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Journal articles on the topic 'Test case prioritization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Puri, Swati, and Sheena Singh. "Techniques of Test Case Prioritization." International Journal of Scientific Engineering and Research 4, no. 4 (2016): 63–65. https://doi.org/10.70729/ijser15755.

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2

B., Swati, and Rutuja Rajput. "Model based Test Case Prioritization." International Journal of Computer Applications 171, no. 7 (2017): 10–14. http://dx.doi.org/10.5120/ijca2017915088.

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3

Basa, S. S., S. K. Swain, and D. P. Mohapatra. "Model-based Test Case Prioritization." International Journal of Computer Sciences and Engineering 6, no. 10 (2018): 373–81. http://dx.doi.org/10.26438/ijcse/v6i10.373381.

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4

Ansari, Ahlam, Anam Khan, Alisha Khan, and Konain Mukadam. "Optimized Regression Test Using Test Case Prioritization." Procedia Computer Science 79 (2016): 152–60. http://dx.doi.org/10.1016/j.procs.2016.03.020.

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5

KRISHNAMOORTHI, R., and S. A. SAHAAYA ARUL MARY. "REQUIREMENT BASED SYSTEM TEST CASE PRIORITIZATION OF NEW AND REGRESSION TEST CASES." International Journal of Software Engineering and Knowledge Engineering 19, no. 03 (2009): 453–75. http://dx.doi.org/10.1142/s0218194009004222.

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Test case prioritization schedules the test cases in an order that increases the effectiveness in achieving some performance goals. One of the most important performance goals is the rate of fault detection. Test cases should run in an order that increases the possibility of fault detection and also detects the most severe faults at the earliest in its testing life cycle. Test case prioritization techniques have proved to be beneficial for improving regression testing activities. While code coverage based prioritization techniques are found to be studied by most scholars, test case prioritizat

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Ahlam, Ansari1 Alisha Khan2 Anam Khan3 and Konain Mukadam4. "TEST CASE PRIORITIZATION FOR OPTIMIZING A REGRESSION TEST." International Journal on Foundations of Computer Science & Technology (IJFCST) 6, no. 2 (2023): 14. https://doi.org/10.5281/zenodo.7712776.

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Regression testing makes sure that upgradation of software in terms of adding new features or for bug fixing purposes should not hamper previously working functionalities. Whenever a software is upgraded or modified, a set of test cases are run on each of its functions to assure that the change to that function is not affecting other parts of the software that were previously running flawlessly. For achieving this, all existing test cases need to run as well as new test cases might be required to be created. It is not feasible to reexecute every test case for all the functions of a given softw

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WANG, ZIYUAN, LIN CHEN, BAOWEN XU, and YAN HUANG. "COST-COGNIZANT COMBINATORIAL TEST CASE PRIORITIZATION." International Journal of Software Engineering and Knowledge Engineering 21, no. 06 (2011): 829–54. http://dx.doi.org/10.1142/s0218194011005499.

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Combinatorial testing has been widely used in practice. People usually assume all test cases in combinatorial test suite will run completely. However, in many scenarios where combinatorial testing is needed, for example the regression testing, the entire combinatorial test suite is not run completely as a result of test resource constraints. To improve the efficiency of testing, combinatorial test case prioritization technique is required. For the scenario of regression testing, this paper proposes a new cost-cognizant combinatorial test case prioritization technique, which takes both combinat

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Tiutin, C. M., M. T. Trifan, and A. Vescan. "Defect Prediction-Based Test Case Prioritization." Studia Universitatis Babeș-Bolyai Informatica 65, no. 2 (2020): 78. http://dx.doi.org/10.24193/subbi.2020.2.06.

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Changes in the software necessitate confirmation testing and regression testing to be applied since new errors may be introduced with the modification. Test case prioritization is one method that could be applied to optimize which test cases should be executed first, involving how to schedule them in a certain order that detect faults as soon as possible.The main aim of our paper is to propose a test case prioritization technique by considering defect prediction as a criteria for prioritization in addition to the standard approach which considers the number of discovered faults. We have perfor

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Zhang, Quanjun, Chunrong Fang, Weisong Sun, Shengcheng Yu, Yutao Xu, and Yulei Liu. "Test case prioritization using partial attention." Journal of Systems and Software 192 (October 2022): 111419. http://dx.doi.org/10.1016/j.jss.2022.111419.

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10

Geetha, U., Sharmila Sankar, and M. Sandhya. "Acceptance testing based test case prioritization." Cogent Engineering 8, no. 1 (2021): 1907013. http://dx.doi.org/10.1080/23311916.2021.1907013.

