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Knowledge Extraction in Requirement Engineering with Machine Learning Perspective

Published on July 2015 by Geet Sandhu, Atish, Shally Pal, Pratap Pal
journal_cover_thumbnail

Innovations in Computing and Information Technology (Cognition 2015)
Foundation of Computer Science USA
COGNITION2015 - Number 3
July 2015
Authors: Geet Sandhu, Atish, Shally Pal, Pratap Pal
4be972a6-7f94-485f-b026-305a92f4f684

Geet Sandhu, Atish, Shally Pal, Pratap Pal . Knowledge Extraction in Requirement Engineering with Machine Learning Perspective. Innovations in Computing and Information Technology (Cognition 2015). COGNITION2015, 3 (July 2015), 10-13.

@article{
author = { Geet Sandhu, Atish, Shally Pal, Pratap Pal },
title = { Knowledge Extraction in Requirement Engineering with Machine Learning Perspective },
journal = { Innovations in Computing and Information Technology (Cognition 2015) },
issue_date = { July 2015 },
volume = { COGNITION2015 },
number = { 3 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 10-13 },
numpages = 4,
url = { /proceedings/cognition2015/number3/21900-2141/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Innovations in Computing and Information Technology (Cognition 2015)
%A Geet Sandhu
%A Atish
%A Shally Pal
%A Pratap Pal
%T Knowledge Extraction in Requirement Engineering with Machine Learning Perspective
%J Innovations in Computing and Information Technology (Cognition 2015)
%@ 0975-8887
%V COGNITION2015
%N 3
%P 10-13
%D 2015
%I International Journal of Computer Applications
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
  1. IEEE Std 610. 12-1990, IEEE Standard Glossary of Software Engineering Terminology, 1990. .
  2. R. Saranya, "Survey on Security Measures of Software Requirement Engineering", International journal of computer applications, vol 90, no 17, 2014.
  3. Hagal M. A, Alshareef, "A systematic approach to generate and clarify consistent requirements", IT convergence and security conference, IEEE, INSPEC accession no. 14047633, December 2013.
  4. Khatter et. al, "Impact of Non-functional Requirements on requirement evolution", 6th ICETET 2013, IEEE,2013.
  5. IEEE Std 830-1998, IEEE Recommended Glossary of Software Requirement Specification", 1998.
  6. Alpahydin, "Introduction to machine learning", PHI Learning Private Limited, 2008 edition .
  7. Wang et. al, 2003. Machine learning for keyphrase extraction based on Naïve Bayesian Classifier.
  8. Sultanov et. al , "Application of Reinforcement learning to Requirement Engineering-Requirement Tracing", IEEE,2013
  9. Dimitriadis et. al , "Applying Machine Learning to extract new knowledge in precision agriculture applications", Panhellenic Conference on Informatics, IEEE, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Requirement Engineering-re Reinforcement Learning-rl Machine Learning-ml