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Conclave: ontology-driven measurement of semantic relatedness between source code elements and problem domain concepts

dc.contributor.authorCarvalho, Nuno Ramos
dc.contributor.authorAlmeida, José João
dc.contributor.authorHenriques, Pedro Rangel
dc.contributor.authorPereira, Maria João
dc.date.accessioned2014-07-02T08:51:08Z
dc.date.available2014-07-02T08:51:08Z
dc.date.issued2014
dc.description.abstractSoftware maintainers are often challenged with source code changes to improve software systems, or eliminate defects, in unfamiliar programs. To undertake these tasks a sufficient understanding of the system (or at least a small part of it) is required. One of the most time consuming tasks of this process is locating which parts of the code are responsible for some key functionality or feature. Feature (or concept) location techniques address this problem. This paper introduces Conclave, an environment for software analysis, and in particular the Conclave-Mapper tool that provides a feature location facility. This tool explores natural language terms used in programs (e.g. function and variable names), and using textual analysis and a collection of Natural Language Processing techniques, computes synonymous sets of terms. These sets are used to score relatedness between program elements, and search queries or problem domain concepts, producing sorted ranks of program elements that address the search criteria, or concepts. An empirical study is also discussed to evaluate the underlying feature location technique.por
dc.identifier.citationCarvalho, Nuno; Almeida, José João; Henriques, Pedro; Pereira, Maria João (2014). Conclave: ontology-driven measurement of semantic relatedness between source code elements and problem domain concept. In 14th International Conference on Computational Science and Its Applications, ICCSA 2014. Guimarãespor
dc.identifier.urihttp://hdl.handle.net/10198/9820
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectProgram comprehensionpor
dc.subjectConcept locationpor
dc.titleConclave: ontology-driven measurement of semantic relatedness between source code elements and problem domain conceptspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGuimarães, Portugalpor
oaire.citation.titleICCSA 2014 - The 14th International Conference on Computational Science and Its Applicationspor
person.familyNamePereira
person.givenNameMaria João
person.identifier.ciencia-idC912-4A49-A3B3
person.identifier.orcid0000-0001-6323-0071
person.identifier.ridG-5999-2011
person.identifier.scopus-author-id13907870300
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationa20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2
relation.isAuthorOfPublication.latestForDiscoverya20ccfa6-4e84-4c25-ab0d-8d6ba196ffc2

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