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Improved Test Case Selection Algorithm to Reduce Time in Regression Testing

Computers, Materials & Continua 2022年第7期72卷 635-650页

作者： israr ghani Wan M.N.Wan-Kadir Adila Firdaus Arbain Noraini Ibrahim School of Computing Faculty of EngineeringUniversiti Teknologi Malaysia(UTM)Johor Bahru81310Malaysia

Regression testing(RT)is an essential but an expensive activity in software development.RT confirms that new faults/errors will not have occurred in the modified program.RT efficiency can be improved through an effective technique of selected only modified test cases that appropriate to the modifications within the given time frame.Earlier,several test case selection approaches have been introduced,but either these techniques were not sufficient according to the requirements of software tester experts or they are ineffective and cannot be used for available test suite specifications and architecture.To address these limitations,we recommend an improved and efficient test case selection(TCS)algorithm for RT.Our proposed technique decreases the execution time and redundancy of the duplicate test cases(TC)and detects onlymodified changes that appropriate to themodifications in test cases.To reduce execution time for TCS,evaluation results of our proposed approach are established on fault detection,redundancy and already executed test case.Results indicate that proposed technique decreases the inclusive testing time of TCS to execute modified test cases by,on average related to a method of Hybrid Whale Algorithm(HWOA),which is a progressive TCS approach in regression testing for a single product.

关键词： Test case selection regression testing change detection TCS algorithm test suite minimization

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An EFSM-Based Test Data Generation Approach in Model-Based Testing

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Computers, Materials & Continua 2022年第6期71卷 4337-4354页

作者： Muhammad Luqman Mohd-Shafie Wan Mohd Nasir Wan Kadir Muhammad Khatibsyarbini Mohd Adham Isa israr ghani Husni Ruslai Department of Software Engineering School of ComputingFaculty of EngineeringUniversiti Teknologi Malaysia81310Johor BahruJohorMalaysia GATES IT Solution Sdn Bhd WISMA GATESJalan Perdana 4Taman Sri Pulai Perdana 281300SkudaiJohorMalaysia

Testing is an integral part of software development.Current fastpaced system developments have rendered traditional testing techniques obsolete.Therefore,automated testing techniques are needed to adapt to such system developments speed.Model-based testing(MBT)is a technique that uses system models to generate and execute test cases automatically.It was identified that the test data generation(TDG)in many existing model-based test case generation(MB-TCG)approaches were still manual.An automatic and effective TDG can further reduce testing cost while detecting more faults.This study proposes an automated TDG approach in MB-TCG using the extended finite state machine model(EFSM).The proposed approach integrates MBT with combinatorial testing.The information available in an EFSM model and the boundary value analysis strategy are used to automate the domain input classifications which were done manually by the existing approach.The results showed that the proposed approach was able to detect 6.62 percent more faults than the conventionalMB-TCG but at the same time generated 43 more tests.The proposed approach effectively detects faults,but a further treatment to the generated tests such as test case prioritization should be done to increase the effectiveness and efficiency of testing.

关键词： Model-based testing test case generation test data generation combinatorial testing extended finite state machine

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