UAV

Warnings From Multiple Automated Static Analysis Tools At A Glance

Conference paper (2017)

Authors

Tim Buckers External organisation
Clinton Cao External organisation
Michiel Doesburg External organisation
Boning Gong External organisation
Sunwei Wang External organisation
M.M. Beller Software Engineering - EEMCS
A.E. Zaidman Software Engineering - EEMCS
Research Group
Software Engineering (EEMCS) (TU Delft)
Copyright: © 2017 Tim Buckers, Clinton Cao, Michiel Doesburg, Boning Gong, Sunwei Wang, M.M. Beller, A.E. Zaidman
DOI
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https://doi.org/10.1109/SANER.2017.7884656
Java Navigation Color Visualization Data visualization Libraries Btowsers
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Published Date

2017

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Software Engineering

Abstract

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/