Documents

DOI

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: https://clintoncao.github.io/uav/
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
PublisherIEEE
Pages472-476
Number of pages5
ISBN (Electronic)978-1-5090-5501-2
DOIs
StatePublished - 2017
EventSANER 2017 - Klagenfurt, Austria

Conference

ConferenceSANER 2017
CountryAustria
CityKlagenfurt
Period21/02/1724/02/17

    Research areas

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

ID: 32869490