An Experimental Technique for Efficient Selection of Test Case Prioritization Methods
Pritee Hulule1, S. D. Joshi2, A. K. Kadam3, Aditya Sarda4
1Pritee Hulule, 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: 523-525 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H11190688S319/19©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: Test case prioritization techniques agenda test cases to decrease the price of regression testing also to maximize approximately impartial function. Test cases are prioritized so that the test cases that are greatest significant rendering to sure standards are achieved first in the regression test procedure. Despite this, assessors usually wish only a few known techniques for prioritizing test cases. The main aim overdue this is the absence of strategies to choose TCP techniques. There are many methods in the literature that emphasis on attaining many test objectives in the initial phases of the procedure and, so, decrease their price. The influence to this paper limit is additional that is period. Therefore, this portion of the exploration presents a new approach to classify TCP techniques using fuzzy logic to provision the well-organized assortment of test case prioritization techniques. This effort is a postponement of the assortment structure previously planned for the prioritization techniques of test cases.
Keywords: Regression testing, test case prioritization, classification, fuzzy logic
Scope of the Article: Fuzzy Logic