Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization

Isaacs, Katherine E.; Gamblin, Todd

doi:10.1109/tvcg.2018.2859974

Cited by 12 publications

(6 citation statements)

References 38 publications

(44 reference statements)

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“…To reduce visual complexity and improve readability, graph data is often visualized as trees [3,29], including the case of CCTs and call graphs [1,7,42,43]. Here, we discuss related work in the area of call graphs, tree ensembles, and graphs in general.…”

Section: Related Workmentioning

confidence: 99%

Scalable Comparative Visualization of Ensembles of Call Graphs

Kesavan

Bhatia

Bhatele

et al. 2023

IEEE Trans. Visual. Comput. Graphics

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Optimizing the performance of large-scale parallel codes is critical for efficient utilization of computing resources. Code developers often explore various execution parameters, such as hardware configurations, system software choices, and application parameters, and are interested in detecting and understanding bottlenecks in different executions. They often collect hierarchical performance profiles represented as call graphs, which combine performance metrics with their execution contexts. The crucial task of exploring multiple call graphs together is tedious and challenging because of the many structural differences in the execution contexts and significant variability in the collected performance metrics (e.g., execution runtime). In this paper, we present an enhanced version of CallFlow to support the exploration of ensembles of call graphs using new types of visualizations, analysis, graph operations, and features. We introduce ensemble-Sankey, a new visual design that combines the strengths of resource-flow (Sankey) and box-plot visualization techniques. Whereas the resource-flow visualization can easily and intuitively describe the graphical nature of the call graph, the box plots overlaid on the nodes of Sankey convey the performance variability within the ensemble. Our interactive visual interface provides linked views to help explore ensembles of call graphs, e.g., by facilitating the analysis of structural differences, and identifying similar or distinct call graphs. We demonstrate the effectiveness and usefulness of our design through case studies on large-scale parallel codes.

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Section: Related Workmentioning

confidence: 99%

Scalable Comparative Visualization of Ensembles of Call Graphs

Kesavan

Bhatia

Bhatele

et al. 2023

IEEE Trans. Visual. Comput. Graphics

Self Cite

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“…Many researchers have investigated the modeling and visualization of dependency graphs [21,17,18,22,30,31,15,23,14,20]. For example, Falke et al suggested a hierarchical graph layout for visualizing the functional dependency graph of software applications; by using a hierarchical layout, users can view the top-level nodes as a first overview and step-wise unfold the nodes on demand to look into details [15].…”

Section: Related Workmentioning

confidence: 99%

“…As Bergle et al [8] suggested, adequately visualizing software dependencies as graph is a non-trivial problem due to the multi-dimensional nature of software, the technique of dependency visualization varies from different aspect to aspect of the software. Isaacs et al [20] developed an interactive dependency graph visualization that utilizes ASCII and brings a full dependency graph through the command line with certain degree of interactions, Fig. 2.5 shown as example on dia 6 specified in Spack management tool.…”

Section: Related Workmentioning

confidence: 99%

REM: Visualizing the Ripple Effect on Dependencies Using Metrics of Health

Chen

Germán

2020

2020 Working Conference on Software Visualization (VISSOFT)

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In recent years, free and open-source software (FOSS) components have become common dependencies in the development of software, both open source and proprietary. As the complexity of software increases, so does the number of software components they depend upon; in addition, software components are also depending on other components. Thus, their dependency graphs are growing in size and complexity. One of the current challenges in software development is that it is not trivial to know the full dependency graph of a software application and the vulnerabilities in it. Developers are usually aware of the direct dependencies their application requires, but might not be fully aware of the dependencies that those dependencies require (the transitive dependencies). Open-source software components, each as individual project, have health, a condition that is measured by the quality in different aspects of the development. Unfortunately, unhealthy software components as transitive dependencies can break any software application; therefore, software application developers need tools, methods and visualizations to inspect the health of these transitive dependencies and their potential impacts on the dependency graph of their software application. In this thesis, I first proposed and presented the Ripple Effect of Metrics (REM), a visualization of dependency graphs that leverages metrics of the health of dependencies. The two main features of the REM are: first, to display, and potentially summarize, the full dependency graph of an software application based on the health of each of its dependencies; and second, to display the ripple effect of vulnerable dependencies on the rest of the dependency graph. I then enhanced the features of an existing automated dependency tool in GitHub, open-source Dependabot, with the iv REMs to become the REM-Dependabot. The REM-Dependabot helps maintainers of software applications to inspect the health of all of its dependencies, especially the vulnerable dependencies with CVE security advisories, and also explore the impact that some of these dependencies might have. I designed a case study on one of the most popular NPM JavaScript applications with three use cases each with a goal that the maintainers of that application need to achieve. The case study demonstrates and argues that the REM can be beneficial to developers as an aid to a more effective dependency management with its visualization of the ripple effect on the dependency graph using health metrics activity. A major portion of this thesis has been published at 2020 Working Conference on Software Visualization (VISSOFT) [10]. v Contents Supervisory Committee

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“…VR City enables users to observe and interact with a visual representation of source code that is displayed in a virtual reality environment. Another study (Isaacs and Gamblin, 2018) employs a directed acyclic graph to analyze dependencies of package management systems. Ravel (Isaacs et al, 2014) allows users to visualize the behaviour of a software system during the execution of a program based on log traces.…”

Section: Classification By Software System Aspectsmentioning

confidence: 99%

A Systematic Literature Review of Modern Software Visualization

Chotisarn,

Merino,

Zheng

et al. 2020

Preprint

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We report on the state-of-the-art of software visualization. To ensure reproducibility, we adopted the Systematic Literature Review methodology. That is, we analyzed 1440 entries from IEEE Xplore and ACM Digital Library databases. We selected 105 relevant full papers published in 2013-2019, which we classified based on the aspect of the software system that is supported (i.e., structure, behavior, and evolution). For each paper, we extracted main dimensions that characterize software visualizations, such as software engineering tasks, roles of users, information visualization techniques, and media used to display visualizations. We provide researchers in the field an overview of the state-of-the-art in software visualization and highlight research opportunities. We also help developers to identify suitable visualizations for their particular context by matching software visualizations to development concerns and concrete details to obtain available visualization tools.

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Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization

Cited by 12 publications

References 38 publications

Scalable Comparative Visualization of Ensembles of Call Graphs

Scalable Comparative Visualization of Ensembles of Call Graphs

REM: Visualizing the Ripple Effect on Dependencies Using Metrics of Health

A Systematic Literature Review of Modern Software Visualization

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