Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BigData47090.2019.9006086 | 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) |
Keywords | Field | DocType |
Commonsense Knowledge, Domain Ontology, IMRs, Requirements Engineering, Text Mining | Data science,Commonsense knowledge,Computer science,Requirements engineering,Artificial intelligence,Deep learning,Big data,Machine learning,Software requirements | Conference |
ISSN | Citations | PageRank |
2639-1589 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Onyeka Emebo | 1 | 2 | 1.73 |
| Vaibhav K. Anu | 2 | 25 | 5.54 |
| Aparna S. Varde | 3 | 188 | 28.71 |