Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883028
Tanjila Kanij, Robert G. Merkel, J. Grundy
The broad domain of software testing includes different job responsibilities such as creating test plans, devising and running a variety of tests, documenting results, to liaising between different development teams. In this paper, we attempt to collate a list of software testing job responsibilities by applying three different social research methodologies to collect information from different sources. We found that “test” specific responsibilities are divided into several unit tasks including test suite generation, execution of test plans, and so on. We also found that along with test specific responsibilities, software testers must perform a number of other tasks common to other IT professionals in order to carry out their roles.
{"title":"An empirical study to review and revise job responsibilities of software testers","authors":"Tanjila Kanij, Robert G. Merkel, J. Grundy","doi":"10.1109/VLHCC.2014.6883028","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883028","url":null,"abstract":"The broad domain of software testing includes different job responsibilities such as creating test plans, devising and running a variety of tests, documenting results, to liaising between different development teams. In this paper, we attempt to collate a list of software testing job responsibilities by applying three different social research methodologies to collect information from different sources. We found that “test” specific responsibilities are divided into several unit tasks including test suite generation, execution of test plans, and so on. We also found that along with test specific responsibilities, software testers must perform a number of other tasks common to other IT professionals in order to carry out their roles.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126096151","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883019
C. Schulze, R. V. Hanxleden
Visual languages based on node-link diagrams are widely used for systems modeling. As in textual languages, comments can make diagrams easier to understand. In the absence of an explicit attachment between comments and the diagram elements they relate to, that relationship is usually given implicitly by the manual placement of comments near the related elements. While algorithms for the automatic layout of diagrams can make working with diagrams more effective, they usually fail to preserve implicit attachments by placing comments at arbitrary positions. In this paper, we propose a comment attachment algorithm that extracts implicit attachments and makes them accessible to layout algorithms. We implemented the algorithm in an application for browsing Ptolemy diagrams and achieved success rates, i. e. attachments as intended by the user, of up to 90 %.
{"title":"Automatic layout in the face of unattached comments","authors":"C. Schulze, R. V. Hanxleden","doi":"10.1109/VLHCC.2014.6883019","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883019","url":null,"abstract":"Visual languages based on node-link diagrams are widely used for systems modeling. As in textual languages, comments can make diagrams easier to understand. In the absence of an explicit attachment between comments and the diagram elements they relate to, that relationship is usually given implicitly by the manual placement of comments near the related elements. While algorithms for the automatic layout of diagrams can make working with diagrams more effective, they usually fail to preserve implicit attachments by placing comments at arbitrary positions. In this paper, we propose a comment attachment algorithm that extracts implicit attachments and makes them accessible to layout algorithms. We implemented the algorithm in an application for browsing Ptolemy diagrams and achieved success rates, i. e. attachments as intended by the user, of up to 90 %.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114888700","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883063
Mithileysh Sathiyanarayanan, Gem Stapleton, Jim Burton, J. Howse
Euler diagrams and graphs are used as visualisations individually in a large variety of application areas such as network analysis, medicine and engineering. Existing methods which combine both Euler diagrams and graphs such as Bubble Sets and Euler View provide somewhat limited results with suboptimal layout. In particular, they do not produce diagrams that are known to be most effective for performing user-driven tasks. That said, our knowledge is rather limited about what constitutes an effective layout for Euler diagrams and graphs in combination. Our ultimate aim is to automatically visualise large networks in an effective manner. To produce effective layouts, we need to identify properties that may correlate with effective layouts of Euler diagrams combined with graphs. Such properties are considered in this paper. In future, empirical studies will be conducted to inform and validate the combined properties.
