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Continuous Software Performance Assessment: Detecting Performance Problems of Software Libraries on Every Build


Laaber, Christoph (2019). Continuous Software Performance Assessment: Detecting Performance Problems of Software Libraries on Every Build. In: The 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, Beijing, China, 15 August 2019 - 19 August 2019, ACM Press.

Abstract

Degradation of software performance can become costly for companies and developers, yet it is hardly assessed continuously. A strategy that would allow continuous performance assessment of software libraries is software microbenchmarking, which faces problems such as excessive execution times and unreliable results that hinder wide-spread adoption in continuous integration. In my research, I want to develop techniques that allow including software microbenchmarks into continuous integration by utilizing cloud infrastructure and execution time reduction techniques. These will allow assessing performance on every build and therefore catching performance problems before they are released into the wild.

Abstract

Degradation of software performance can become costly for companies and developers, yet it is hardly assessed continuously. A strategy that would allow continuous performance assessment of software libraries is software microbenchmarking, which faces problems such as excessive execution times and unreliable results that hinder wide-spread adoption in continuous integration. In my research, I want to develop techniques that allow including software microbenchmarks into continuous integration by utilizing cloud infrastructure and execution time reduction techniques. These will allow assessing performance on every build and therefore catching performance problems before they are released into the wild.

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6 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Computational Theory and Mathematics
Physical Sciences > Computer Science Applications
Physical Sciences > Software
Language:English
Event End Date:19 August 2019
Deposited On:20 Aug 2019 14:51
Last Modified:26 Jan 2022 22:17
Publisher:ACM Press
ISBN:978-1-4503-6224-5/19/07
OA Status:Green
Free access at:Related URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/3293882.3338982
Related URLs:http://t.uzh.ch/Wj (Author)
Other Identification Number:merlin-id:18024
  • Content: Accepted Version