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Knowledge Extraction in Requirement Engineering with Machine Learning Perspective

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IJCA Proceedings on Innovations in Computing and Information Technology (Cognition 2015)
© 2015 by IJCA Journal
COGNITION 2015 - Number 3
Year of Publication: 2015
Authors:
Geet Sandhu
Atish
Shally Pal
Pratap Pal

Geet Sandhu, Atish, Shally Pal and Pratap Pal. Article: Knowledge Extraction in Requirement Engineering with Machine Learning Perspective. IJCA Proceedings on Innovations in Computing and Information Technology (Cognition 2015) COGNITION 2015(3):10-13, July 2015. Full text available. BibTeX

@article{key:article,
	author = {Geet Sandhu and Atish and Shally Pal and Pratap Pal},
	title = {Article: Knowledge Extraction in Requirement Engineering with Machine Learning Perspective},
	journal = {IJCA Proceedings on Innovations in Computing and Information Technology (Cognition 2015)},
	year = {2015},
	volume = {COGNITION 2015},
	number = {3},
	pages = {10-13},
	month = {July},
	note = {Full text available}
}

Abstract

Requirement Engineering predicts the intended behaviour and constraints of the software solution well in advance of the software development process; hence it is a very crucial activity in the entire development process. Since requirements are specified in natural language, it becomes necessary to extract relevant knowledge from the given information. This paper reviews existing knowledge extraction techniques and gives an overview on how machine learning can help optimize knowledge extraction process.

References

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