{"title":"Properties of euler diagrams and graphs in combination","authors":"Mithileysh Sathiyanarayanan, Gem Stapleton, Jim Burton, J. Howse","doi":"10.1109/VLHCC.2014.6883063","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883063","url":null,"abstract":"Euler diagrams and graphs are used as visualisations individually in a large variety of application areas such as network analysis, medicine and engineering. Existing methods which combine both Euler diagrams and graphs such as Bubble Sets and Euler View provide somewhat limited results with suboptimal layout. In particular, they do not produce diagrams that are known to be most effective for performing user-driven tasks. That said, our knowledge is rather limited about what constitutes an effective layout for Euler diagrams and graphs in combination. Our ultimate aim is to automatically visualise large networks in an effective manner. To produce effective layouts, we need to identify properties that may correlate with effective layouts of Euler diagrams combined with graphs. Such properties are considered in this paper. In future, empirical studies will be conducted to inform and validate the combined properties.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116592450","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883050
Brittany Johnson
Program analysis tools can help developers produce high quality code by automating time-consuming tasks such as error-finding. Research has shown, however, that these tools are often not used by developers. Results from studies I have conducted provide insights into the difficulties programmers may encounter when using program analysis tools, leading to lower productivity and desire to use them. Based on these findings, my dissertation will research improving program analysis tools by enhancing tool intelligence with a programmer model that adapts notifications to programmers based on their experience with the concepts relevant to the notification.
{"title":"Enhancing tools' intelligence for improved program analysis tool usability","authors":"Brittany Johnson","doi":"10.1109/VLHCC.2014.6883050","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883050","url":null,"abstract":"Program analysis tools can help developers produce high quality code by automating time-consuming tasks such as error-finding. Research has shown, however, that these tools are often not used by developers. Results from studies I have conducted provide insights into the difficulties programmers may encounter when using program analysis tools, leading to lower productivity and desire to use them. Based on these findings, my dissertation will research improving program analysis tools by enhancing tool intelligence with a programmer model that adapts notifications to programmers based on their experience with the concepts relevant to the notification.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115943135","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883052
Karl Smeltzer
Improvements in computer technology have spawned an exponential growth in both the scope and volume of data collection, as well as a corresponding shortage of capable analysts. This applies not just to scientists, but also to consumers who are gaining unprecedented access to data from their cars, homes, phones, and other devices. Meanwhile, visualization has emerged as an effective tool for exploring and gathering insight from large quantities of data. However, constructing effective visualizations is often difficult, and current tools often lack either the flexibility to extend to custom problem domains or else require low-level graphics programming expertise to generate even simple visualizations. Furthermore, most solutions are ad hoc, preventing users from transforming and evolving visualizations, instead forcing them into a rigid, linear workflow. One possible approach to solving these problems is through the definition of a domain-specific language (DSL). This approach offers a number of potential advantages, the most immediate being flexibility. A visualization DSL could support multiple levels of abstraction at once, each of which could be targeted at different user needs and expertise levels. This, in turn, could allow users with varying levels of expertise to make use of the abstraction layers they find most appropriate, and support the creation of simple and common visualizations without sacrificing the option for more detailed control when necessary. This layering could also allow implementation details to be hidden when desired. Pixel position information, for example, could be hidden behind a scalable and unitless environment which would allow the user to place and size visualization components in relation to one another.
