{"title":"软件可视化的三级系统文献综述","authors":"Laure Bedu, Olivier Tinh, Fábio Petrillo","doi":"10.1109/VISSOFT.2019.00013","DOIUrl":null,"url":null,"abstract":"Software visualization (SV) allows us to visualize different aspects and artifacts related to software, thus helping engineers understanding its underlying design and functionalities in a more efficient and faster way. In this paper, we conducted a tertiary systematic literature review to identify, classify, and evaluate the current state of the art on software visualization from 48 software visualization secondary studies, following three perspectives: publication trends, software visualization topics and techniques, and issues related to research field. Hence, we summarized the main findings among popular sub-fields of SV, identifying potential research directions and fifteen shared recommendations for developers, instructors and researchers. Our main findings are the lack of rigorous evaluation or theories support to assess SV tools effectiveness, the disconnection between tool design and their scope, and the dispersal of the research community.","PeriodicalId":375862,"journal":{"name":"2019 Working Conference on Software Visualization (VISSOFT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A Tertiary Systematic Literature Review on Software Visualization\",\"authors\":\"Laure Bedu, Olivier Tinh, Fábio Petrillo\",\"doi\":\"10.1109/VISSOFT.2019.00013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software visualization (SV) allows us to visualize different aspects and artifacts related to software, thus helping engineers understanding its underlying design and functionalities in a more efficient and faster way. In this paper, we conducted a tertiary systematic literature review to identify, classify, and evaluate the current state of the art on software visualization from 48 software visualization secondary studies, following three perspectives: publication trends, software visualization topics and techniques, and issues related to research field. Hence, we summarized the main findings among popular sub-fields of SV, identifying potential research directions and fifteen shared recommendations for developers, instructors and researchers. Our main findings are the lack of rigorous evaluation or theories support to assess SV tools effectiveness, the disconnection between tool design and their scope, and the dispersal of the research community.\",\"PeriodicalId\":375862,\"journal\":{\"name\":\"2019 Working Conference on Software Visualization (VISSOFT)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Working Conference on Software Visualization (VISSOFT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VISSOFT.2019.00013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Working Conference on Software Visualization (VISSOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISSOFT.2019.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Tertiary Systematic Literature Review on Software Visualization
Software visualization (SV) allows us to visualize different aspects and artifacts related to software, thus helping engineers understanding its underlying design and functionalities in a more efficient and faster way. In this paper, we conducted a tertiary systematic literature review to identify, classify, and evaluate the current state of the art on software visualization from 48 software visualization secondary studies, following three perspectives: publication trends, software visualization topics and techniques, and issues related to research field. Hence, we summarized the main findings among popular sub-fields of SV, identifying potential research directions and fifteen shared recommendations for developers, instructors and researchers. Our main findings are the lack of rigorous evaluation or theories support to assess SV tools effectiveness, the disconnection between tool design and their scope, and the dispersal of the research community.