{"title":"Textual views of source code to support comprehension","authors":"Anthony Cox, M. Collard","doi":"10.1109/WPC.2005.49","DOIUrl":null,"url":null,"abstract":"Source code can be viewed in many ways, with each view facilitating access to different information contained within the code. We explore the role that marked-up textual views can provide in support of software comprehension and maintenance. Text has the advantages of being easily communicated, effectively manipulated with existing tools, and highly scalable. Furthermore, marked-up text models may improve comprehension by expressing information directly within the context of maintainers' focus - the source code they are manipulating. The session intends to explore the expressibility of marked-up text and its applicability in support of program comprehension tasks. Topics will include: the roles these models fulfill, their limitations, their combination, and the exploration of future research directions.","PeriodicalId":421860,"journal":{"name":"13th International Workshop on Program Comprehension (IWPC'05)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"13th International Workshop on Program Comprehension (IWPC'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WPC.2005.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Source code can be viewed in many ways, with each view facilitating access to different information contained within the code. We explore the role that marked-up textual views can provide in support of software comprehension and maintenance. Text has the advantages of being easily communicated, effectively manipulated with existing tools, and highly scalable. Furthermore, marked-up text models may improve comprehension by expressing information directly within the context of maintainers' focus - the source code they are manipulating. The session intends to explore the expressibility of marked-up text and its applicability in support of program comprehension tasks. Topics will include: the roles these models fulfill, their limitations, their combination, and the exploration of future research directions.