乐胖代购免代理版

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Besides, the number of distinct Android devices reached thousands. This challenged the development of universally accepted test applications that can run on all devices. This paper focuses on the development of a new mobile game testing framework, referred to, MAuto<\/jats:italic>. MAuto records the user actions in the game and replays the tests on any Android device. MAuto uses image recognition, through AKAZE features, to record the test cases and the Appium framework to replay the user actions automatically. The feasibility of the developed tool has been demonstrated through testing on the Clash of Clans mobile game.<\/jats:p>","DOI":"10.1007\/s40869-019-00087-z","type":"journal-article","created":{"date-parts":[[2019,10,19]],"date-time":"2019-10-19T15:39:07Z","timestamp":1571499547000},"page":"215-239","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["MAuto: Automatic Mobile Game Testing Tool Using Image-Matching Based Approach"],"prefix":"10.1007","volume":"8","author":[{"given":"J.","family":"Tuovenen","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4422-8723","authenticated-orcid":false,"given":"M.","family":"Oussalah","sequence":"additional","affiliation":[]},{"given":"P.","family":"Kostakos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,19]]},"reference":[{"key":"87_CR1","doi-asserted-by":"crossref","unstructured":"Adamsen, C. 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