Bibliographies thématiques / PRIORITIZING TEST CASES

Littérature scientifique sur le sujet « PRIORITIZING TEST CASES »

Auteur : Grafiati
Publié le 11 septembre 2023

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Articles de revues sur le sujet "PRIORITIZING TEST CASES"

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Rothermel, G., R. H. Untch, Chengyun Chu et M. J. Harrold. « Prioritizing test cases for regression testing ». IEEE Transactions on Software Engineering 27, no 10 (2001) : 929–48. http://dx.doi.org/10.1109/32.962562.

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Elbaum, Sebastian, Alexey G. Malishevsky et Gregg Rothermel. « Prioritizing test cases for regression testing ». ACM SIGSOFT Software Engineering Notes 25, no 5 (septembre 2000) : 102–12. http://dx.doi.org/10.1145/347636.348910.

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Ledru, Yves, Alexandre Petrenko, Sergiy Boroday et Nadine Mandran. « Prioritizing test cases with string distances ». Automated Software Engineering 19, no 1 (7 septembre 2011) : 65–95. http://dx.doi.org/10.1007/s10515-011-0093-0.

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Mei, Hong, Dan Hao, Lingming Zhang, Lu Zhang, Ji Zhou et Gregg Rothermel. « A Static Approach to Prioritizing JUnit Test Cases ». IEEE Transactions on Software Engineering 38, no 6 (novembre 2012) : 1258–75. http://dx.doi.org/10.1109/tse.2011.106.

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Öztürk, Muhammed Maruf. « A bat-inspired algorithm for prioritizing test cases ». Vietnam Journal of Computer Science 5, no 1 (7 septembre 2017) : 45–57. http://dx.doi.org/10.1007/s40595-017-0100-x.

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Hemmati, Hadi, Zhihan Fang, Mika V. Mäntylä et Bram Adams. « Prioritizing manual test cases in rapid release environments ». Software Testing, Verification and Reliability 27, no 6 (13 juillet 2016) : e1609. http://dx.doi.org/10.1002/stvr.1609.

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Mittal, Shweta, et Om Prakash Sangwan. « Prioritizing test cases for regression techniques using metaheuristic techniques ». Journal of Information and Optimization Sciences 39, no 1 (15 novembre 2017) : 39–51. http://dx.doi.org/10.1080/02522667.2017.1372150.

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Qian, Ju, et Di Zhou. « Prioritizing Test Cases for Memory Leaks in Android Applications ». Journal of Computer Science and Technology 31, no 5 (septembre 2016) : 869–82. http://dx.doi.org/10.1007/s11390-016-1670-2.

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Alves, Everton L. G., Patrícia D. L. Machado, Tiago Massoni et Miryung Kim. « Prioritizing test cases for early detection of refactoring faults ». Software Testing, Verification and Reliability 26, no 5 (21 mars 2016) : 402–26. http://dx.doi.org/10.1002/stvr.1603.

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Ayav, Tolga. « Prioritizing MCDC test cases by spectral analysis of Boolean functions ». Software Testing, Verification and Reliability 27, no 7 (1 août 2017) : e1641. http://dx.doi.org/10.1002/stvr.1641.

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Thèses sur le sujet "PRIORITIZING TEST CASES"

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MONIKA. « EVALUATING THE IMPACT OF PRIORITIZING TEST CASES EXPLOITING GENETIC ALGORITHM ». Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18949.

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It is essential to maintain the software on time by updating the code based on the changes taking place in the user requirements or technology. Test case prioritization is the regression testing technique that arranges the test cases during the software maintenance stage but it is not feasible to re-run every test case. Genetic algorithm, a search-based algorithm prioritize the test cases successfully and gives optimal outcomes. This paper gives a systematic literature review by prioritizing test cases using genetic algorithm by selecting the most relevant studies with the help of search strategy, quality assessment, data extraction and data synthesis process. We then explored the current research trend of studies with detailed analysis by covering every aspect of existing research. It is observed that the use of appropriate parameters, databases and tools can enhance the results. This review also yields limitations and suggestions for future researchers to understand and enhance the effectiveness of genetic algorithm by prioritizing test cases.
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Livres sur le sujet "PRIORITIZING TEST CASES"

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Elbaum, Sebastian. Prioritizing test cases for regression testing. [Corvallis, OR] : Oregon State University, Dept. of Computer Science, 2000.

