Improving the Quality of Gaming Apps After Testing using Genetic Algorithm
Rijwan Khan1, Pawan Kumar Sharma2, Akhilesh Kumar Srivastava3
1Rijwan Khan*, Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, Affiliated to AKTU Lucknow, India.
2Pawan Kumar Sharma, Department of Applied Science, Krishna Engineering College, Ghaziabad, Affiliated to AKTU Lucknow, India.
3Akhielsh Kumar Srivastava, Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Affiliated to AKTU Lucknow, India.
Manuscript received on May 06, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 1710-1715 | Volume-9 Issue-5, June 2020. | Retrieval Number: C5576029320/2020©BEIESP | DOI: 10.35940/ijeat.C5576.029320
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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: Software testing is a field to insure that delivery of any software or application in android is error free. Education program in Software Engineering aims at imparting skills among the students that focus upon meeting the expectations of the fluctuating needs of the industry. It has always been a worry about the skills and knowledge becoming outdated in a flash. The current article focuses the results and draws on experiences from improving the quality of a computer game after testing process using Genetic Algorithm. The quality of Gamming Apps can improve some areas of an individual like learning ability, problem solving, and sovereign learning and learn by doing. In order to better understand this research authors applied this change to 100 students which shows that they are good learner compare to others. The improved quality of the gamming also give the confidence to the parents that their child will learn in efficient manner.
Keywords: Gaming Apps, Testing, Unit Testing, Genetic Algorithm, Quality Checking.