UAV: Warnings From Multiple Automated Static Analysis Tools At A Glance

Tim Buckers, Clinton Cao, Michiel Doesburg, Boning Gong, Sunwei Wang, Moritz Beller, Andy Zaidman

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

11 Citations (Scopus)
108 Downloads (Pure)


Automated Static Analysis Tools (ASATs) are an integral part of today’s software quality assurance practices. At present, a plethora of ASATs exist, each with different strengths. However, there is little guidance for developers on which of these ASATs to choose and combine for a project. As a result, many projects still only employ one ASAT with practically no customization. With UAV, the Unified ASAT Visualizer, we created an intuitive visualization that enables developers, researchers, and tool creators to compare the complementary strengths and overlaps of different Java ASATs. UAV’s enriched treemap and source code views provide its users with a seamless exploration of the warning distribution from a high-level overview down to the source code. We have evaluated our UAV prototype in a user study with ten second-year Computer Science (CS) students, a visualization expert and tested it on large Java repositories with several thousands of PMD, FindBugs, and Checkstyle warnings.
Project Website:
Original languageEnglish
Title of host publicationProceedings - 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017
EditorsMartin Pinzger, Gabriele Bavota, Andrian Marcus
Place of PublicationPiscataway, NJ
Number of pages5
ISBN (Electronic)978-1-5090-5501-2
Publication statusPublished - 2017
EventSANER 2017: 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering - Klagenfurt, Austria
Duration: 21 Feb 201724 Feb 2017


ConferenceSANER 2017


  • Visualization
  • Java
  • Data visualization
  • Color
  • Navigation
  • Btowsers
  • Libraries


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  • Best tool demo paper award

    Buckers, T. (Recipient), Cao, C. (Recipient), Doesburg, M. (Recipient), Gong, B. (Recipient), Wang, S. (Recipient), Beller, M. (Recipient) & Zaidman, A.E. (Recipient), 2017

    Prize: Prize (including medals and awards)

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