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dc.contributor.authorKenneth Coshen_US
dc.description.abstract© 2016 IEEE. This paper presents the findings of a research project concerned with extracting the themes currently being researched within the Software Engineering field by automatically processing a collection of papers published thus far in 2015. Natural Language Processing techniques have been applied to extract the key features of each publication, with publications then being clustered with similar papers to identify their common themes and highlight the key themes currently being researched within the Software Engineering domain. The most dominant active theme was Education, with a cluster of papers concerning the teaching of software engineering, while other relevant topics included Components and Requirements.en_US
dc.subjectComputer Scienceen_US
dc.subjectSocial Sciencesen_US
dc.titleCurrent research themes in software engineering: An application of text miningen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2016 8th International Conference on Knowledge and Smart Technology, KST 2016en_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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