{"title":"A language for visualization variation and transformation","authors":"Karl Smeltzer","doi":"10.1109/VLHCC.2014.6883052","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883052","url":null,"abstract":"Improvements in computer technology have spawned an exponential growth in both the scope and volume of data collection, as well as a corresponding shortage of capable analysts. This applies not just to scientists, but also to consumers who are gaining unprecedented access to data from their cars, homes, phones, and other devices. Meanwhile, visualization has emerged as an effective tool for exploring and gathering insight from large quantities of data. However, constructing effective visualizations is often difficult, and current tools often lack either the flexibility to extend to custom problem domains or else require low-level graphics programming expertise to generate even simple visualizations. Furthermore, most solutions are ad hoc, preventing users from transforming and evolving visualizations, instead forcing them into a rigid, linear workflow. One possible approach to solving these problems is through the definition of a domain-specific language (DSL). This approach offers a number of potential advantages, the most immediate being flexibility. A visualization DSL could support multiple levels of abstraction at once, each of which could be targeted at different user needs and expertise levels. This, in turn, could allow users with varying levels of expertise to make use of the abstraction layers they find most appropriate, and support the creation of simple and common visualizations without sacrificing the option for more detailed control when necessary. This layering could also allow implementation details to be hidden when desired. Pixel position information, for example, could be hidden behind a scalable and unitless environment which would allow the user to place and size visualization components in relation to one another.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132438372","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883059
Bennett Kankuzi, J. Sajaniemi
Earlier research on spreadsheet authors' mental models has shown that people possess several types of information about spreadsheets. The research results also suggested that a tool intended to aid in comprehension and debugging of spreadsheets should make prominent real-world and problem domain concepts and map them easily to spreadsheet-specific details. This poster introduces a new spreadsheet visualization tool which was developed to demonstrate that it is possible to have an easy-to-use spreadsheet understanding and debugging tool that relieves users from spreadsheet details and lets them utilize more of their mental model of the application domain. The tool translates traditional spreadsheet formulas into problem domain narratives and highlights referenced cells.
{"title":"A domain terms visualization tool for spreadsheets","authors":"Bennett Kankuzi, J. Sajaniemi","doi":"10.1109/VLHCC.2014.6883059","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883059","url":null,"abstract":"Earlier research on spreadsheet authors' mental models has shown that people possess several types of information about spreadsheets. The research results also suggested that a tool intended to aid in comprehension and debugging of spreadsheets should make prominent real-world and problem domain concepts and map them easily to spreadsheet-specific details. This poster introduces a new spreadsheet visualization tool which was developed to demonstrate that it is possible to have an easy-to-use spreadsheet understanding and debugging tool that relieves users from spreadsheet details and lets them utilize more of their mental model of the application domain. The tool translates traditional spreadsheet formulas into problem domain narratives and highlights referenced cells.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132583315","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883054
Iman Avazpour, Ulf Rüegg, J. Grundy
The CONcrete Visual assistEd Transformation (CONVErT) framework provides facilities to generate reusable notations and compose them to form a wide variety of visualisations. With an increased number of notations in large scale visualisations, it is crucial to use advanced layout algorithms to improve understandability of such complex visualisations. This showpiece paper demonstrates how advanced layout algorithms can be integrated into the notation specifications of CONVErT to generate layouts of complex visualisations.
{"title":"Convert meets KIELER: Integrating advanced layout algorithms into by-example visualisations","authors":"Iman Avazpour, Ulf Rüegg, J. Grundy","doi":"10.1109/VLHCC.2014.6883054","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883054","url":null,"abstract":"The CONcrete Visual assistEd Transformation (CONVErT) framework provides facilities to generate reusable notations and compose them to form a wide variety of visualisations. With an increased number of notations in large scale visualisations, it is crucial to use advanced layout algorithms to improve understandability of such complex visualisations. This showpiece paper demonstrates how advanced layout algorithms can be integrated into the notation specifications of CONVErT to generate layouts of complex visualisations.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124754743","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883067
Youngseok Yoon, B. Myers
Programmers often need to backtrack, but backtracking support in modern programming environments is limited. Previously, we have conducted a series of studies, which discovered that backtracking in programming is in fact prevalent and programmers need better backtracking tools. In this demonstration, we will present our backtracking tool called AZURITE, which provides selective undo and history search and visualization features in the Eclipse code editor. The demonstration will include the user interface presented in our previous work, as well as the new features added in response to user feedback.
