A Survey Novel Approach for Efficient Selection of Test Case Prioritization Techniques
| Vol-3 | Issue-12 | December 2018 | Published Online: 10 December 2018 PDF ( 187 KB ) | ||
| Author(s) | ||
| Pritee Hulule 1; Prof. Dr. S. D Joshi 2; Dr. A. K. Kadam 3 | ||
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1Department of Computer Engineering, Bharati Vidyapeeth Deemed To Be University College of Engineering, Pune (India) 2Department of Computer Engineering, Bharati Vidyapeeth Deemed To Be University College of Engineering, Pune (India) 3Department of Computer Engineering, Bharati Vidyapeeth Deemed To Be University College of Engineering, Pune (India) |
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| Abstract | ||
Test case prioritization techniques schedule test cases to reduce the cost of regression testing and to maximize some objective function. Test cases are prioritized so that the test cases that are most important according to certain criteria are performed first in the regression test process. There are numerous techniques in the literature that focus on achieving various test objectives in the early stages of the process and, therefore, reduce their cost. Despite this, evaluators generally prefer only a few known techniques for prioritizing test cases. The main reason behind this is the lack of guidelines to select TCP techniques. Therefore, this part of the research introduces a new approach to classify TCP techniques using fuzzy logic to support the efficient selection of test case prioritization techniques. This work is an extension of the selection scheme already proposed for the prioritization techniques of test cases. |
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| Keywords | ||
| Regression testing, test case prioritization, classification, fuzzy logic | ||
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