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Chapitres de livres sur le sujet "PRIORITIZING TEST CASES"

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Malz, Christoph, Kerstin Sommer, Peter Göhner et Birgit Vogel-Heuser. « Consideration of Human Factors for Prioritizing Test Cases for the Software System Test ». Dans Engineering Psychology and Cognitive Ergonomics, 303–12. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21741-8_33.

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Nivrutti Hulule, Pritee. « The Fundamental of TCP Techniques ». Dans Control Theory in Engineering [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.100850.

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Strategies for prioritizing test cases plan test cases to reduce the cost of retrospective testing and to enhance a specific objective function. Test cases are prioritized as those most important test cases under certain conditions are made before the re-examination process. There are many strategies available in the literature that focus on achieving various pre-test testing objectives and thus reduce their cost. In addition, inspectors often select a few well-known strategies for prioritizing trial cases. The main reason behind the lack of guidelines for the selection of TCP strategies. Therefore, this part of the study introduces the novel approach to TCP strategic planning using the ambiguous concept to support the effective selection of experimental strategies to prioritize experimental cases. This function is an extension of the already selected selection schemes for the prioritization of probation cases.
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Jarzabek, Stanislaw, et Cezary Boldak. « Prioritizing Defects for Debugging with Requirement-to-Test-Case Mappings ». Dans Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220254.

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Suppose regression testing reported many defects, and now we need decide about the order in which to correct them. In addition to commonly used defect prioritization based on their business importance, we propose to take into account also dependencies among defects, and to correct defects in an order that reduces the overall debugging effort. A goal here is to start by fixing root causes of failures, i.e., defects that may be causing many other program failures. A related goal is to avoid prematurely fixing defects that depend on other, yet to be fixed defects, as this is likely to incur wastage of time. Our proposed method requires that test cases have been mapped to relevant software requirements. We defined heuristics to infer defect dependencies, and a suitable defect debugging order from these mappings. The process is semi-automatic, supported by a tool called TRAcker. TRAcker accepts test results, performs heuristics-based computations, and recommends a time-efficient defect debugging order from the perspective of defect dependencies. TRAcker’s filtering and visualization features allow a user to participate in the process, so that tool recommendations as well as other factors can be taken into account. We show that defect prioritization on technical and business grounds together contribute to effective debugging.
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Jaiswal, Shruti, et Daya Gupta. « Measuring Security ». Dans Research Anthology on Artificial Intelligence Applications in Security, 1303–30. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7705-9.ch058.

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The researchers have been focusing on embedding security from the early phases of software development lifecycle. They have researched and innovated a field of Security Engineering where security concerns are embedded during requirement, design, and testing phases of software development. Efforts were made in developing methods, methodologies, and tools to handle security issues. Various methods are present in the literature for eliciting, analyzing and prioritizing the security requirements. During the design phase based on prioritized requirements, environment parameters and attribute a suitable security algorithm mainly cryptography algorithms are identified. Then a question arises how to test the effectiveness of chosen algorithm? Therefore, as an answer to the issue in this paper, a process for Security Testing is presented that evaluates the selected security algorithms. Evaluation is done by generating the test scenarios for functionalities using sequence diagram representing the threats at vulnerable points. Then, checking the mitigation of potential threats at identified vulnerable points. A security index is generated which shows the effectiveness of deployed/ chosen security algorithm. The process ends with the generation of a test report depicting the testing summary. For a clear understanding of the process, the proposal is illustrated with a case study of the cloud storage as a service model.
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Jaiswal, Shruti, et Daya Gupta. « Measuring Security ». Dans Research Anthology on Artificial Intelligence Applications in Security, 1303–30. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7705-9.ch058.

