

Abstract

Software testing is one of the most critical phases of the software development life cycle. The primary purpose of software testing is to check the produced program or application before delivering it to the target customer and to discover the hidden faults or errors that lead to system failure. The time and cost consumed by software testing are one of the most critical limitations of software testing. The most consumed time in software testing results from executing a large number of redundant and inefficient test cases. Therefore, the automatic generated test cases should be filtered before executing them. Test suit reduction TSR and test suite prioritization TSP are considered as a management method for test suites. They provide efficient management for test suites by reducing and prioritizing the number of test cases. The main goal of this research is to propose a framework for improving the software testing process by using the clustering-based test suite prioritization and reduction techniques. The main objective of the proposed framework is to generate an optimal set of test cases from the original set. The optimal set of test cases can be efficiently executed in less time and cost. A case study is conducted to estimate the performance of the proposed framework. The results show that the proposed framework is robust and valuable for software testing process under the limited time and provides testers with some guides to obtain maximal benefit of the proposed framework.

Publication Details

Page(s) 290-307

DOI DOI not available

Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 2, Year: 2020

Request the full text from PASTIC

Keywords

Code Coverage, Test Suite Reduction, Test Suite Prioritization, Clustering Data Mining, Proposed Framework.

Citations

Downloads

101

Views