Author(s): Ankita Rathore, Anand Rajavat

Email(s): ankitarathore23e@gmail.com , anandrajavat@yahoo.co.in

DOI: 10.5958/2321-581X.2017.00033.2   

Address: Ankita Rathore, Dr. Anand Rajavat
Department of Computer Science and Engineering, S.V.I.T.S., Indore- 453111 Dist-Indore (M.P) India.
*Corresponding Author

Published In:   Volume - 8,      Issue - 3,     Year - 2017


ABSTRACT:
A Bug forecasting modelis a building model of something that could turn out badly in the development or operation of a bit of contraption. From the model, the planner or client can then anticipate the outcomes of this specific blame. Blame models can be utilized as a part of near all branches of building. Unwavering quality is a characteristic normal for a framework's wellbeing, and can be utilized as a part of conditions, checking and prescient protection This paper proposes utilizing a reproduction model of programming testing to assess the cost viability of test exertion assignment techniques in light of blame forecast comes about. Utilizing unsupervised procedures like bunching is a helpful worldview for blame expectation in programming modules in this paper, we acquaint a grouping calculation with group programming modules together so as to lessen excess. For a situation think about applying shortcoming forecast of a smaller than expected framework to acknowledgment testing in the media transmission industry, comes about because of our recreation model be seen that the best methodology was to give the test exertion a chance to be proportional.[1]


Cite this article:
Ankita Rathore, Anand Rajavat. Result Evaluation of Bug Forecasting Model in Software Engineering. Research J. Engineering and Tech. 2017; 8(3): 208-212. doi: 10.5958/2321-581X.2017.00033.2

Cite(Electronic):
Ankita Rathore, Anand Rajavat. Result Evaluation of Bug Forecasting Model in Software Engineering. Research J. Engineering and Tech. 2017; 8(3): 208-212. doi: 10.5958/2321-581X.2017.00033.2   Available on: https://ijersonline.org/AbstractView.aspx?PID=2017-8-3-8


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DOI: 10.5958/2321-581X 


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