Crowd-Informed Goal Models

Kanchev, G.M. and Murukannaiah, P.K. and Chopra, A.K. (2018) Crowd-Informed Goal Models. In: 2018 5th International Workshop on Artificial Intelligence for Requirements Engineering (AIRE). IEEE, pp. 47-53. ISBN 9781538684047

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Abstract

A topic of recent interest is how to apply crowdsourced information toward producing better software requirements. A research question that has received little attention so far is how to leverage crowdsourced information toward creating better-informed models of requirements. In this paper, we contribute a method following which information in online discussions may be leveraged toward constructing goal models. A salient feature of our method is that it applies high-level queries to draw out potentially relevant information from discussions. We also give a subjective logic-based method for deriving an ordering of the goals based on the amount of supporting and rebutting evidence in the discussions. Such an ordering can potentially be applied toward prioritizing goals for implementation. © 2018 IEEE.

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Contribution in Book/Report/Proceedings
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©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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ID Code:
131546
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Deposited On:
15 Mar 2019 16:35
Refereed?:
Yes
Published?:
Published
Last Modified:
12 Jul 2020 00:24