Requirements of Software Visualization Tools: A Literature Survey

Kienle, Holger M.; Müller, Hausi A.

doi:10.1109/vissof.2007.4290693

Cited by 46 publications

(28 citation statements)

References 56 publications

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“…ACM SOFTVIS, IEEE VISSOFT, MSR, ICPC, WCRE, ICSE, and CSMR, building useful and used tools is difficult. Reasons cited for this include the small return-on-investment and recognition of tools in academia (as opposed to papers), high maintenance cost, and high ratio of infrastructure-to-novelty (truly usable tools need fine-tuned implementations, help modules, and platform-independence, while research prototypes can focus on novelty) [5,3,32,33]. Combining analysis and visualization in one tool makes development only more complex, so good design patterns and guidelines are essential.…”

Section: Related Workmentioning

confidence: 99%

“…This does not imply that such additional visualizations are not useful for specific use-cases, but it does support the hypothesis that general structure-and-metric comprehension of large code bases at a fine grained level is well supported by the techniques currently present in out toolset. [89,58,49] or test a tool vs a requirements set [32,74]. Technical aspects e.g.…”

Section: Are There Any Useful Tool Building Patterns For Software Engmentioning

confidence: 99%

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The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Reniers

Voinea

Ersoy

et al. 2014

Science of Computer Programming

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Software visual analytics (SVA) tools combine static program analysis and fact extraction with information visualization to support program comprehension. However, building efficient and effective SVA tools is highly challenging, as it involves extensive software development in program analysis, graphics, information visualization, and interaction. We present a SVA toolset for software maintenance, and detail two of its components which target software structure, metrics and code duplication. We illustrate the toolset's usage for constructing software visualizations with examples in education, research, and industrial contexts. We discuss the design evolution from research prototypes to integrated, scalable, and easy-to-use products, and present several guidelines for the development of efficient and effective SVA solutions.

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Section: Related Workmentioning

confidence: 99%

Section: Are There Any Useful Tool Building Patterns For Software Engmentioning

confidence: 99%

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

Reniers

Voinea

Ersoy

et al. 2014

Science of Computer Programming

View full text Add to dashboard Cite

show abstract

“…Kienle et al [11] identified seven quality attributes for visualization tools: a) rendering scalabilty b) information scalability c) interoperability d) customizability e) interactivity f) usability g) adaptability. We base our design decisions based on these attributes.…”

Section: Related Workmentioning

confidence: 99%

DataScope: Interactive visual exploratory dashboards for large multidimensional data

Iyer

Duttaduwarah

Sharma

2018

Preprint

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Fig. 1. User interacting with a DataScope dashboard generated using breast cancer registry data from Surveillance, Epidemiology, and End Results Program (SEER). In this screenshot, the user is interested in looking at pathology images of patients with tumor sizes larger than 20 mm in diameter and with estrogen-receptor(ER-Status) positive or borderline. The user sets the corresponding filters in A and B. The image grid C shows the pathology images for this filtered cohort.Abstract-DataScope is a web-based tool for generating interactive visual dashboards on large scale multidimensional datasets. Users can use these dashboards to explore data and create cohorts for downstream analysis. We describe DataScope's architecture, design considerations and provide an overview of its system design. We highlight some of DataScope's features that were useful in the case studies using datasets from cancer registries and co-clinical trials. In benchmarks DataScope is able to perform sub-second queries on data sizes ranging from thousand to million records.

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“…There exists a large body of work dedicated to the visualization of software; its structure [2], the different relationships and metrics [3], and at different levels of granularity [4] . In this section, we focus on software evolution visualizations.…”

Section: A Software Evolution Visualizationsmentioning

confidence: 99%

Visualizing the Evolution of Systems and Their Library Dependencies

Kula

Roover

Germán

et al. 2014

2014 Second IEEE Working Conference on Software Visualization

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Abstract-System maintainers face several challenges stemming from a system and its library dependencies evolving separately. Novice maintainers may lack the historical knowledge required to efficiently manage an inherited system. While some libraries are regularly updated, some systems keep a dependency on older versions. On the other hand, maintainers may be unaware that other systems have settled on a different version of a library. In this paper, we visualize how the dependency relation between a system and its dependencies evolves from two perspectives. Our system-centric dependency plots (SDP) visualize the successive library versions a system depends on over time. The radial layout and heat-map metaphor provide visual clues about the change in dependencies along the system's release history. From this perspective, maintainers can navigate to a library-centric dependants diffusion plot (LDP). The LDP is a time-series visualization that shows the diffusion of users across the different versions of a library. We demonstrate on real-world systems how maintainers can benefit from our visualizations through four case scenarios.

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Requirements of Software Visualization Tools: A Literature Survey

Cited by 46 publications

References 56 publications

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

The Solid* toolset for software visual analytics of program structure and metrics comprehension: From research prototype to product

DataScope: Interactive visual exploratory dashboards for large multidimensional data

Visualizing the Evolution of Systems and Their Library Dependencies

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