Graphs are commonly used to visually represent software dependencies. However, adequately visualizing software dependencies as a graph is a non-trivial problem due to the pluridimentional nature of software. We have designed a domain-specific language for visualizing software dependencies as graphs that is both expressive and concise. GRAPH, the implementation of our DSL, features a seamless mapping between visual dimensions to software metrics, composition of graph layouts, graph partition, and hierarchical bundle edges.
{"title":"A Domain-Specific Language for Visualizing Software Dependencies as a Graph","authors":"Alexandre Bergel, Sergio Maass, Stéphane Ducasse, Tudor Gîrba","doi":"10.1109/VISSOFT.2014.17","DOIUrl":"https://doi.org/10.1109/VISSOFT.2014.17","url":null,"abstract":"Graphs are commonly used to visually represent software dependencies. However, adequately visualizing software dependencies as a graph is a non-trivial problem due to the pluridimentional nature of software. We have designed a domain-specific language for visualizing software dependencies as graphs that is both expressive and concise. GRAPH, the implementation of our DSL, features a seamless mapping between visual dimensions to software metrics, composition of graph layouts, graph partition, and hierarchical bundle edges.","PeriodicalId":120482,"journal":{"name":"2014 Second IEEE Working Conference on Software Visualization","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117350617","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}
Abderrahmane Seriai, Omar Benomar, Benjamin Cérat, H. Sahraoui
Software visualization as a research field focuses on the visualization of the structure, behavior, and evolution of software. It studies techniques and methods for graphically representing these different aspects of software. Interest in software visualization has grown in recent years, producing rapid advances in the diversity of research and in the scope of proposed techniques, and aiding the application experts who use these techniques to advance their own research. Despite the importance of evaluating software visualization research, there is little work studying validation methods. As a consequence, it is usually difficult producing compelling evidence about the effectiveness of software visualization contributions. The goal of this paper is to study the validation techniques performed in the software visualization literature. We conducted a systematic mapping study of validation methods in software visualization. We consider 752 articles from multiple sources, published between 2000 and 2012, and study the validation techniques of the software visualization articles. The main outcome of this study is the lack in rigor when validating software visualization tool and techniques. Although software visualization has grown in interest in the last decade, it still lacks the necessary maturity to be properly and thoroughly evaluating its claims. Most article evaluations studied in this paper are qualitative case studies, including discussions about the benefits of the proposed visualizations. The results help understand the needs in software visualization validation techniques. They identify the type of evaluations that should be performed to address this deficiency. The specific analysis of SOFTVIS series articles shows that the specialized conference suffers from the same shortage.
{"title":"Validation of Software Visualization Tools: A Systematic Mapping Study","authors":"Abderrahmane Seriai, Omar Benomar, Benjamin Cérat, H. Sahraoui","doi":"10.1109/VISSOFT.2014.19","DOIUrl":"https://doi.org/10.1109/VISSOFT.2014.19","url":null,"abstract":"Software visualization as a research field focuses on the visualization of the structure, behavior, and evolution of software. It studies techniques and methods for graphically representing these different aspects of software. Interest in software visualization has grown in recent years, producing rapid advances in the diversity of research and in the scope of proposed techniques, and aiding the application experts who use these techniques to advance their own research. Despite the importance of evaluating software visualization research, there is little work studying validation methods. As a consequence, it is usually difficult producing compelling evidence about the effectiveness of software visualization contributions. The goal of this paper is to study the validation techniques performed in the software visualization literature. We conducted a systematic mapping study of validation methods in software visualization. We consider 752 articles from multiple sources, published between 2000 and 2012, and study the validation techniques of the software visualization articles. The main outcome of this study is the lack in rigor when validating software visualization tool and techniques. Although software visualization has grown in interest in the last decade, it still lacks the necessary maturity to be properly and thoroughly evaluating its claims. Most article evaluations studied in this paper are qualitative case studies, including discussions about the benefits of the proposed visualizations. The results help understand the needs in software visualization validation techniques. They identify the type of evaluations that should be performed to address this deficiency. The specific analysis of SOFTVIS series articles shows that the specialized conference suffers from the same shortage.","PeriodicalId":120482,"journal":{"name":"2014 Second IEEE Working Conference on Software Visualization","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126728157","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}
Titus Barik, Kevin Lubick, S. Christie V, E. Murphy-Hill
Self-explanation is one cognitive strategy through which developers comprehend error notifications. Self-explanation, when left solely to developers, can result in a significant loss of productivity because humans are imperfect and bounded in their cognitive abilities. We argue that modern IDEs offer limited visual affordances for aiding developers with self-explanation, because compilers do not reveal their reasoning about the causes of errors to the developer. The contribution of our paper is a foundational set of visual annotations that aid developers in better comprehending error messages when compilers expose their internal reasoning. We demonstrate through a user study of 28 undergraduate Software Engineering students that our annotations align with the way in which developers self-explain error notifications. We show that these annotations allow developers to give significantly better self-explanations when compared against today's dominant visualization paradigm, and that better self-explanations yield better mental models of notifications. The results of our work suggest that the diagrammatic techniques developers use to explain problems can serve as an effective foundation for how IDEs should visually communicate to developers.
{"title":"How Developers Visualize Compiler Messages: A Foundational Approach to Notification Construction","authors":"Titus Barik, Kevin Lubick, S. Christie V, E. Murphy-Hill","doi":"10.1109/VISSOFT.2014.24","DOIUrl":"https://doi.org/10.1109/VISSOFT.2014.24","url":null,"abstract":"Self-explanation is one cognitive strategy through which developers comprehend error notifications. Self-explanation, when left solely to developers, can result in a significant loss of productivity because humans are imperfect and bounded in their cognitive abilities. We argue that modern IDEs offer limited visual affordances for aiding developers with self-explanation, because compilers do not reveal their reasoning about the causes of errors to the developer. The contribution of our paper is a foundational set of visual annotations that aid developers in better comprehending error messages when compilers expose their internal reasoning. We demonstrate through a user study of 28 undergraduate Software Engineering students that our annotations align with the way in which developers self-explain error notifications. We show that these annotations allow developers to give significantly better self-explanations when compared against today's dominant visualization paradigm, and that better self-explanations yield better mental models of notifications. The results of our work suggest that the diagrammatic techniques developers use to explain problems can serve as an effective foundation for how IDEs should visually communicate to developers.","PeriodicalId":120482,"journal":{"name":"2014 Second IEEE Working Conference on Software Visualization","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134449707","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}
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