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11

Hao, Dan, Lingming Zhang, Lu Zhang, Gregg Rothermel, and Hong Mei. "A Unified Test Case Prioritization Approach." ACM Transactions on Software Engineering and Methodology 24, no. 2 (2014): 1–31. http://dx.doi.org/10.1145/2685614.

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12

Emam, Seyedeh Sepideh, and James Miller. "Test Case Prioritization Using Extended Digraphs." ACM Transactions on Software Engineering and Methodology 25, no. 1 (2015): 1–41. http://dx.doi.org/10.1145/2789209.

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13

Panigrahi, Chhabi Rani, and Rajib Mall. "Model-based regression test case prioritization." ACM SIGSOFT Software Engineering Notes 35, no. 6 (2010): 1–7. http://dx.doi.org/10.1145/1874391.1874405.

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14

Eghbali, Sepehr, and Ladan Tahvildari. "Test Case Prioritization Using Lexicographical Ordering." IEEE Transactions on Software Engineering 42, no. 12 (2016): 1178–95. http://dx.doi.org/10.1109/tse.2016.2550441.

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15

Hao, Dan, Lu Zhang, and Hong Mei. "Test-case prioritization: achievements and challenges." Frontiers of Computer Science 10, no. 5 (2016): 769–77. http://dx.doi.org/10.1007/s11704-016-6112-3.

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16

Kaur, Sarabjit, and Bhanu Priya. "Test-Case Prioritization Using Adaptive Approach." International Journal of Hybrid Information Technology 9, no. 5 (2016): 47–60. http://dx.doi.org/10.14257/ijhit.2016.9.5.05.

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17

Ansari, Ahlam, Alisha Khan, Anam Khan, and Konain Mukadam. "Test Case Prioritization for Optimizing a Regression Test." International Journal in Foundations of Computer Science & Technology 6, no. 2 (2016): 23–36. http://dx.doi.org/10.5121/ijfcst.2016.6202.

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Mei, Lijun, Yan Cai, Changjiang Jia, Bo Jiang, and W. K. Chan. "Test Pair Selection for Test Case Prioritization in Regression Testing for WS-BPEL Programs." International Journal of Web Services Research 10, no. 1 (2013): 73–102. http://dx.doi.org/10.4018/jwsr.2013010104.

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Many web services not only communicate through XML-based messages, but also may dynamically modify their behaviors by applying different interpretations on XML messages through updating the associated XML Schemas or XML-based interface specifications. Such artifacts are usually complex, allowing XML-based messages conforming to these specifications structurally complex. Testing should cost-effectively cover all scenarios. Test case prioritization is a dimension of regression testing that assures a program from unintended modifications by reordering the test cases within a test suite. However,

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19

Zhou, Jianyi, Junjie Chen, and Dan Hao. "Parallel Test Prioritization." ACM Transactions on Software Engineering and Methodology 31, no. 1 (2022): 1–50. http://dx.doi.org/10.1145/3471906.

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Although regression testing is important to guarantee the software quality in software evolution, it suffers from the widely known cost problem. To address this problem, existing researchers made dedicated efforts on test prioritization, which optimizes the execution order of tests to detect faults earlier; while practitioners in industry leveraged more computing resources to save the time cost of regression testing. By combining these two orthogonal solutions, in this article, we define the problem of parallel test prioritization, which is to conduct test prioritization in the scenario of par

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20

Samad, Ali, Hairulnizam Bin Mahdin, Rafaqat Kazmi, Rosziati Ibrahim, and Zirawani Baharum. "Multiobjective Test Case Prioritization Using Test Case Effectiveness: Multicriteria Scoring Method." Scientific Programming 2021 (June 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/9988987.

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Modified source code validation is done by regression testing. In regression testing, the time and resources are limited, in which we have to select the minimal test cases from test suites to reduce execution time. The test case minimization process deals with the optimization of the regression testing by removing redundant test cases or prioritizing the test cases. This study proposed a test case prioritization approach based on multiobjective particle swarm optimization (MOPSO) by considering minimum execution time, maximum fault detection ability, and maximum code coverage. The MOPSO algori

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21

Fernandes, Ícaro Prado, and Martins Luiz Eduardo Galvão. "Test case prioritization based on human knowledge." JUCS - Journal of Universal Computer Science 31, no. (6) (2025): 552–71. https://doi.org/10.3897/jucs.127870.

