Published May 31, 2018
| Version v2
Dataset
Open
A Quantitative Approach for the Assessment of Microservice Architecture Deployment Alternatives by Automated Performance Testing
Creators
- 1. EsulabSolutions, Inc., Princeton, NJ, USA
- 2. University of Stuttgart, Germany
- 3. Free University of Bozen-Bolzano, Italy
- 4. NovaTec Consulting GmbH, Leinfelden-Echterdingen, Germany
Description
Reprodicibility package, raw data and results for the paper "A Quantitative Approach for the Assessment of Microservice Architecture Deployment Alternatives by Automated Performance Testing".
Files
test_executor.zip
Files
(67.7 MB)
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