An analysis of ambiguity detection techniques for Software Requirements Specification (SRS)

Oo, Khin Hayman and Nordin, Azlin and Ismail, Amelia Ritahani and Sulaiman, Suriani (2018) An analysis of ambiguity detection techniques for Software Requirements Specification (SRS). International Journal of Engineering & Technology, 7 (2.29 (Special Issue 29)). pp. 501-505. ISSN 2227-524X

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Abstract

Ambiguity is the major problem in Software Requirements Specification (SRS) documents because most of the SRS documents are writ-ten in natural language and natural language is generally ambiguous. There are various types of techniques that have been used to detect ambiguity in SRS documents. Based on an analysis of the existing work, the ambiguity detection techniques can be categorized into three approaches: (1) manual approach, (2) semi-automatic approach using natural language processing, (3) semi-automatic approach using machine learning. Among them, one of the semi-automatic approaches that uses the Naïve Bayes (NB) text classification technique obtained high accuracy and performed effectively in detecting ambiguities in SRS.

Item Type:	Article (Journal)
Additional Information:	5133/64463
Uncontrolled Keywords:	Ambiguity; SRS; Techniques
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Azlin Nordin
Date Deposited:	10 Jul 2018 11:59
Last Modified:	22 Mar 2019 16:07
URI:	http://irep.iium.edu.my/id/eprint/64463

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