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Building quality software, that is, suitable for use and meeting user needs, is one of the biggest challenges in the software industry. Although it is possible to guarantee the proper functioning of software through testing activities, such activities are exhaustive in nature, as it is impossible to test all inputs of a minimally complex program. This work proposes a method to prioritize test cases based on human knowledge using a combination of factors evaluated in an assessment answered by 29 software industry professionals and 5 academics. The assessment confirmed that the proposed factors

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22

QU, Bo, Chang-Hai NIE, and Bao-Wen XU. "Test Case Prioritization Based on Test Suite Design Information." Chinese Journal of Computers 31, no. 3 (2009): 431–39. http://dx.doi.org/10.3724/sp.j.1016.2008.00431.

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23

Pachariya, Manoj Kumar. "Building Ant System for Multi-Faceted Test Case Prioritization." International Journal of Software Innovation 8, no. 2 (2020): 23–37. http://dx.doi.org/10.4018/ijsi.2020040102.

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This article presents the empirical study of multi-criteria test case prioritization. In this article, a test case prioritization problem with time constraints is being solved by using the ant colony optimization (ACO) approach. The ACO is a meta-heuristic and nature-inspired approach that has been applied for the statement of a coverage-based test case prioritization problem. The proposed approach ranks test cases using statement coverage as a fitness criteria and the execution time as a constraint. The proposed approach is implemented in MatLab and validated on widely used benchmark dataset,

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24

Sharma, Sheetal, and Swati V. Chande. "Optimizing test case prioritization using machine learning algorithms." Journal of Autonomous Intelligence 6, no. 2 (2023): 661. http://dx.doi.org/10.32629/jai.v6i2.661.

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<p>Software testing is an important aspect of software development to ensure the quality and reliability of the software. With the increasing complexity of software systems, the number of test cases has also increased significantly, making it challenging to execute all the test cases in a limited amount of time. Test case prioritization techniques have been proposed to tackle this problem by identifying and executing the most important test cases first. In this research paper, we propose the use of machine learning algorithms for prioritization of test cases. We explore different machine

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25

Kire, Kevilienuo, and Neha Malhotra. "Study of Test Case Selection and Prioritization." International Journal of Computer Applications 85, no. 5 (2014): 28–30. http://dx.doi.org/10.5120/14838-3100.

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26

Zhang, Gen, and Xu Zhou. "AFL Extended with Test Case Prioritization Techniques." International Journal of Modeling and Optimization 8, no. 1 (2018): 41–45. http://dx.doi.org/10.7763/ijmo.2018.v8.622.

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27

Jafrin, Samia, Dip Nandi, and Sharfuddin Mahmood. "Test Case Prioritization based on Fault Dependency." International Journal of Modern Education and Computer Science 8, no. 4 (2016): 33–45. http://dx.doi.org/10.5815/ijmecs.2016.04.05.

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28

Chaudhary, S., and R. Singh. "Test Case Prioritization Using Modified Bat Algorithm." International Journal of Computer Sciences and Engineering 6, no. 7 (2018): 145–49. http://dx.doi.org/10.26438/ijcse/v6i7.145149.

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29

Singh, Ajmer, Rajesh Kumar Bhatia, and Anita Singhrova. "Object Oriented Coupling based Test Case Prioritization." International Journal of Computer Sciences and Engineering 6, no. 9 (2018): 747–54. http://dx.doi.org/10.26438/ijcse/v6i9.747754.

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30

Solanki, Kamna, and Yudhvir Singh. "Novel Classification of Test Case Prioritization Techniques." International Journal of Computer Applications 100, no. 12 (2014): 36–42. http://dx.doi.org/10.5120/17580-8356.

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31

Aggarwal, K. K., Yogesh Singh, and Arvinder Kaur. "A multiple parameter test case prioritization model." Journal of Statistics and Management Systems 8, no. 2 (2005): 369–86. http://dx.doi.org/10.1080/09720510.2005.10701165.

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32

Gupta, Sahil. "A Novel Approach for Test Case Prioritization." International Journal of Computer Science, Engineering and Applications 2, no. 3 (2012): 53–60. http://dx.doi.org/10.5121/ijcsea.2012.2305.

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33

Li, Zheng, Mark Harman, and Robert M. Hierons. "Search Algorithms for Regression Test Case Prioritization." IEEE Transactions on Software Engineering 33, no. 4 (2007): 225–37. http://dx.doi.org/10.1109/tse.2007.38.

