ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information

Shakeri Hossein Abad, Z; Gervasi, V; Zowghi, D; Barker, K

ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information

Shakeri Hossein Abad, Z Gervasi, V Zowghi, D

Barker, K

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2018 5th International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2018, 2018, pp. 8 - 14
Issue Date:: 2018-10-19

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Field	Value	Language
dc.contributor.author	Shakeri Hossein Abad, Z	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	2018-10-19	en_US
dc.identifier.citation	Proceedings - 2018 5th International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2018, 2018, pp. 8 - 14	en_US
dc.identifier.isbn	9781538684047	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133439
dc.description.abstract	© 2018 IEEE. Requirements elicitation requires extensive knowledge and deep understanding of the problem domain where the final system will be situated. However, in many software development projects, analysts are required to elicit the requirements from an unfamiliar domain, which often causes communication barriers between analysts and stakeholders. In this paper, we propose a requirements ELICitation Aid tool (ELICA) to help analysts better understand the target application domain by dynamic extraction and labeling of requirements-relevant knowledge. To extract the relevant terms, we leverage the flexibility and power of Weighted Finite State Transducers (WFSTs) in dynamic modeling of natural language processing tasks. In addition to the information conveyed through text, ELICA captures and processes non-linguistic information about the intention of speakers such as their confidence level, analytical tone, and emotions. The extracted information is made available to the analysts as a set of labeled snippets with highlighted relevant terms which can also be exported as an artifact of the Requirements Engineering (RE) process. The application and usefulness of ELICA are demonstrated through a case study. This study shows how pre-existing relevant information about the application domain and the information captured during an elicitation meeting, such as the conversation and stakeholders' intentions, can be captured and used to support analysts achieving their tasks.	en_US
dc.relation.ispartof	Proceedings - 2018 5th International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2018	en_US
dc.relation.isbasedon	10.1109/AIRE.2018.00007	en_US
dc.title	ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	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 requires extensive knowledge and deep understanding of the problem domain where the final system will be situated. However, in many software development projects, analysts are required to elicit the requirements from an unfamiliar domain, which often causes communication barriers between analysts and stakeholders. In this paper, we propose a requirements ELICitation Aid tool (ELICA) to help analysts better understand the target application domain by dynamic extraction and labeling of requirements-relevant knowledge. To extract the relevant terms, we leverage the flexibility and power of Weighted Finite State Transducers (WFSTs) in dynamic modeling of natural language processing tasks. In addition to the information conveyed through text, ELICA captures and processes non-linguistic information about the intention of speakers such as their confidence level, analytical tone, and emotions. The extracted information is made available to the analysts as a set of labeled snippets with highlighted relevant terms which can also be exported as an artifact of the Requirements Engineering (RE) process. The application and usefulness of ELICA are demonstrated through a case study. This study shows how pre-existing relevant information about the application domain and the information captured during an elicitation meeting, such as the conversation and stakeholders' intentions, can be captured and used to support analysts achieving their tasks.

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http://hdl.handle.net/10453/133439