Software requirements is a field within software engineering that deals with the establishing the needs of the stakeholders [1]. In this paper, the concern is about the new approach and techniques for incorporating precision and consistency in requirements specifications. Besides these software requirements should be ambiguity free and complete by all means. This paper also reviews the existing work about how the ambiguity can be resolved through machine learning algorithms that can learn from the data stored through especially through data analytics. Since Machine learning deals with the issue of how to build the programs that improve their performances at some task through experience and Machine learning algorithms has proven to be of great practical value in variety of application domains. This paper focuses on approach of existing applying machine learning algorithms and their methods to specify software requirements.

1. IEEE computer society (1990). "IEEE standard glossary of software engineering terminology".
2. Pressman roger(2010) software engineering : a practitioner's Approach Boston: Mc Graw Hill:P 123 ISBN 9780073375977.
3. Nuseibeh. B; Easter brook,S(2000), "Requirements engineering :a roadmap"ICSE'00. Proceedings of the conference on the future of software engineering.
4. Kotonya, Gerald ; Sommerville Ian(September 1998). Requirements engineering :process and techniques. john wiley & sons,ISBN0-97197208-8
5. F. Brook,"No silver Bullet-essence and accidents of software engineering",IEEE computer, vol-20,no. 4, 1987, PP 10-19
6. Agrawal, Rakesh; and Srikant, Ramakrishnan;Fast algorithms for mining association rules in large databases, in Bocca, Jorge B. ; Jarke, Matthias; and Zaniolo, Carlo; editors, Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), Santiago, Chile, September 1994, pages 487-499.
7. Zaki, M. J. (2000), "Scalable algorithms for association mining". IEEE Transactions on Knowledge and Data Engineering 12 (3): 372–390. doi:10. 1109/69. 846291.
8. Kathryn l. heninger , published in IEEE transaction, vol SE-6
9. Du Zhang, Tools with artificial intelligence, 2002(ICTAI) Proceedings 14th IEEE
10. Alrajeh D,Kramer J, Russoa ,et al Elaborating requirements using modeL checking and inductive learning ,2013,(IEEE transactions on software engineering).
11. Kiri L. Wagsta?(California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109 USA)

Software Requirement Machine Learning Requirement Engineering (re)