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34

Singh, Yogesh, Arvinder Kaur, and Bharti Suri. "Test case prioritization using ant colony optimization." ACM SIGSOFT Software Engineering Notes 35, no. 4 (2010): 1–7. http://dx.doi.org/10.1145/1811226.1811238.

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35

Catal, Cagatay, and Deepti Mishra. "Test case prioritization: a systematic mapping study." Software Quality Journal 21, no. 3 (2012): 445–78. http://dx.doi.org/10.1007/s11219-012-9181-z.

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36

Flemström, Daniel, Pasqualina Potena, Daniel Sundmark, Wasif Afzal, and Markus Bohlin. "Similarity-based prioritization of test case automation." Software Quality Journal 26, no. 4 (2018): 1421–49. http://dx.doi.org/10.1007/s11219-017-9401-7.

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37

Singhal, Heena, and Kirti Tyagi. "An Evolution of Test Case Prioritization Techniques." International Journal of Computer Applications 130, no. 1 (2015): 33–37. http://dx.doi.org/10.5120/ijca2015906868.

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38

Maia, Camila Loiola Brito, Rafael Augusto Ferreira do Carmo, Fabrício Gomes de Freitas, Gustavo Augusto Lima de Campos, and Jerffeson Teixeira de Souza. "Automated Test Case Prioritization with Reactive GRASP." Advances in Software Engineering 2010 (January 18, 2010): 1–18. http://dx.doi.org/10.1155/2010/428521.

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Modifications in software can affect some functionality that had been working until that point. In order to detect such a problem, the ideal solution would be testing the whole system once again, but there may be insufficient time or resources for this approach. An alternative solution is to order the test cases so that the most beneficial tests are executed first, in such a way only a subset of the test cases can be executed with little lost of effectiveness. Such a technique is known as regression test case prioritization. In this paper, we propose the use of the Reactive GRASP metaheuristic

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39

Thomas, Stephen W., Hadi Hemmati, Ahmed E. Hassan, and Dorothea Blostein. "Static test case prioritization using topic models." Empirical Software Engineering 19, no. 1 (2012): 182–212. http://dx.doi.org/10.1007/s10664-012-9219-7.

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40

Bian, Yi, Zheng Li, Junxia Guo, and Ruilian Zhao. "Concrete hyperheuristic framework for test case prioritization." Journal of Software: Evolution and Process 30, no. 11 (2018): e1992. http://dx.doi.org/10.1002/smr.1992.

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41

Kumar, Amit, and Karambir Singh. "A Literature Survey on test case prioritization." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 05 (2014): 793–99. https://doi.org/10.5281/zenodo.14742484.

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Testing, Analyzing, and Debugging all together are very critical and influential activities for controlling the quality of a software product and it accounts over 50% of the costs associated with the development of whole software systems. Development organizations desire to thoroughly test the software, but exhaustive testing is not possible. Test case prioritization techniques schedule the test cases for execution in an order based on some specific criteria so that the tests with better fault detection capability are executed at an early position. A variety of objective functions are applicab

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42

Haraty, Ramzi A., Nashat Mansour, Lama Moukahal, and Iman Khalil. "Regression Test Cases Prioritization Using Clustering and Code Change Relevance." International Journal of Software Engineering and Knowledge Engineering 26, no. 05 (2016): 733–68. http://dx.doi.org/10.1142/s0218194016500248.

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Regression testing is important for maintaining software quality. However, the cost of regression testing is relatively high. Test case prioritization is one way to reduce this cost. Test case prioritization techniques sort test cases for regression testing based on their importance. In this paper, we design and implement a test case prioritization method based on the location of a change. The method consists of three steps: (1) clustering test cases, (2) prioritizing the clusters with respect to the relevance of the clusters to a code change, and (3) test case prioritization within each clust

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43

Deepa, S. "Metaheuristics for Multi Criteria Test Case Prioritization for Regression Testing." Journal of Computers, Mechanical and Management 1, no. 1 (2022): 42–51. http://dx.doi.org/10.57159/gadl.jcmm.1.1.22015.

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Under the constraints of project deliveries, it is too costly to frequency run a large number of test cases. Test case prioritization is needed to rank the test cases. The prioritization must be done in such way that it is able to detect maximum number of faults in available time. Though many test case prioritization techniques have been proposed they have not considered the risk is skipping the test cases. This work solves the test case prioritization or test case subset selection as a multi criteria optimization problem. A meta heuristics algorithm in proposed in this work combining Particle

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44

Singhal, Shweta, Nishtha Jatana, Geetika Dhand, Shaily Malik, and Kavita Sheoran. "Empirical Evaluation of Tetrad Optimization Methods for Test Case Selection and Prioritization." Indian Journal Of Science And Technology 16, no. 14 (2023): 1038–44. http://dx.doi.org/10.17485/ijst/v16i14.2109.

