A Case Study on Model Based Test Case Prioritization
K. Chakitha1, G. Naveen Kumar2, Ch. Gayathri Reshma3, Y. Aravin Reddy4, V.Navya Reddy5, Subrahmanyam Kodukula6
1Subrahmanyam Kodukula, BTech Students, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
2K.Chakitha, BTech Students, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
3G.Naveen, BTech Students, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
4Ch.Gayathri, BTech Students, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
5Y.Aravin Reddy, BTech Students, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
6V.Navyareddy, Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1239-1242 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3829048619/19©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: Examination prioritization incorporates booking tests with the goal that the execution of programming testing can be his paper, show based investigation prioritization using Memetic figuring, is proposed for giving a generally helpful game plan in prioritization and headway issue which can be used profitably. A model based testing method is exhibited. This methodology can sort out trial using activity diagram and innate estimation. The result shows that using this methodology with Memetic computation (MA) give profitability and precision to test cases.
Keyword: Software Testing-Genetic Algorithm (Base Algorithm), Memetic Algorithm (Derived from GA) Activity Diagram, Hubs and Edges, Target work, Wellness Work, Experiment, SDLC. Prioritization
Scope of the Article: Artificial Intelligent Methods, Models, Techniques