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An automated tool support for managing implicit requirements using Analogy-based Reasoning

Emebo, Onyeka and Daramola, Olawande and Ayo, C. K. (2016) An automated tool support for managing implicit requirements using Analogy-based Reasoning. In: Research Challenges in Information Science (RCIS), 2016 IEEE Tenth International Conference , 1-3 June 2016.

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Systems requirements are crucial to the proper functioning of a software and must be met for a project to be successful. Hence the need for its effective management. Implicit Requirements (IMRs) however are difficult to manage as a result of their nature-vague, unclear, and ambiguous amongst other characteristics. The process of requirement management is a continuous cycle as change in requirements and emergence of new requirements occur in a system. Hence the need for a tool/approach which identifies and manages requirements (implicit and explicit) effectively. However, most systems do not manage implicit requirements as a lot of attention is focused on explicit requirements. This research presents an approach for identification and management of IMRs using Analogy-based Reasoning in combination with two other core technologies (Ontology and Natural Language Processing). The approach is supported by a prototype tool, which was assessed by conducting a preliminary evaluation. The results indicate that the approach enables for early identification of IMRs when used with a good domain ontology and is potentially suitable for application in practice by experts

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Ontologies, Cognition, Software, Natural language processing, Semantics, Requirements management
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 11 May 2017 11:39
Last Modified: 11 May 2017 11:39

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