Test Case Ranking with Rate of Fault Finding
Amruta Magdum1, S. D. Joshi2, A. K. Kadam3, Aditya Sarda4
1Amruta Magdum, Department of Computer Engineering, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India.
2Prof. Dr. S. D Joshi, Department of Computer Engineering, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India.
3Dr. A. K. Kadam, Department of Computer Engineering, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India.
4Mr.Aditya Sarda, Department of Computer Engineering, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India.
Manuscript received on 09 June 2019 | Revised Manuscript received on 14 June 2019 | Manuscript Published on 08 July 2019 | PP: 462-464 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H10490688S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Prioritization of test cases is an important technique in regression testing. Prioritization of test instances based on project implementation flow. Therefore, some efficient methods need to be developed that can improve the efficiency of regression testing by arranging test instances according to some test criterion in an order. The proposed system will do such prioritization in way to enhance a test suite’s fault detection rate. It provides the fresh way to organize test instances that run sooner than reduced greater priority test instances. This paper proposed a new approach to prioritizing regression test cases depends on four parameters and the names of that parameter are the fault detection rate, the number of faults detected, the risk detection capability of the test case and the effectiveness of the test case.
Keywords: Average Percentage of Fault Detected Metric, Fault Detection, Software Testing, Regression Testing; Test Case Prioritization
Scope of the Article: Computer Science and Its Applications