Emebo, Onyeka and Vaibhav, Anu and Aparna, Varde S. (2019) Identifying Implicit Requirements in SRS Big Data. In: International Conference on Big Data (Big Data).
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Abstract
Over the past few years, we have worked on pioneering an approach that employs Commonsense Knowledge (CSK) to automate the identification of Implicit Requirements (IMRs) from text in large Software Requirements Specifications (SRS) documents. This paper builds on our IMR-identification approach by adding CNN-based deep learning to detect IMRs from complex SRS big data such as images and tables.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Commonsense Knowledge, Domain Ontology, IMRs, Requirements Engineering, Text Mining |
| 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 Hannah Akinwumi |
| Date Deposited: | 21 Jun 2021 12:27 |
| Last Modified: | 21 Jun 2021 12:27 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/14806 |
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