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10.1109/ICPC.2007.39guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Understanding Execution Traces Using Massive Sequence and Circular Bundle Views

Published: 26 June 2007 Publication History

Abstract

The use of dynamic information to aid in software understanding is a common practice nowadays. One of the many approaches concerns the comprehension of execution traces. A major issue in this context is scalability: due to the vast amounts of information, it is a very difficult task to successfully find your way through such traces without getting lost. In this paper, we propose the use of a novel trace visualization method based on a massive sequence and circular bundle view, constructed with scalability in mind. By means of three usage scenarios that were conducted on three different software systems, we show how our approach, implemented in a tool called EXTRAVIS, is applicable to the areas of trace exploration, feature location, and feature comprehension.

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  • (2024)Snoopie: A Multi-GPU Communication Profiler and VisualizerProceedings of the 38th ACM International Conference on Supercomputing10.1145/3650200.3656597(525-536)Online publication date: 30-May-2024
  • (2023)Exploring granular test coverage and its evolution with matrix visualizationsInformation and Software Technology10.1016/j.infsof.2022.107085155:COnline publication date: 13-Feb-2023
  • (2019)Identifying features of Android apps from execution tracesProceedings of the 6th International Conference on Mobile Software Engineering and Systems10.5555/3340730.3340740(35-39)Online publication date: 25-May-2019
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cover image Guide Proceedings
ICPC '07: Proceedings of the 15th IEEE International Conference on Program Comprehension
June 2007
298 pages
ISBN:0769528600

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IEEE Computer Society

United States

Publication History

Published: 26 June 2007

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Cited By

View all
  • (2024)Snoopie: A Multi-GPU Communication Profiler and VisualizerProceedings of the 38th ACM International Conference on Supercomputing10.1145/3650200.3656597(525-536)Online publication date: 30-May-2024
  • (2023)Exploring granular test coverage and its evolution with matrix visualizationsInformation and Software Technology10.1016/j.infsof.2022.107085155:COnline publication date: 13-Feb-2023
  • (2019)Identifying features of Android apps from execution tracesProceedings of the 6th International Conference on Mobile Software Engineering and Systems10.5555/3340730.3340740(35-39)Online publication date: 25-May-2019
  • (2019)Commenting source codeEmpirical Software Engineering10.1007/s10664-018-9664-z24:3(1418-1457)Online publication date: 1-Jun-2019
  • (2018)DCTracVisAutomated Software Engineering10.5555/3288647.328871525:4(703-741)Online publication date: 1-Dec-2018
  • (2018)Performance comprehension at WiredTigerProceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3236024.3236081(83-94)Online publication date: 26-Oct-2018
  • (2018)Hierarchical abstraction of execution traces for program comprehensionProceedings of the 26th Conference on Program Comprehension10.1145/3196321.3196343(86-96)Online publication date: 28-May-2018
  • (2018)Inferring hierarchical motifs from execution tracesProceedings of the 40th International Conference on Software Engineering10.1145/3180155.3180216(776-787)Online publication date: 27-May-2018
  • (2017)Towards triaging code-smell candidates via runtime scenarios and method-call dependenciesProceedings of the XP2017 Scientific Workshops10.1145/3120459.3120468(1-9)Online publication date: 22-May-2017
  • (2017)Software landscape and application visualization for system comprehension with ExplorVizInformation and Software Technology10.1016/j.infsof.2016.07.00487:C(259-277)Online publication date: 1-Jul-2017
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