Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11863
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dc.contributor.authorSezerer, Erhanen_US
dc.contributor.authorTenekeci, Sameten_US
dc.contributor.authorAcar, Alien_US
dc.contributor.authorBaloğlu, Boraen_US
dc.contributor.authorTekir, Selmaen_US
dc.date.accessioned2021-12-16T10:56:26Z-
dc.date.available2021-12-16T10:56:26Z-
dc.date.issued2021-10-
dc.identifier.urihttps://doi.org10.1142/S0218194021500479-
dc.identifier.urihttps://hdl.handle.net/11147/11863-
dc.description.abstractIn the field of software engineering, practitioners' share in the constructed knowledge cannot be underestimated and is mostly in the form of grey literature (GL). GL is a valuable resource though it is subjective and lacks an objective quality assurance methodology. In this paper, a quality assessment scheme is proposed for question and answer (Q&A) sites. In particular, we target stack overflow (SO) and stack exchange (SE) sites. We model the problem of author reputation measurement as a classification task on the author-provided answers. The authors' mean, median, and total answer scores are used as inputs for class labeling. State-of-the-art language models (BERT and DistilBERT) with a softmax layer on top are utilized as classifiers and compared to SVM and random baselines. Our best model achieves 63.8% accuracy in binary classification in SO design patterns tag and 71.6% accuracy in SE software engineering category. Superior performance in SE software engineering can be explained by its larger dataset size. In addition to quantitative evaluation, we provide qualitative evidence, which supports that the system's predicted reputation labels match the quality of provided answers.en_US
dc.language.isoenen_US
dc.publisherWorld Scientific Publishingen_US
dc.relation.ispartofInternational Journal of Software Engineering and Knowledge Engineeringen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAuthor reputation measurementen_US
dc.subjectQuestion and answer sitesen_US
dc.subjectStack exchangeen_US
dc.subjectStack overflowen_US
dc.subjectText classificationen_US
dc.titleAuthor reputation measurement on question and answer sites by the classification of author-generated contenten_US
dc.typeArticleen_US
dc.authorid0000-0002-0488-9682en_US
dc.institutionauthorSezerer, Erhanen_US
dc.institutionauthorTenekeci, Sameten_US
dc.institutionauthorAcar, Alien_US
dc.institutionauthorBaloğlu, Boraen_US
dc.institutionauthorTekir, Selmaen_US
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.wosWOS:000718333000003en_US
dc.identifier.scopus2-s2.0-85119595051en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1142/S0218194021500479-
dc.contributor.affiliation01. Izmir Institute of Technologyen_US
dc.contributor.affiliation01. Izmir Institute of Technologyen_US
dc.contributor.affiliation01. Izmir Institute of Technologyen_US
dc.contributor.affiliation01. Izmir Institute of Technologyen_US
dc.contributor.affiliation01. Izmir Institute of Technologyen_US
dc.relation.issn0218-1940en_US
dc.description.volume31en_US
dc.description.issue10en_US
dc.description.startpage1421en_US
dc.description.endpage1445en_US
dc.identifier.wosqualityQ4-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.grantfulltextembargo_20250101-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.openairetypeArticle-
crisitem.author.dept03.04. Department of Computer Engineering-
crisitem.author.dept01. Izmir Institute of Technology-
crisitem.author.dept01. Izmir Institute of Technology-
crisitem.author.dept01. Izmir Institute of Technology-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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