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RETORCH: an approach for resource-aware orchestration of end-to-end test cases
dc.contributor.author | Augusto Alonso, Cristian | |
dc.contributor.author | Morán Barbón, Jesús | |
dc.contributor.author | Bertolino, A. | |
dc.contributor.author | Riva Álvarez, Claudio A. de la | |
dc.contributor.author | Tuya González, Pablo Javier | |
dc.date.accessioned | 2020-06-26T07:57:30Z | |
dc.date.available | 2020-06-26T07:57:30Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Software Quality Journal, 28, p. 1147-1171 (2020); doi:10.1007/s11219-020-09505-2 | |
dc.identifier.issn | 0963-9314 | |
dc.identifier.issn | 1573-1367 | |
dc.identifier.uri | http://hdl.handle.net/10651/55405 | |
dc.description.abstract | Continuous integration practice mandates to continuously introduce incremental changes into code, but doing so may introduce new faults too. These faults could be detected automatically through regression testing, but this practice becomes prohibitive as the cost of executing the tests grows. This problem is preponderant in end-to-end testing where the whole system is requested for test execution. However, some of these test cases could be executed with fewer resources (e.g., memory, web services, computation, Cloud instances, among others), by deploying only the subsystems needed by each test. This paper is focused on the optimization of the resources employed in end-to-end testing by means of a resource-aware test orchestration technique in the context of continuous integration practices in the Cloud. The RETORCH approach proposes a novel way to identify the resources required by end-to-end test cases and to use this information to group together those tests requiring equivalent resources. Besides, the approach proposes to deploy the grouped tests in isolated and elastic environments, so that their execution can be scheduled in parallel on several machines. RETORCH is exemplified with a real-world application, and its performance evaluation shows promising savings in terms of resource usage and time. | |
dc.description.sponsorship | Este trabajo fue financiado en parte por el Ministerio de Economía y Competitividad de España en el marco del proyecto TestEAMoS (TIN2016-76956-C3-1-R) y fondos FEDER y por el Proyecto Europeo ElasTest en el programa de investigación e innovación Horizonte 2020 (GA No. 731535). | |
dc.format.extent | p. 1147-1171 | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Software Quality Journal | |
dc.rights | © 2020 Springer | |
dc.source | ||
dc.source.uri | ||
dc.subject | Software testing | |
dc.subject | Continuous integration | |
dc.subject | Continuous testing | |
dc.subject | Testing in the cloud | |
dc.subject | End-to-End testing | |
dc.subject | Test orchestration | |
dc.title | RETORCH: an approach for resource-aware orchestration of end-to-end test cases | |
dc.type | journal article | |
dc.identifier.doi | 10.1007/s11219-020-09505-2 | |
dc.relation.projectID | MINECO/TIN2016-76956-C3-1-R | |
dc.relation.projectID | info:eu‐repo/grantAgreement/EC/H2020/731535 | |
dc.relation.publisherversion | http://dx.doi.org/10.1007/s11219-020-09505-2 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | AM |
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