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(h|g)opper: Performance History Mining and Analysis

Laaber, Christoph; Leitner, Philipp (2017). (h|g)opper: Performance History Mining and Analysis. In: 7th ACM/SPEC International Conference on Performance Engineering (ICPE'17 Demo Track)., L'Aquila, Italy, 22 April 2017 - 26 April 2017, ACM.

Abstract

Performance changes of software systems, and especially performance regressions, have a tremendous impact on users of that system. Historical data can help developers to rea- son about how performance has changed over the course of a software’s lifetime. In this demo paper we present two tools: hopper to mine historical performance metrics based on benchmarks and unit tests, and gopper to analyse the data with respect to performance changes.

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 > Hardware and Architecture
Physical Sciences > Software
Physical Sciences > Computer Science Applications
Scope:Contributions to practice (applied research)
Language:English
Event End Date:26 April 2017
Deposited On:04 Dec 2018 16:19
Last Modified:06 Mar 2024 14:23
Publisher:ACM
OA Status:Green
Free access at:Related URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/3030207.3053662
Official URL:https://dl.acm.org/citation.cfm?id=3053662
Related URLs:http://www.ifi.uzh.ch/dam/jcr:c5fa02ce-2d8d-4230-a7bb-a244ef91d710/paper.pdf (Author)
Other Identification Number:merlin-id:14604
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