dc.creator | Sánchez Jerez, Ana Belén | es |
dc.creator | Delgado Pérez, Pedro | es |
dc.creator | Medina Bulo, Inmaculada | es |
dc.creator | Segura Rueda, Sergio | es |
dc.date.accessioned | 2022-07-07T07:54:19Z | |
dc.date.available | 2022-07-07T07:54:19Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Sánchez Jerez, A.B., Delgado Pérez, P., Medina Bulo, I. y Segura Rueda, S. (2018). Search-based mutation testing to improve performance tests. En GECCO 2018: the Genetic and Evolutionary Computation Conference (316-317), Kyoto, Japan: Association for Computing Machinery (ACM). | |
dc.identifier.isbn | 978-1-4503-5764-7 | es |
dc.identifier.uri | https://hdl.handle.net/11441/135086 | |
dc.description.abstract | Performance bugs are common and can cause a significant deterio ration in the behaviour of a program, leading to costly issues. To
detect them and reduce their impact, performance tests are typi cally applied. However, there is a lack of mechanisms to evaluate
the quality of performance tests, causing many of these bugs re main unrevealed. Mutation testing, a fault-based technique to assess
and improve test suites, has been successfully studied with func tional tests. In this paper, we propose the use of mutation testing
together with a search-based strategy (evolutionary algorithm) to
find mutants that simulate performance issues. This novel approach
contributes to enhance the confidence on performance tests while
reducing the cost of mutation testing. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad BELI (TIN2015-70560-R) | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2015-65845-C3-3-R | es |
dc.format | application/pdf | es |
dc.format.extent | 2 | es |
dc.language.iso | eng | es |
dc.publisher | Association for Computing Machinery (ACM) | es |
dc.relation.ispartof | GECCO 2018: the Genetic and Evolutionary Computation Conference (2018), pp. 316-317. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Search-based software engineering | es |
dc.subject | Evolutionary algorithms | es |
dc.subject | Mutation testing | es |
dc.subject | Performance testing | es |
dc.subject | Performance bugs | es |
dc.title | Search-based mutation testing to improve performance tests | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | BELI (TIN2015-70560-R) | es |
dc.relation.projectID | TIN2015-65845-C3-3-R | es |
dc.relation.publisherversion | https://dl.acm.org/doi/10.1145/3205651.3205670 | es |
dc.identifier.doi | 10.1145/3205651.3205670 | es |
dc.contributor.group | Universidad de Sevilla. TIC205: Ingeniería del Software Aplicada | es |
dc.publication.initialPage | 316 | es |
dc.publication.endPage | 317 | es |
dc.eventtitle | GECCO 2018: the Genetic and Evolutionary Computation Conference | es |
dc.eventinstitution | Kyoto, Japan | es |
dc.relation.publicationplace | New York, USA | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |