{"title":"利用遗传算法重现电子游戏中的漏洞","authors":"T. Ahumada, Alexandre Bergel","doi":"10.1109/GMAX49668.2020.9256837","DOIUrl":null,"url":null,"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.","PeriodicalId":286421,"journal":{"name":"2020 IEEE Games, Multimedia, Animation and Multiple Realities Conference (GMAX)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Reproducing Bugs in Video Games using Genetic Algorithms\",\"authors\":\"T. Ahumada, Alexandre Bergel\",\"doi\":\"10.1109/GMAX49668.2020.9256837\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":286421,\"journal\":{\"name\":\"2020 IEEE Games, Multimedia, Animation and Multiple Realities Conference (GMAX)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Games, Multimedia, Animation and Multiple Realities Conference (GMAX)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GMAX49668.2020.9256837\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Games, Multimedia, Animation and Multiple Realities Conference (GMAX)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GMAX49668.2020.9256837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reproducing Bugs in Video Games using Genetic Algorithms
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.