Software Forest: A Visualization of Semantic Similarities in Source Code using a Tree Metaphor

Atzberger, Daniel; Cech, Tim; Haye, Merlin de La; Söchting, Maximilian; Scheibel, Willy; Limberger, Daniel; Döllner, Jürgen

doi:10.5220/0010267601120122

Cited by 9 publications

(2 citation statements)

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“…While our current prototype is built upon static source code analysis metrics and the software map visualization technique, the underlying idea of fetching the software metrics directly from the repository does not limit the use of specific software visualization techniques, e.g., source-code-similarity-based forest metaphors [59,60]. More specifically, the integrated software analysis data make up a specific kind of database that each technique should be adoptable to.…”

Section: Visualization Approachesmentioning

confidence: 99%

Integrated Visual Software Analytics on the GitHub Platform

Scheibel,

Blum,

Lauterbach

et al. 2024

Computers

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Readily available software analysis and analytics tools are often operated within external services, where the measured software analysis data are kept internally and no external access to the data is available. We propose an approach to integrate visual software analysis on the GitHub platform by leveraging GitHub Actions and the GitHub API, covering both analysis and visualization. The process is to perform software analysis for each commit, e.g., static source code complexity metrics, and augment the commit using the resulting data, stored as git objects within the same repository. We show that this approach is feasible by integrating it into 64 open source TypeScript projects. Furthermore, we analyze the impact on Continuous Integration (CI) run time and repository storage. The stored software analysis data are externally accessible to allow for visualization tools, such as software maps. The effort to integrate our approach is limited to enabling the analysis component within a project’s CI on GitHub and embed an HTML snippet into the project’s website for visualization. This enables a large amount of projects to have access to software analysis as well as provide means to communicate the current status of a project.

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Section: Visualization Approachesmentioning

confidence: 99%

Integrated Visual Software Analytics on the GitHub Platform

Scheibel,

Blum,

Lauterbach

et al. 2024

Computers

Self Cite

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“…Another original metaphor for software visualizations is Software Feather [37] which maps class and interface metrics as feathers, one of its main purposes is for users to apprehend to recognize which feather corresponds to which class in the system. Another metaphor derived from nature is Software Forest where Atzberger et al, [38] display software as a forest by mapping properties of entities such as the size and trend data. Furthermore, Ignacio et al, [39] extend visualIDs as a glyph technique to cope with structural software elements.…”

Section: Related Workmentioning

confidence: 99%

A New Generation of CLASS BLUEPRINT

Agouf

Ducasse

Etien

et al. 2022

2022 Working Conference on Software Visualization (VISSOFT)

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In object-oriented programming, classes are the primary abstraction mechanism used by and exposed to developers. Understanding classes is key for the development and evolution of object-oriented applications. The fundamental problem faced by developers is that while classes are intrinsically structured entities, in IDEs they are represented as a blob of text. The idea behind the original CLASS BLUEPRINT visualization was to represent the internal structure of classes in terms of fields, their accesses, and the method call flow. Additional information was depicted using colors. The thus created visualization proved to be an effective means to support program comprehension. However, a number of omissions rendered it only partially useful.We propose CLASS BLUEPRINT V2 (in short BLUEPRINTV2), which in addition to the information depicted by CLASS BLUEPRINT also supports dead code identification, methods under tests, and calling relationships between class and instance level methods. In addition, BLUEPRINTV2 enhances the understanding of fields by showing how fields of super/subclasses are accessed. We present the enhanced visualization and report on a first validation with 26 developers and 18 projects.

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