Open AccessImproving the Quality of Gaming Apps After Testing using Genetic Algorithm
Author(s) -
Rijwan Khan,
Pawan Kumar Sharma,
Akhilesh Kumar Srivastava
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c5576.029320
Subject(s) - computer science , worry , quality (philosophy) , software quality , software , android (operating system) , cheating , field (mathematics) , process (computing) , multimedia , software development , psychology , social psychology , anxiety , philosophy , mathematics , epistemology , psychiatry , pure mathematics , programming language , operating system
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 It has always been a worry about the skills and knowledge becoming outdated in a flash.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.