University Links: Home Page | Site Map
Covenant University Repository

Identifying Implicit Requirements in SRS Big Data

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).

[img] PDF
Download (521kB)


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

Actions (login required)

View Item View Item