{"title":"A demonstration of AZURITE: Backtracking tool for programmers","authors":"Youngseok Yoon, B. Myers","doi":"10.1109/VLHCC.2014.6883067","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883067","url":null,"abstract":"Programmers often need to backtrack, but backtracking support in modern programming environments is limited. Previously, we have conducted a series of studies, which discovered that backtracking in programming is in fact prevalent and programmers need better backtracking tools. In this demonstration, we will present our backtracking tool called AZURITE, which provides selective undo and history search and visualization features in the Eclipse code editor. The demonstration will include the user interface presented in our previous work, as well as the new features added in response to user feedback.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131294886","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883025
Xi Ge, D. Shepherd, Kostadin Damevski, E. Murphy-Hill
Developers often start programming tasks by searching for relevant code in their local codebase. Previous research suggests that 88% of manually-composed queries retrieve no relevant results. Many searches fail because existing search tools depend solely on string matching with a manually-composed query, which cannot find semantically-related code. To solve this problem, researchers proposed query recommendation techniques to help developers compose queries without the extensive knowledge of the codebase under search. However, few of these techniques are empirically evaluated by the usage data from real-world developers. To fill this gap, we studied several query recommendation techniques by extending Sando and conducting a longitudinal field study. Our study shows that over 30% of all queries were adopted from recommendation; and recommended queries retrieved results 7% more often than manual queries.
{"title":"How developers use multi-recommendation system in local code search","authors":"Xi Ge, D. Shepherd, Kostadin Damevski, E. Murphy-Hill","doi":"10.1109/VLHCC.2014.6883025","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883025","url":null,"abstract":"Developers often start programming tasks by searching for relevant code in their local codebase. Previous research suggests that 88% of manually-composed queries retrieve no relevant results. Many searches fail because existing search tools depend solely on string matching with a manually-composed query, which cannot find semantically-related code. To solve this problem, researchers proposed query recommendation techniques to help developers compose queries without the extensive knowledge of the codebase under search. However, few of these techniques are empirically evaluated by the usage data from real-world developers. To fill this gap, we studied several query recommendation techniques by extending Sando and conducting a longitudinal field study. Our study shows that over 30% of all queries were adopted from recommendation; and recommended queries retrieved results 7% more often than manual queries.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122219357","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}
Pub Date : 2014-08-28DOI: 10.1109/VLHCC.2014.6883040
Bennett Kankuzi, J. Sajaniemi
Earlier research on spreadsheet authors' mental models has shown that people possess several types of information about spreadsheets. Especially, when explaining a spreadsheet, the real-world and domain mental models are prominent and the spreadsheet model is suppressed, but when locating and fixing an error, one must constantly switch back and forth between the domain model and the spreadsheet model, which requires frequent use of the mapping between problem domain concepts and their spreadsheet model counterparts. This paper introduces a new spreadsheet visualization tool and its empirical evaluation. The tool translates traditional spreadsheet formulas into problem domain narratives and highlights referenced cells. The tool was found to be easy to learn and helped the participants to locate more errors in spreadsheets. Furthermore, the tool increased the use of the domain mental model and appeared to improve the mapping between the spreadsheet model and the domain model.
{"title":"Visualizing the problem domain for spreadsheet users: A mental model perspective","authors":"Bennett Kankuzi, J. Sajaniemi","doi":"10.1109/VLHCC.2014.6883040","DOIUrl":"https://doi.org/10.1109/VLHCC.2014.6883040","url":null,"abstract":"Earlier research on spreadsheet authors' mental models has shown that people possess several types of information about spreadsheets. Especially, when explaining a spreadsheet, the real-world and domain mental models are prominent and the spreadsheet model is suppressed, but when locating and fixing an error, one must constantly switch back and forth between the domain model and the spreadsheet model, which requires frequent use of the mapping between problem domain concepts and their spreadsheet model counterparts. This paper introduces a new spreadsheet visualization tool and its empirical evaluation. The tool translates traditional spreadsheet formulas into problem domain narratives and highlights referenced cells. The tool was found to be easy to learn and helped the participants to locate more errors in spreadsheets. Furthermore, the tool increased the use of the domain mental model and appeared to improve the mapping between the spreadsheet model and the domain model.","PeriodicalId":165006,"journal":{"name":"2014 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130147113","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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