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The researchers have been focusing on embedding security from the early phases of software development lifecycle. They have researched and innovated a field of Security Engineering where security concerns are embedded during requirement, design, and testing phases of software development. Efforts were made in developing methods, methodologies, and tools to handle security issues. Various methods are present in the literature for eliciting, analyzing and prioritizing the security requirements. During the design phase based on prioritized requirements, environment parameters and attribute a suitable security algorithm mainly cryptography algorithms are identified. Then a question arises how to test the effectiveness of chosen algorithm? Therefore, as an answer to the issue in this paper, a process for Security Testing is presented that evaluates the selected security algorithms. Evaluation is done by generating the test scenarios for functionalities using sequence diagram representing the threats at vulnerable points. Then, checking the mitigation of potential threats at identified vulnerable points. A security index is generated which shows the effectiveness of deployed/ chosen security algorithm. The process ends with the generation of a test report depicting the testing summary. For a clear understanding of the process, the proposal is illustrated with a case study of the cloud storage as a service model.
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Actes de conférences sur le sujet "PRIORITIZING TEST CASES"

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Elbaum, Sebastian, Alexey G. Malishevsky et Gregg Rothermel. « Prioritizing test cases for regression testing ». Dans the International Symposium. New York, New York, USA : ACM Press, 2000. http://dx.doi.org/10.1145/347324.348910.

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Fazlalizadeh, Y., A. Khalilian, M. Abdollahi Azgomi et S. Parsa. « Prioritizing test cases for resource constraint environments using historical test case performance data ». Dans 2009 2nd IEEE International Conference on Computer Science and Information Technology. IEEE, 2009. http://dx.doi.org/10.1109/iccsit.2009.5234968.

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Zhang, Lingming, Ji Zhou, Dan Hao, Lu Zhang et Hong Mei. « Prioritizing JUnit test cases in absence of coverage information ». Dans 2009 IEEE International Conference on Software Maintenance (ICSM). IEEE, 2009. http://dx.doi.org/10.1109/icsm.2009.5306350.

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Hemmati, Hadi, Zhihan Fang et Mika V. Mantyla. « Prioritizing Manual Test Cases in Traditional and Rapid Release Environments ». Dans 2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST). IEEE, 2015. http://dx.doi.org/10.1109/icst.2015.7102602.

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Salehie, Mazeiar, Sen Li, Ladan Tahvildari, Rozita Dara, Shimin Li et Mark Moore. « Prioritizing Requirements-Based Regression Test Cases : A Goal-Driven Practice ». Dans 2011 15th European Conference on Software Maintenance and Reengineering (CSMR). IEEE, 2011. http://dx.doi.org/10.1109/csmr.2011.46.

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Sampath, Sreedevi, Renee C. Bryce, Gokulanand Viswanath, Vani Kandimalla et A. Gunes Koru. « Prioritizing User-Session-Based Test Cases for Web Applications Testing ». Dans 2008 International Conference on Software Testing, Verification, and Validation. IEEE, 2008. http://dx.doi.org/10.1109/icst.2008.42.

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Yu, Y. T., S. P. Ng et E. Y. K. Chan. « Generating, selecting and prioritizing test cases from specifications with tool support ». Dans Third International Conference on Quality Software, 2003. Proceedings. IEEE, 2003. http://dx.doi.org/10.1109/qsic.2003.1319089.

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Ouriques, Joao Felipe Silva. « Strategies for Prioritizing Test Cases Generated Through Model-Based Testing Approaches ». Dans 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering (ICSE). IEEE, 2015. http://dx.doi.org/10.1109/icse.2015.338.

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Ye, Jiaxi, Bin Zhang, Ziqing Ye, Chao Feng et Chaojing Tang. « Improving the Cooperation of Fuzzing and Symbolic Execution by Test-cases Prioritizing ». Dans 2017 13th International Conference on Computational Intelligence and Security (CIS). IEEE, 2017. http://dx.doi.org/10.1109/cis.2017.00126.

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Nguyen, Hoang-Gia, Hoang-Dat Le et Vu Nguyen. « Prioritizing automated test cases of Web applications using reinforcement learning : an enhancement ». Dans 2021 13th International Conference on Knowledge and Systems Engineering (KSE). IEEE, 2021. http://dx.doi.org/10.1109/kse53942.2021.9648835.

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