Soccer Team Generation and Analysis System



Lim, Crystal Shian Yee (2016) Soccer Team Generation and Analysis System. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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The soccer team generation and analysis system is a system used to generate and predict the strongest team in the game, FIFA 15. This system would take various factors and analyze it while taking account on the team formation, position of player and various strength of the player. Each player would have different strength and weaknesses. Our system is to use the strength and calculate which position in which team the player will be able to show his full potential. We deliver our system based on Openet’s requirement. Openet is a software vendor with headquarters in Dublin, Ireland and offices worldwide. Openet products are used by telecommunications service providers to commercialize and analyze activity on their network. Known as Openet Telekom Malaysia, Openet also operates locally and has headquarter located in Midvalley Boulevard. Agile Development Methodology was used as a methodology for this system. Agile Development Methodology is one of the most flexible methodology compared to many others especially in comparison with the waterfall methodology. The main testing method is white-box method where we, as developer of the system would test the buttons and keys that developer expect an average end-user would use. This testing method in prototype phase greatly helped us in the development and fixes of the system. The second testing method is black-box method where we’ve asked families and friends who are not in IT field to test out the system with no knowledge before the test. This allow us to find unexpected errors and problems.

Item Type: Final Year Project
Subjects: Science > Computer Science
Geography. Anthropology. Recreation > Recreation Leisure > Games. Computer Games
Technology > Technology (General) > Information technology. Information systems
Faculties: Faculty of Applied Sciences and Computing > Bachelor of Information Systems (Honours) in Enterprise Information Systems
Depositing User: Library Staff
Date Deposited: 08 Aug 2019 03:56
Last Modified: 15 Apr 2022 04:10