Hybrid and dynamic static criteria models for test case prioritization of web application regression testing
Thesis (PhD. (Computer Science))
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| Format: | Thesis |
| Language: | English |
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Universiti Teknologi Malaysia
2024
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| Online Access: | http://openscience.utm.my/handle/123456789/982 |
| _version_ | 1825623526130843648 |
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| author | Nejad, Mojtaba Raeisi |
| author_facet | Nejad, Mojtaba Raeisi |
| author_sort | Nejad, Mojtaba Raeisi |
| collection | OpenScience |
| description | Thesis (PhD. (Computer Science)) |
| first_indexed | 2024-03-05T17:35:14Z |
| format | Thesis |
| id | oai:openscience.utm.my:123456789/982 |
| institution | Universiti Teknologi Malaysia - OpenScience |
| language | English |
| last_indexed | 2024-03-05T17:35:14Z |
| publishDate | 2024 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| spelling | oai:openscience.utm.my:123456789/9822024-02-14T16:00:25Z Hybrid and dynamic static criteria models for test case prioritization of web application regression testing Nejad, Mojtaba Raeisi Web applications—Development Computer software—Testing Regression analysis Thesis (PhD. (Computer Science)) In software testing domain, different techniques and approaches are used to support the process of regression testing in an effective way. The main approaches include test case minimization, test case selection, and test case prioritization. Test case prioritization techniques improve the performance of regression testing by arranging test cases in such a way that maximize fault detection could be achieved in a shorter time. However, the problems for web testing are the timing for executing test cases and the number of fault detected. The aim of this study is to increase the effectiveness of test case prioritization by proposing an approach that could detect faults earlier at a shorter execution time. This research proposed an approach comprising two models: Hybrid Static Criteria Model (HSCM) and Dynamic Weighting Static Criteria Model (DWSCM). Each model applied three criteria: most common HTTP requests in pages, length of HTTP request chains, and dependency of HTTP requests. These criteria are used to prioritize test cases for web application regression testing. The proposed HSCM utilized clustering technique to group test cases. A hybridized technique was proposed to prioritize test cases by relying on assigned test case priorities from the combination of aforementioned criteria. A dynamic weighting scheme of criteria for prioritizing test cases was used to increase fault detection rate. The findings revealed that, the models comprising enhanced of Average Percentage Fault Detection (APFD), yielded the highest APFD of 98% in DWSCM and 87% in HSCM, which have led to improve effectiveness prioritization models. The findings confirmed the ability of the proposed techniques in improving web application regression testing. Faculty of Engineering - School of Computing 2024-02-14T07:56:27Z 2024-02-14T07:56:27Z 2018 Thesis Dataset http://openscience.utm.my/handle/123456789/982 en application/pdf application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Web applications—Development Computer software—Testing Regression analysis Nejad, Mojtaba Raeisi Hybrid and dynamic static criteria models for test case prioritization of web application regression testing |
| title | Hybrid and dynamic static criteria models for test case prioritization of web application regression testing |
| title_full | Hybrid and dynamic static criteria models for test case prioritization of web application regression testing |
| title_fullStr | Hybrid and dynamic static criteria models for test case prioritization of web application regression testing |
| title_full_unstemmed | Hybrid and dynamic static criteria models for test case prioritization of web application regression testing |
| title_short | Hybrid and dynamic static criteria models for test case prioritization of web application regression testing |
| title_sort | hybrid and dynamic static criteria models for test case prioritization of web application regression testing |
| topic | Web applications—Development Computer software—Testing Regression analysis |
| url | http://openscience.utm.my/handle/123456789/982 |
| work_keys_str_mv | AT nejadmojtabaraeisi hybridanddynamicstaticcriteriamodelsfortestcaseprioritizationofwebapplicationregressiontesting |