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dc.contributor.authorZhu, Jiang
dc.contributor.authorMahan, Oliver
dc.contributor.authorIslam, Rakibul M.
dc.descriptionColor poster with text, images, charts, photographs, and graphs.en_US
dc.description.abstractDiscussions of experienced software engineers in various social forums (e.g., Stack Overflow) become valuable information for other software engineers to perform software development activities. These discussions centered around software-specific entities (e.g., tools, libraries, and APIs) where software engineers provide their opinions on the various aspects (e.g., bug, performance, and security) of the entities. Such opinions are often embedded with sentiments (i.e., positive or negative) that play crucial roles to a considerable degree in the perceptions of other software engineers about those entities. That perceptions influence the decisions they make about whether and how they should use those entities for software development. However, given the plethora of information posted in unstructured formats in technical social forums, it is a challenging task for a software engineer to mine the opinions manually and make informed decisions about those entities. Here, we envision an automated software system that will mine the technical discussions from the unstructured content of social forums and generate opinions on the various aspects of the entities.en_US
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programsen_US
dc.relation.ispartofseriesUSGZE AS589;
dc.subjectSoftware engineeringen_US
dc.subjectOpinion Miningen_US
dc.subjectComputer software developmenten_US
dc.subjectSocial networksen_US
dc.subjectDepartment of Computer Scienceen_US
dc.titleToward an Opinion Mining System in Software Engineeringen_US

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  • Student Research Day
    Posters of collaborative student/faculty research presented at Student Research Day

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