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

doi:10.1109/SANER.2017.7884656

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

Software Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

15 Citations (Scopus)

200 Downloads (Pure)

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/

Original language	English
Title of host publication	Proceedings - 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017
Editors	Martin Pinzger, Gabriele Bavota, Andrian Marcus
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	472-476
Number of pages	5
ISBN (Electronic)	978-1-5090-5501-2
DOIs	https://doi.org/10.1109/SANER.2017.7884656
Publication status	Published - 2017
Event	SANER 2017: 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering - Klagenfurt, Austria Duration: 21 Feb 2017 → 24 Feb 2017

Conference

Conference	SANER 2017
Country/Territory	Austria
City	Klagenfurt
Period	21/02/17 → 24/02/17

Keywords

Visualization
Java
Data visualization
Color
Navigation
Btowsers
Libraries

Access to Document

10.1109/SANER.2017.7884656

buckersSANER2017-2Accepted author manuscript, 1.67 MB

Cite this

Buckers, T., Cao, C., Doesburg, M., Gong, B., Wang, S., Beller, M., & Zaidman, A. (2017). UAV: Warnings From Multiple Automated Static Analysis Tools At A Glance. In M. Pinzger, G. Bavota, & A. Marcus (Eds.), Proceedings - 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017 (pp. 472-476). IEEE. https://doi.org/10.1109/SANER.2017.7884656

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title = "UAV: Warnings From Multiple Automated Static Analysis Tools At A Glance",

abstract = "Automated Static Analysis Tools (ASATs) are an integral part of today{\textquoteright}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{\textquoteright}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/",

keywords = "Visualization, Java, Data visualization, Color, Navigation, Btowsers, Libraries",

author = "Tim Buckers and Clinton Cao and Michiel Doesburg and Boning Gong and Sunwei Wang and Moritz Beller and Andy Zaidman",

year = "2017",

doi = "10.1109/SANER.2017.7884656",

language = "English",

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editor = "Martin Pinzger and Gabriele Bavota and Andrian Marcus",

booktitle = "Proceedings - 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017",

publisher = "IEEE",

address = "United States",

note = "SANER 2017 : 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering ; Conference date: 21-02-2017 Through 24-02-2017",

}

Buckers, T, Cao, C, Doesburg, M, Gong, B, Wang, S, Beller, M & Zaidman, A 2017, UAV: Warnings From Multiple Automated Static Analysis Tools At A Glance. in M Pinzger, G Bavota & A Marcus (eds), Proceedings - 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017. IEEE, Piscataway, NJ, pp. 472-476, SANER 2017, Klagenfurt, Austria, 21/02/17. https://doi.org/10.1109/SANER.2017.7884656

UAV: Warnings From Multiple Automated Static Analysis Tools At A Glance. / Buckers, Tim; Cao, Clinton; Doesburg, Michiel et al.
Proceedings - 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017. ed. / Martin Pinzger; Gabriele Bavota; Andrian Marcus. Piscataway, NJ: IEEE, 2017. p. 472-476.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - UAV

T2 - SANER 2017

AU - Buckers, Tim

AU - Cao, Clinton

AU - Doesburg, Michiel

AU - Gong, Boning

AU - Wang, Sunwei

AU - Beller, Moritz

AU - Zaidman, Andy

PY - 2017

Y1 - 2017

N2 - 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/

AB - 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/

KW - Visualization

KW - Java

KW - Data visualization

KW - Color

KW - Navigation

KW - Btowsers

KW - Libraries

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M3 - Conference contribution

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BT - Proceedings - 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017

A2 - Pinzger, Martin

A2 - Bavota, Gabriele

A2 - Marcus, Andrian

PB - IEEE

CY - Piscataway, NJ

Y2 - 21 February 2017 through 24 February 2017

ER -

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

Abstract

Conference

Keywords

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Best tool demo paper award

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Prizes

Best tool demo paper award

Cite this