Emebo, Onyeka and Daramola, Olawande and Ayo, C. K. (2018) PROMIRAR: Tool for Identifying and Managing Implicit Requirements in SRS Documents. In: Proceedings of the World Congress on Engineering and Computer Science 2018 Vol I, October 23-25, 2018, San Francisco, USA.
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Abstract
Implicit requirements (IMRs) in software requirements specifications (SRS) are subtle and need to be identified as users may not provide all information upfront. It is found that successful functioning of a software crucially depends on addressing its IMRs. This work presents a novel system called PROMIRAR with an integrated framework of Natural Language Processing, Ontology and Analogy based Reasoning for managing Implicit Requirements. It automates early identification and management of IMRs and is found helpful in targeted application domain. We present the PROMIRAR system with its architecture, demo and evaluation.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | analogy-based reasoning, implicit requirement, natural language processing, ontology, requirement engineering |
| Subjects: | Q Science > Q Science (General) 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: | 13 Nov 2019 14:43 |
| Last Modified: | 13 Nov 2019 14:43 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/12961 |
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