{"title":"Reducing False Positives in Automated OpenCV-based Non-Native GUI Software Testing","authors":"Masato Yamamoto, Evgeny Pyshkin, M. Mozgovoy","doi":"10.1145/3274856.3274865","DOIUrl":"https://doi.org/10.1145/3274856.3274865","url":null,"abstract":"This paper is aimed at improving mobile game non-native GUI testing. We follow an approach to use OpenCV image recognition algorithms for detecting and accessing the hand-drawn GUI elements on the screen, in order to interact with them from within automated test scripts. In the previous work, we experienced the problem that some tests fail not due to the defects of the tested software itself, but because of the false positive results of template matching. It means that the high scores are sometimes elicited for the best match, though the requested GUI element is actually not present on the screen. In this contribution we investigate the possibilities of image filtering in order to reduce the number of such false positive cases. We describe our experiments with two algorithms supported by OpenCV library, a selection of GUI elements and mobile game scenes, and a number of image filtering methods. We demonstrate that using Canny edge detection filters can significantly improve the accuracy of recognizing false positive cases without affecting the true positive situations. Our conclusions can be helpful for improving hand-drawn GUI based mobile software testing reliability.","PeriodicalId":373840,"journal":{"name":"Proceedings of the 3rd International Conference on Applications in Information Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131653698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Languages and cognition: towards new CALL","authors":"N. Bogach","doi":"10.1145/3274856.3274859","DOIUrl":"https://doi.org/10.1145/3274856.3274859","url":null,"abstract":"We address cognitive models and prototype theory in context of foreign language learning and examine some ideas that seem to favour Computer-assisted language learning tools (CALL tools) evolution alongside we present a software prototype of a learning environment where prosody and intonation are primary learning goals. Project methodology uses phrasal intonation contour as an item at basic level of categorization. Thus, CALL is not limited to mere digitalization of learning process by transferring traditional techniques of managing language-related data with the use of computers but creates totally new use cases that are aimed to overcome formerly infeasible challenges in language teaching and learning.","PeriodicalId":373840,"journal":{"name":"Proceedings of the 3rd International Conference on Applications in Information Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126453633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Model of Time Series as a Piecewise-Stationary Process","authors":"N. Ivanov, A. Prasolov","doi":"10.1145/3274856.3274888","DOIUrl":"https://doi.org/10.1145/3274856.3274888","url":null,"abstract":"This work is devoted to determining the space-time area that contains a time-series trend to address mathematical expectations. A time series trajectory represents the realization of a stochastic process in discrete time; thus, its approximation is random and cannot be considered a trend valuation. We offer to interpret an arbitrary time series as a trajectory of a piecewise-stationary process. This allows for us to describe an algorithm that constructs the area where the trend is located.","PeriodicalId":373840,"journal":{"name":"Proceedings of the 3rd International Conference on Applications in Information Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115437394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}