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Enhancing POI Testing Approach through the Use of Additional Information

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Enhancing POI Testing Approach through the Use of Additional Information

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dc.contributor.author Pérez-Rubio, Sergio es_ES
dc.contributor.author Tamarit Muñoz, Salvador es_ES
dc.date.accessioned 2021-01-15T04:31:23Z
dc.date.available 2021-01-15T04:31:23Z
dc.date.issued 2019 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/159137
dc.description.abstract [EN] Recently, a new approach to perform regression testing has been defined: the point of interest (POI) testing. A POI, in this context, is any expression of a program. The approach receives as input a set of relations between POIs from a version of a program and POIs from another version, and also a sequence of entry points, i.e. test cases. Then, a program instrumentation, an input test case generation and different comparison functions are used to obtain the final report which indicates whether the alternative version of the program behaves as expected, e.g. it produces the same outputs or it uses less CPU/memory. In this paper, we present a method to improve POI testing by including additional context information for a certain type of POIs. Concretely, we use this method to obtain an enhanced tracing of calls. Additionally, it enables new comparison modes and a categorization of unexpected behaviours. es_ES
dc.description.sponsorship This work has been partially supported by MINECO/AEI/FEDER (EU) under grant TIN2016-76843-C4-1-R, and by the Generalitat Valenciana under grant PROMETEOII/2015/013 (SmartLogic). Salvador Tamarit was partially supported by the Conselleria de Educación, Investigación, Cultura y Deporte de la Generalitat Valenciana under grant APOSTD/2016/036. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Lecture Notes in Computer Science es_ES
dc.relation.ispartof Functional and Constraint Logic Programming es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Code evolution control es_ES
dc.subject Automated regression testing es_ES
dc.subject Call traces es_ES
dc.subject Tracing es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Enhancing POI Testing Approach through the Use of Additional Information es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-16202-3_5 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2015%2F013/ES/SmartLogic: Logic Technologies for Software Security and Performance/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//APOSTD%2F2016%2F036/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2016-76843-C4-1-R/ES/METODOS RIGUROSOS PARA EL INTERNET DEL FUTURO/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Pérez-Rubio, S.; Tamarit Muñoz, S. (2019). Enhancing POI Testing Approach through the Use of Additional Information. Lecture Notes in Computer Science. 11285:74-90. https://doi.org/10.1007/978-3-030-16202-3_5 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 26th International Workshop on Functional and (Constraint) Logic Programming (WFLP 2018) es_ES
dc.relation.conferencedate Septiembre 06-06,2018 es_ES
dc.relation.conferenceplace Frankfurt am Main, Germany es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-16202-3_5 es_ES
dc.description.upvformatpinicio 74 es_ES
dc.description.upvformatpfin 90 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11285 es_ES
dc.relation.pasarela S\403309 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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