Interactive Static Software Performance Analysis in the IDE

Aaron Beigelbeck; Maurício Aniche; Jürgen Cito

doi:10.1109/ICPC52881.2021.00057

Interactive Static Software Performance Analysis in the IDE

Aaron Beigelbeck, Maurício Aniche, Jürgen Cito

Software Engineering

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

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Abstract

Detecting performance issues due to suboptimal code during the development process can be a daunting task, especially when it comes to localizing them after noticing performance degradation after deployment. Static analysis has the potential to provide early feedback on performance problems to developers without having to run profilers with expensive (and often unavailable) performance tests. We develop a VSCode tool that integrates the static performance analysis results from Infer via code annotations and decorations (surfacing complexity analysis results in context) and side panel views showing details and overviews (enabling explainability of the results). Additionally, we design our system for interactivity to allow for more responsiveness to code changes as they happen. We evaluate the efficacy of our tool by measuring the overhead that the static performance analysis integration introduces in the development workflow. Further, we report on a case study that illustrates how our system can be used to reason about software performance in the context of a real performance bug in the ElasticSearch open-source project.Demo video: https://www.youtube.com/watch?v=-GqPb-YZMOs Repository: https://github.com/ipa-lab/vscode-infer-performance

Original language	English
Title of host publication	Proceedings - 2021 IEEE/ACM 29th International Conference on Program Comprehension, ICPC 2021
Editors	L. O'Conner
Place of Publication	Piscataway
Publisher	IEEE
Pages	490-494
Number of pages	5
ISBN (Electronic)	978-1-6654-1403-6
ISBN (Print)	978-1-6654-1404-3
DOIs	https://doi.org/10.1109/ICPC52881.2021.00057
Publication status	Published - 2021
Event	2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) - Virtual at Madrid, Spain Duration: 20 May 2021 → 21 May 2021 Conference number: 29th

Publication series

Name	IEEE International Conference on Program Comprehension
Volume	2021-May

Conference

Conference	2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC)
Country/Territory	Spain
City	Virtual at Madrid
Period	20/05/21 → 21/05/21

Bibliographical note

Accepted author manuscript

Keywords

IDE integration
software performance
static analysis

Access to Document

10.1109/ICPC52881.2021.00057

Static_Performance_in_VSCode_with_InferAccepted author manuscript, 215 KB

Cite this

Beigelbeck, A., Aniche, M., & Cito, J. (2021). Interactive Static Software Performance Analysis in the IDE. In L. O'Conner (Ed.), Proceedings - 2021 IEEE/ACM 29th International Conference on Program Comprehension, ICPC 2021 (pp. 490-494). Article 9462992 (IEEE International Conference on Program Comprehension; Vol. 2021-May). IEEE. https://doi.org/10.1109/ICPC52881.2021.00057

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title = "Interactive Static Software Performance Analysis in the IDE",

abstract = "Detecting performance issues due to suboptimal code during the development process can be a daunting task, especially when it comes to localizing them after noticing performance degradation after deployment. Static analysis has the potential to provide early feedback on performance problems to developers without having to run profilers with expensive (and often unavailable) performance tests. We develop a VSCode tool that integrates the static performance analysis results from Infer via code annotations and decorations (surfacing complexity analysis results in context) and side panel views showing details and overviews (enabling explainability of the results). Additionally, we design our system for interactivity to allow for more responsiveness to code changes as they happen. We evaluate the efficacy of our tool by measuring the overhead that the static performance analysis integration introduces in the development workflow. Further, we report on a case study that illustrates how our system can be used to reason about software performance in the context of a real performance bug in the ElasticSearch open-source project.Demo video: https://www.youtube.com/watch?v=-GqPb-YZMOs Repository: https://github.com/ipa-lab/vscode-infer-performance",

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author = "Aaron Beigelbeck and Maur{\'i}cio Aniche and J{\"u}rgen Cito",

note = "Accepted author manuscript; 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC) ; Conference date: 20-05-2021 Through 21-05-2021",

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doi = "10.1109/ICPC52881.2021.00057",

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Beigelbeck, A, Aniche, M & Cito, J 2021, Interactive Static Software Performance Analysis in the IDE. in L O'Conner (ed.), Proceedings - 2021 IEEE/ACM 29th International Conference on Program Comprehension, ICPC 2021., 9462992, IEEE International Conference on Program Comprehension, vol. 2021-May, IEEE, Piscataway, pp. 490-494, 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC), Virtual at Madrid, Spain, 20/05/21. https://doi.org/10.1109/ICPC52881.2021.00057

Interactive Static Software Performance Analysis in the IDE. / Beigelbeck, Aaron; Aniche, Maurício; Cito, Jürgen.
Proceedings - 2021 IEEE/ACM 29th International Conference on Program Comprehension, ICPC 2021. ed. / L. O'Conner. Piscataway: IEEE, 2021. p. 490-494 9462992 (IEEE International Conference on Program Comprehension; Vol. 2021-May).

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

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AU - Aniche, Maurício

AU - Cito, Jürgen

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N2 - Detecting performance issues due to suboptimal code during the development process can be a daunting task, especially when it comes to localizing them after noticing performance degradation after deployment. Static analysis has the potential to provide early feedback on performance problems to developers without having to run profilers with expensive (and often unavailable) performance tests. We develop a VSCode tool that integrates the static performance analysis results from Infer via code annotations and decorations (surfacing complexity analysis results in context) and side panel views showing details and overviews (enabling explainability of the results). Additionally, we design our system for interactivity to allow for more responsiveness to code changes as they happen. We evaluate the efficacy of our tool by measuring the overhead that the static performance analysis integration introduces in the development workflow. Further, we report on a case study that illustrates how our system can be used to reason about software performance in the context of a real performance bug in the ElasticSearch open-source project.Demo video: https://www.youtube.com/watch?v=-GqPb-YZMOs Repository: https://github.com/ipa-lab/vscode-infer-performance

AB - Detecting performance issues due to suboptimal code during the development process can be a daunting task, especially when it comes to localizing them after noticing performance degradation after deployment. Static analysis has the potential to provide early feedback on performance problems to developers without having to run profilers with expensive (and often unavailable) performance tests. We develop a VSCode tool that integrates the static performance analysis results from Infer via code annotations and decorations (surfacing complexity analysis results in context) and side panel views showing details and overviews (enabling explainability of the results). Additionally, we design our system for interactivity to allow for more responsiveness to code changes as they happen. We evaluate the efficacy of our tool by measuring the overhead that the static performance analysis integration introduces in the development workflow. Further, we report on a case study that illustrates how our system can be used to reason about software performance in the context of a real performance bug in the ElasticSearch open-source project.Demo video: https://www.youtube.com/watch?v=-GqPb-YZMOs Repository: https://github.com/ipa-lab/vscode-infer-performance

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PB - IEEE

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T2 - 2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC)

Y2 - 20 May 2021 through 21 May 2021

ER -

Interactive Static Software Performance Analysis in the IDE

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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