Abstract
[Context and motivation] User forums provide a virtual space in which participants post comments, upon their experience in using a software, that analysts can eventually redirect to an issue tracking system. Before users post any comment, they should search for a request that is the closest to the one they are about to submit. In doing this, they can face with large, unstructured discussions. [Question/problem] Current user forum discussions are usually developed as sequential comments that hide an explicit recognition of the attitude of the participants (i.e. “in favour” or “against”) wrt. the initial request. This poses difficulties to the analysts who should identify worth requests to be further analysed. [Principal ideas/results] The key idea in our approach is to exploit AI argumentation. The resulting argumentation-based discussion will allow participants to get an overview of the trend of such a discussion, and support analysts to identify important requests. [Contribution] In this research preview, we describe how we represent the forum’s discussion management problem in terms of AI argumentation concepts, and a sketched algorithm for supporting the forum’s participants tasks. A research plan for implementing and evaluating the proposed argumentation-based discussion is also described.
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Morales-Ramirez, I., Perini, A. (2014). Argumentation-Based Discussion for User Forum: A Research Preview. In: Salinesi, C., van de Weerd, I. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2014. Lecture Notes in Computer Science, vol 8396. Springer, Cham. https://doi.org/10.1007/978-3-319-05843-6_17
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DOI: https://doi.org/10.1007/978-3-319-05843-6_17
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