Dynamic visual analytics for elicitation meetings with ELICA

Abad, ZSH; Rahman, M; Cheema, A; Gervasi, V; Zowghi, D; Barker, K

Dynamic visual analytics for elicitation meetings with ELICA

Abad, ZSH Rahman, M Cheema, A Gervasi, V Zowghi, D

Barker, K

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2018 IEEE 26th International Requirements Engineering Conference, RE 2018, 2018, pp. 492 - 493
Issue Date:: 2018-10-12

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Field	Value	Language
dc.contributor.author	Abad, ZSH	en_US
dc.contributor.author	Rahman, M	en_US
dc.contributor.author	Cheema, A	en_US
dc.contributor.author	Gervasi, V	en_US
dc.contributor.author	Zowghi, D https://orcid.org/0000-0002-6051-0155	en_US
dc.contributor.author	Barker, K	en_US
dc.date.issued	2018-10-12	en_US
dc.identifier.citation	Proceedings - 2018 IEEE 26th International Requirements Engineering Conference, RE 2018, 2018, pp. 492 - 493	en_US
dc.identifier.isbn	9781538674185	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133406
dc.description.abstract	© 2018 IEEE. Requirements elicitation can be very challenging in projects that require deep domain knowledge about the system at hand. As analysts have the full control over the elicitation process, their lack of knowledge about the system under study inhibits them from asking related questions and reduces the accuracy of requirements provided by stakeholders. We present ELIC, a generic interactive visual analytics tool to assist analysts during requirements elicitation process. ELICA uses a novel information extraction algorithm based on a combination of Weighted Finite State Transducers (WFSTs) (generative model) and SVMs (discriminative model). ELICA presents the extracted relevant information in an interactive GUI (including zooming, panning, and pinching) that allows analysts to explore which parts of the ongoing conversation (or specification document) match with the extracted information. In this demonstration, we show that ELICA is usable and effective in practice, and is able to extract the related information in real-time. We also demonstrate how carefully designed features in ELICA facilitate the interactive and dynamic process of information extraction.	en_US
dc.relation.ispartof	Proceedings - 2018 IEEE 26th International Requirements Engineering Conference, RE 2018	en_US
dc.relation.isbasedon	10.1109/RE.2018.00068	en_US
dc.title	Dynamic visual analytics for elicitation meetings with ELICA	en_US
dc.type	Conference Proceeding
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Graduate Research School
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Strength - STEM Education Futures
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Requirements elicitation can be very challenging in projects that require deep domain knowledge about the system at hand. As analysts have the full control over the elicitation process, their lack of knowledge about the system under study inhibits them from asking related questions and reduces the accuracy of requirements provided by stakeholders. We present ELIC, a generic interactive visual analytics tool to assist analysts during requirements elicitation process. ELICA uses a novel information extraction algorithm based on a combination of Weighted Finite State Transducers (WFSTs) (generative model) and SVMs (discriminative model). ELICA presents the extracted relevant information in an interactive GUI (including zooming, panning, and pinching) that allows analysts to explore which parts of the ongoing conversation (or specification document) match with the extracted information. In this demonstration, we show that ELICA is usable and effective in practice, and is able to extract the related information in real-time. We also demonstrate how carefully designed features in ELICA facilitate the interactive and dynamic process of information extraction.

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http://hdl.handle.net/10453/133406