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Value-Based Test Case Prioritization for regression testing Using Genetic Algorithms

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Computers, Materials & Continua 2023年第1期74卷 2211-2238页

作者： Farrukh Shahzad Ahmed Awais Majeed Tamim Ahmed Khan Department of Software Engineering Bahria UniversityIslamabadCapitalPakistan

Test Case Prioritization(TCP)techniques perform better than other regression test optimization techniques including Test Suite Reduction(TSR)and Test Case Selection(TCS).Many TCP techniques are available,and their performance is usually measured through a metric Average Percentage of Fault Detection(APFD).This metric is value-neutral because it only works well when all test cases have the same cost,and all faults have the same severity.Using APFD for performance evaluation of test case orders where test cases cost or faults severity varies is prone to produce false results.Therefore,using the right metric for performance evaluation of TCP techniques is very important to get reliable and correct results.In this paper,two value-based TCP techniques have been introduced using Genetic Algorithm(GA)including Value-Cognizant Fault Detection-Based TCP(VCFDB-TCP)and Value-Cognizant Requirements Coverage-Based TCP(VCRCB-TCP).Two novel value-based performance evaluation metrics are also introduced for value-based TCP including Average Percentage of Fault Detection per value(APFDv)and Average Percentage of Requirements Coverage per value(APRCv).Two case studies are performed to validate proposed techniques and performance evaluation metrics.The proposed GA-based techniques outperformed the existing state-of-the-art TCP techniques including Original Order(OO),Reverse Order(REV-O),Random Order(RO),and Greedy algorithm.

关键词： Average percentage of fault detection test case prioritization regression testing and value-based testing value-based test case prioritization genetic algorithms

An Optimized Test Case Minimization Technique Using Genetic Algorithm for regression testing

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Computers, Materials & Continua 2023年第3期74卷 6789-6806页

作者： Rubab Sheikh Muhammad Imran Babar Rawish Butt Abdelzahir Abdelmaboud Taiseer Abdalla Elfadil Eisa Bahria University Islamabad46000Pakistan Department of Computer Science FAST-National University of Computer and Emerging SciencesIslamabadPakistan Department of Computer Science SZABISTIslamabad46000Pakistan Department of Information Systems College of Science and ArtsKing Khalid UniversityMahayil AsirSaudi Arabia

regression testing is a widely used approach to confirm the correct functionality of the software in incremental development.The use of test cases makes it easier to test the ripple effect of changed requirements.Rigorous testingmay help in meeting the quality criteria that is based on the conformance to the requirements as given by the intended stakeholders.However,a minimized and prioritized set of test cases may reduce the efforts and time required for testingwhile focusing on the timely delivery of the software application.In this research,a technique named Test Reduce has been presented to get a minimal set of test cases based on high priority to ensure that the web applicationmeets the required quality criteria.A new technique TestReduce is proposed with a blend of genetic algorithm to find an optimized and minimal set of test cases.The ultimate objective associated with this study is to provide a technique that may solve the minimization problem of regression test cases in the case of linked requirements.In this research,the 100-Dollar prioritization approach is used to define the priority of the new requirements.

关键词： Test case minimization regression testing testreduce genetic algorithm 100-dollar prioritization

Multi-Objective Modified Particle Swarm Optimization for Test Suite Reduction(MOMPSO)

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Computer Systems Science & Engineering 2022年第9期42卷 899-917页

作者： U.Geetha Sharmila Sankar Department of Information Technology B.S.Abdur Rahman Crescent Institute of Science and TechnologyChennai600048India Department of Computer Science and Engineering B.S.Abdur Rahman Crescent Institute of Science and TechnologyChennai600048India

Software testing plays a pivotal role in entire software development lifecycle.It provides researchers with extensive opportunities to develop novel methods for the optimized and cost-effective test suite Although implementation of such a cost-effective test suite with regression testing is being under exploration still it contains lot of challenges and flaws while incorporating with any of the new regression testing algorithm due to irrelevant test cases in the test suite which are not required.These kinds of irrelevant test cases might create certain challenges such as code-coverage in the test suite,fault-tolerance,defects due to uncovered-statements and overall-performance at the time of execution.With this objective,the proposed a new Modified Particle Swarm optimization used for multi-objective test suite optimization.The experiment results involving six subject programs show that MOMPSO method can outer perform with respect to both reduction rate(90.78%to 100%)and failure detection rate(44.56%to 55.01%).Results proved MOMPSO outperformed the other stated algorithms.

关键词： regression testing test suite reduction test case generation

Research of Reuse Technology of Test Case Based on Function Calling Path

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Chinese Journal of Electronics 2018年第4期27卷 768-775页

作者： MU Yongmin GAO Xuexin SHEN Meie Computer School Beijing Information Science and Technology University

In the process of software testing, it requires a lot of manpower and time to design test cases.Test cases of high similarities can be modified to reduce the workload of test case design, and improve the test efficiency. A test case reuse method based on function calling path is proposed. According to the change functions and the correlation functions it determined the changed path to be tested. It selected the function calling path which has high degree of similarity with the changed path to be tested from the original function calling path set. The collection of reusable test cases were determined according to mapping relationship between function calling path and test case, and the reusable test cases were modified to cover the change paths. Experimental results have validated the effectiveness of the proposed test case reuse method, and further reduce the workload of designing test cases and regression testing costs.

