Estimating computational requirements in multi-threaded applications
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2225
- Type
- D - Journal article
- DOI
-
10.1109/TSE.2014.2363472
- Title of journal
- IEEE Transactions on Software Engineering
- Article number
- -
- First page
- 264
- Volume
- 41
- Issue
- 3
- ISSN
- 0098-5589
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
10.1109/TSE.2014.2363472
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the outcome of a 4-year industry-funded collaboration with SAP on resource consumption estimation based on response time measurements. The method was patented jointly with SAP (US Patent US9804943B2, granted in 2017). The technique is validated against Business Suite, SAP's flagship ERP product. This work is a major extension of our IEEE MASCOTS 2013 paper (acceptance rate: 27%/163; runner-up for Best Paper; https://doi.org/10.1109/MASCOTS.2013.10). Regression methods from this paper were integrated by Kounev's group at U. Wurzburg in the well-cited LibReDE tool in collaboration with us and VMware (https://doi.org/10.1145/2568088.2576093).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