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45

Idham, Muhammad, Shahliza Abd Halim, Dayang Norhayati Abang Jawawi, Zalmiyah Zakaria, Aldo Erianda, and Nachnoer Arss. "Test Case Prioritization for Software Product Line: A Systematic Mapping Study." JOIV : International Journal on Informatics Visualization 7, no. 3-2 (2023): 2126. http://dx.doi.org/10.30630/joiv.7.3-2.1340.

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Combinatorial explosion remains a common issue in testing. Due to the vast number of product variants, the number of test cases required for comprehensive coverage has significantly increased. One of the techniques to efficiently tackle this problem is prioritizing the test suites using a regression testing method. However, there is a lack of comprehensive reviews focusing on test case prioritization in SPLs. To address this research gap, this paper proposed a systematic mapping study to observe the extent of test case prioritization usage in Software Product Line Testing. The study aims to cl

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46

Fariya, Sultana Prity. "Enhancing Software Testing Efficiency through AI-guided Test Case Prioritization: A Systematic Literature Review." Journal of Advances in Computational Intelligence Theory 5, no. 3 (2023): 48–58. https://doi.org/10.5281/zenodo.8337098.

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<em>In today's software development landscape, the need for efficient testing methodologies has become paramount to ensure the delivery of high-quality software products. With the advent of artificial intelligence (AI) techniques, test case prioritization has emerged as a promising approach to optimize testing efforts. This systematic literature review delves into the realm of enhancing software testing efficiency through AI-guided test case prioritization. The review synthesizes findings from a range of studies that apply diverse AI techniques in various software domains, emphasizing thei

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47

Dhareula, Priyanka. "Validating Switch Variable of Flower Pollination Algorithm in Regression Test Case Prioritization." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 745–48. http://dx.doi.org/10.22214/ijraset.2022.45397.

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Abstract: This study aims at analysing and validating the impact of switch variable of Flower Pollination Algorithm (FPA) in regression test case prioritization. The value of switch variable decides whether local or global optimization will take place. The present study makes an attempt to analyse the impact of switch variable with values ranging from 0.8 to 0.1 on test case prioritization in regression testing. The present study is an extension of the prior work done to implement FPA for test case prioritization in regression testing. To validate the study two case studies written in Java pro

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48

Wang, Rongcun, Shujuan Jiang, Deng Chen, and Yanmei Zhang. "Empirical Study of the Effects of Different Similarity Measures on Test Case Prioritization." Mathematical Problems in Engineering 2016 (2016): 1–19. http://dx.doi.org/10.1155/2016/8343910.

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Similarity-based test case prioritization algorithms have been applied to regression testing. The common characteristic of these algorithms is to reschedule the execution order of test cases according to the distances between pair-wise test cases. The distance information can be calculated by different similarity measures. Since the topologies vary with similarity measures, the distances between pair-wise test cases calculated by different similarity measures are different. Similarity measures could significantly influence the effectiveness of test case prioritization. Therefore, we empiricall

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49

Dahiya, Omdev, and Kamna Solanki. "A systematic literature study of regression test case prioritization approaches." International Journal of Engineering & Technology 7, no. 4 (2018): 2184. http://dx.doi.org/10.14419/ijet.v7i4.15805.

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Regression testing is about running the entire test ensemble again to ensure that amendments do not negatively affect the system. A popular approach in regression testing is test case prioritization which reorders test cases in such a way that those with higher priorities are run earlier than those with lower priorities based on some criterion. Numerous researchers have worked on different aspects of prioritization approaches. This paper presents the result of the study conducted on different prioritization approaches showing mostly stressed areas by researchers and the areas where there is a

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50

Deepa, Shivakumar. "Metaheuristics for Multi Criteria Test Case Prioritization for Regression Testing." Journal of Computers, Mechanical and Management 1, no. 1 (2022): 41–51. https://doi.org/10.5281/zenodo.7140195.

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Regression testing plays a major role in software maintenance. The occurrence of any new fault during the retesting or modification process needs to be analyzed effectively. Regression testing needs enormous effort to produce a higher fault detection rate. Test case prioritization is an efficient way to predict the fault detection rate. Under the constraints of project deliveries, it is too costly to run a large number of test cases frequently. Test case prioritization is needed to rank the test cases. The prioritization must be done to detect the maximum number of faults in the available time

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