Benchmarks for End-to-End Microservices Testing
| dc.contributor.author | Smith, Sheldon | |
| dc.contributor.author | Robinson, Ethan | |
| dc.contributor.author | Frederiksen, Timmy | |
| dc.contributor.author | Stevens, Trae | |
| dc.contributor.author | Cerny, Tomas | |
| dc.contributor.author | Bures, Miroslav | |
| dc.contributor.author | Taibi, Davide | |
| dc.date.accessioned | 2024-01-19T18:24:26Z | |
| dc.date.available | 2024-01-19T18:24:26Z | |
| dc.date.issued | 2023-07 | |
| dc.identifier.citation | S. Smith et al., "Benchmarks for End-to-End Microservices Testing," 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE), Athens, Greece, 2023, pp. 60-66, doi: 10.1109/SOSE58276.2023.00013. | en_US |
| dc.identifier.doi | 10.1109/sose58276.2023.00013 | |
| dc.identifier.uri | http://hdl.handle.net/10150/670676 | |
| dc.description.abstract | Testing microservice systems involves a large amount of planning and problem-solving. The difficulty of testing microservice systems increases as the size and structure of such systems become more complex. To help the microservice community and simplify experiments with testing and traffic simulation, we created a test benchmark containing full functional testing coverage for two well-established open-source microservice systems. Through our benchmark design, we aimed to demonstrate ways to overcome certain challenges and find effective strategies when testing microservices. In addition, to demonstrate our benchmark use, we conducted a case study to identify the best approaches to take to validate a full coverage of tests using service-dependency graph discovery and business process discovery using tracing. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.rights | © 2023 IEEE. | en_US |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en_US |
| dc.source | 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE) | |
| dc.subject | Benchmark | en_US |
| dc.subject | Functional Regression Testing | en_US |
| dc.subject | Functionality Testing | en_US |
| dc.subject | Load Testing | en_US |
| dc.subject | Microservices | en_US |
| dc.title | Benchmarks for End-to-End Microservices Testing | en_US |
| dc.type | Proceedings | en_US |
| dc.contributor.department | Systems & Industrial Engineering, University of Arizona | en_US |
| dc.identifier.journal | Proceedings - 17th IEEE International Conference on Service-Oriented System Engineering, SOSE 2023 | en_US |
| dc.description.note | Immediate access | en_US |
| dc.description.collectioninformation | This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu. | en_US |
| dc.eprint.version | Final accepted manuscript | en_US |
| refterms.dateFOA | 2024-01-19T18:24:28Z |
