{"title":"Creating Socio-Technical Patches for Information Foraging: A Requirements Traceability Case Study","authors":"Darius Cepulis, Nan Niu","doi":"10.1109/VLHCC.2018.8506526","DOIUrl":null,"url":null,"abstract":"Work in information foraging theory presumes that software developers have a predefined patch of information (e.g., a Java class) within which they conduct a search task. However, not all tasks have easily delineated patches. Requirements traceability, where a developer must traverse a combination of technical artifacts and social structures, is one such task. We examine requirements socio-technical graphs to describe the key relationships that a patch should encode to assist in a requirements traceability task. We then present an algorithm, based on spreading activation, which extracts a relevant set of these relationships as a patch. We test this algorithm in requirements repositories of four open-source software projects. Our results show that applying this algorithm creates useful patches with reduced superfluous information.","PeriodicalId":444336,"journal":{"name":"2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"34 19","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLHCC.2018.8506526","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Work in information foraging theory presumes that software developers have a predefined patch of information (e.g., a Java class) within which they conduct a search task. However, not all tasks have easily delineated patches. Requirements traceability, where a developer must traverse a combination of technical artifacts and social structures, is one such task. We examine requirements socio-technical graphs to describe the key relationships that a patch should encode to assist in a requirements traceability task. We then present an algorithm, based on spreading activation, which extracts a relevant set of these relationships as a patch. We test this algorithm in requirements repositories of four open-source software projects. Our results show that applying this algorithm creates useful patches with reduced superfluous information.
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