UAV: Warnings from multiple Automated Static Analysis Tools at a glance

2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER) Pub Date : 2017-02-01 DOI:10.1109/SANER.2017.7884656

Tim Buckers, Clinton Cao, M. Doesburg, Boning Gong, Sunwei Wang, M. Beller, A. Zaidman

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引用次数: 18

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/

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无人机:多个自动静态分析工具的警告一览无余

自动化静态分析工具(ASATs)是当今软件质量保证实践中不可或缺的一部分。目前，存在着大量的asat，每种asat都有不同的优势。然而，对于开发人员应该为项目选择和组合哪些asat，几乎没有指导。因此，许多项目仍然只使用一个反卫星，实际上没有定制。通过UAV，统一ASAT可视化器，我们创建了一个直观的可视化，使开发人员、研究人员和工具创建者能够比较不同Java ASAT的互补优势和重叠。无人机丰富的树图和源代码视图为其用户提供了从高级概述到源代码的警告分布的无缝探索。我们在一个用户研究中评估了我们的无人机原型，其中有10个计算机科学(CS)二年级的学生，一个可视化专家，并在带有数千个PMD、FindBugs和Checkstyle警告的大型Java存储库上对其进行了测试。项目网站:https://clintoncao.github.io/uav/

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER)

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