Not logged in.
Quick Search - Contribution
Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Contributions to practice |
| Published in Proceedings | Yes |
| Title | (h|g)opper: Performance History Mining and Analysis |
| Organization Unit | |
| Authors |
|
| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
|
| Event Title | 7th ACM/SPEC International Conference on Performance Engineering (ICPE'17 Demo Track). |
| Event Type | conference |
| Event Location | L'Aquila, Italy |
| Event Start Date | April 22 - 2017 |
| Event End Date | April 26 - 2017 |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Abstract Text | 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. |
| Free access at | Related URL |
| Official URL | https://dl.acm.org/citation.cfm?id=3053662 |
| Related URLs | |
| Digital Object Identifier | 10.1145/3030207.3053662 |
| Other Identification Number | merlin-id:14604 |
| PDF File |
Download from ZORA
|
| Export |
BibTeX
EP3 XML (ZORA)
|