{"title":"海报:通过利用开发人员的活动发现代码依赖关系","authors":"Martin Konopka, P. Návrat, M. Bieliková","doi":"10.1109/ICSE.2015.255","DOIUrl":null,"url":null,"abstract":"Monitoring software developer's interactions in an integrated development environment is sought for revealing new information about developers and developed software. In this paper we present an approach for identifying potential source code dependencies solely from interaction data. We identify three kinds of potential dependencies and additionally assign them to developer's activity as well, to reveal detailed task-related connections in the source code. Interaction data as a source allow us to identify these candidates for dependencies even for dynamically typed programming languages, or across multiple languages in the source code. After first evaluations and positive results we continue with collecting data in professional environment of Web developers, and evaluating our approach.","PeriodicalId":330487,"journal":{"name":"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Poster: Discovering Code Dependencies by Harnessing Developer's Activity\",\"authors\":\"Martin Konopka, P. Návrat, M. Bieliková\",\"doi\":\"10.1109/ICSE.2015.255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Monitoring software developer's interactions in an integrated development environment is sought for revealing new information about developers and developed software. In this paper we present an approach for identifying potential source code dependencies solely from interaction data. We identify three kinds of potential dependencies and additionally assign them to developer's activity as well, to reveal detailed task-related connections in the source code. Interaction data as a source allow us to identify these candidates for dependencies even for dynamically typed programming languages, or across multiple languages in the source code. After first evaluations and positive results we continue with collecting data in professional environment of Web developers, and evaluating our approach.\",\"PeriodicalId\":330487,\"journal\":{\"name\":\"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSE.2015.255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE/ACM 37th IEEE International Conference on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE.2015.255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: Discovering Code Dependencies by Harnessing Developer's Activity
Monitoring software developer's interactions in an integrated development environment is sought for revealing new information about developers and developed software. In this paper we present an approach for identifying potential source code dependencies solely from interaction data. We identify three kinds of potential dependencies and additionally assign them to developer's activity as well, to reveal detailed task-related connections in the source code. Interaction data as a source allow us to identify these candidates for dependencies even for dynamically typed programming languages, or across multiple languages in the source code. After first evaluations and positive results we continue with collecting data in professional environment of Web developers, and evaluating our approach.
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