Reproducing Bugs in Video Games using Genetic Algorithms

T. Ahumada, Alexandre Bergel
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引用次数: 3

Abstract

Video games are usually manually tested by a dedicated team. As such, testing is an expensive activity, both financial and emotional as most of the testing is mostly carried out before a release. This paper proposes a technique based on using Genetic Algorithm (GA) to reproduce bugs in video games. It consists in searching for a sequence of joystick and keyboard actions that lead to a faulty state of the game. We successfully applied our technique on two different video games, thus suggesting that using GA is a viable technique to reproduce bugs in video games.
利用遗传算法重现电子游戏中的漏洞
电子游戏通常由专门的团队手工测试。因此,测试是一项昂贵的活动,无论是经济上还是情感上,因为大多数测试都是在发布之前进行的。本文提出了一种基于遗传算法的电子游戏bug再现技术。它包括搜索导致游戏出现错误状态的操纵杆和键盘操作序列。我们成功地将这种技术应用于两款不同的电子游戏,从而表明使用遗传算法是一种重现电子游戏漏洞的可行技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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