关键词： regression testing Function calling path Test case reused

Petri net based test case generation for evolved specification

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Science China(Information Sciences) 2016年第8期59卷 67-91页

作者： Zuohua DING Mingyue JIANG Haibo CHEN Zhi JIN Mengchu ZHOU School of Information Science Zhejiang Sci-Tech University Software Engineering Institute Peking University Department of Electrical and Computer Engineering New Jersey Institute of Technology

Model-based testing can use a model to test a concrete program’s implementation. When the model is changed due to the evolution of the specification, it is important to maintain the test suites up to date, such that it can be used for regression testing. A complete regeneration of the whole test suite from the new model,although inefficient, is still frequently used in practice. To address this problem effectively, we propose a test case reusability analysis technique to identify reusable test cases of the original test suite based on graph analysis,such that we can generate new test cases to cover only the change-related parts of the new model. The Market Information System(MIS) is employed to demonstrate the feasibility and effectiveness of the proposed method.Our experimental results show that the use of our method saves about 31.5% test case generation cost.

关键词： test case generation regression testing evolved specification Petri net reachability graph

DeltaFuzz: Historical Version Information Guided Fuzz testing

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Journal of Computer Science & Technology 2022年第1期37卷 29-49页

作者：张家铭崔展齐陈翔吴欢欢郑丽伟刘建宾 Computer School Beijing Information Science and Technology UniversityBeijing 100101China School of Information Science and Technology Nantong UniversityNantong 226019China

With the widespread use of agile software development methods,such as agile and scrum,software is iteratively updated more frequently.To ensure the quality of the software,regression testing is conducted before new versions are released.Moreover,to improve the efficiency of regression testing,testing efforts should be concentrated on the modified and impacted parts of a program.However,the costs of manually constructing new test cases for the modified and impacted parts are relatively expensive.Fuzz testing is an effective method for generating test data automatically,but it is usually devoted to achieving higher code coverage,which makes fuzz testing unsuitable for direct regression testing scenarios.For this reason,we propose a fuzz testing method based on the guidance of historical version information.First,the differences between the program being tested and the last version are analyzed,and the results of the analysis are used to locate change points.Second,change impact analysis is performed to find the corresponding impacted basic blocks.Finally,the fitness values of test cases are calculated according to the execution traces,and new test cases are generated iteratively by the genetic algorithm.Based on the proposed method,we implement a prototype tool DeltaFuzz and conduct experiments on six open-source projects.Compared with the fuzzing tool AFLGo,AFLFast and AFL,DeltaFuzz can reach the target faster,and the time taken by DeltaFuzz was reduced by 20.59%,30.05%and 32.61%,respectively.

关键词： fuzz testing regression testing change impact analysis fitness function

Fault Coverage-Based Test Case Prioritization and Selection Using African Buffalo Optimization

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Computers, Materials & Continua 2023年第3期74卷 6755-6774页

作者： Shweta Singhal Nishtha Jatana Ahmad F Subahi Charu Gupta Osamah Ibrahim Khalaf Youseef Alotaibi Indira Gandhi Delhi Technical University for Women Delhi110006India Maharaja Surajmal Institute of Technology New Delhi110058India Department of Computer Science University College of Al JamoumUmm Al-Qura UniversityMakkah21421Saudi Arabia Bhagwan Parshuram Institute of Technology RohiniNew Delhi110085India Al-Nahrain University Al-Nahrain Nanorenewable Energy Research CenterBaghdad64074Iraq Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia

Software needs modifications and requires revisions regularly.Owing to these revisions,retesting software becomes essential to ensure that the enhancements made,have not affected its bug-free functioning.The time and cost incurred in this process,need to be reduced by the method of test case selection and prioritization.It is observed that many nature-inspired techniques are applied in this area.African Buffalo Optimization is one such approach,applied to regression test selection and prioritization.In this paper,the proposed work explains and proves the applicability of the African Buffalo Optimization approach to test case selection and prioritization.The proposed algorithm converges in polynomial time(O(n^(2))).In this paper,the empirical evaluation of applying African Buffalo Optimization for test case prioritization is done on sample data set with multiple iterations.An astounding 62.5%drop in size and a 48.57%drop in the runtime of the original test suite were recorded.The obtained results are compared with Ant Colony Optimization.The comparative analysis indicates that African Buffalo Optimization and Ant Colony Optimization exhibit similar fault detection capabilities(80%),and a reduction in the overall execution time and size of the resultant test suite.The results and analysis,hence,advocate and encourages the use of African Buffalo Optimization in the area of test case selection and prioritization.

关键词： Test case prioritization regression testing test case selection African buffalo optimization nature-inspired meta-heuristic

Aware Time in Bug Fix—A Novel Automatic Test Case Selection for Prioritization of Version Control

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Circuits and Systems 2016年第7期7卷 1140-1154页

作者： G. Parkavi D. Jeya Mala Department of MCA Anna University Regional Campus Madurai India Department of MCA Thiagarajar College of Engineering Madurai India

The supreme goal of the Automatic Test case selection techniques is to guarantee systematic coverage, to recognize the usual error forms and to lessen the test of redundancy. It is unfeasible to carry out all the test cases consistently. For this reason, the test cases are picked and prioritize it. The major goal of test case prioritization is to prioritize the test case sequence and finds faults as early as possible to improve the efficiency. regression testing is used to ensure the validity and the enhancement part of the changed software. In this paper, we propose a new path compression technique (PCUA) for both old version and new version of BPEL dataset. In order to analyze the enhancement part of an application and to find an error in an enhancement part of an application, center of the tree has been calculated. Moreover in the comparative analysis, our proposed PCUA- COT technique is compared with the existing XPFG technique in terms of time consuming and error detection in the path of an enhancement part of BPEL dataset. The experimental results have been shown that our proposed work is better than the existing technique in terms of time consuming and error detection.

关键词： Automatic Test Cases Prioritization regression testing BPEL Dataset Composite Services PCUA Test Tree COT Test Tree

Optimizing Technology Research of Test Case based on Fuzzy Cognitive Map

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Optimizing Technology Research of Test Case based on Fuzzy C...