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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.

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.

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.

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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
Language:English
Event End Date:26 April 2017
Deposited On:04 Dec 2018 16:19
Last Modified:04 Dec 2018 19:30
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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