Enhanced Classification Approach for Dynamic Software Quality Prediction

Authors

  • G. Rajendra  Research Scholar, Department of Computer Science, Rayalaseema University, Andhra Pradesh, India
  • Dr.M.Babu Reddy  Hod, Department of Computer Science, Krishna University, Andhra Pradesh, India

Keywords:

Software defect production, association rule mining, classification, Defect testing, cost and database.

Abstract

Consider the quick improvement of the item headway application get ready in show days. Programming headway application holds a couple of absconds in introducing/executing programming things. They are cost and intense development programming progression in testing the aftereffect of the item. Usually a level of the data burrowing frameworks were made for recognize programming deformation desire from various data set applications from obvious data. One pass count is one of the frameworks for getting to organizations and diverse idiosyncrasies of the planning units logically programming application headway including the tricks of programming application like thing expense and testing thing. Programming quality and testing profitability are the essential contrivances in programming blemish figure. So in this paper we propose to make insightful portrayal count to decrease cost of the item testing change and cost estimation for programming application process. This method propose to make programming quality and testing efficiency in by building perceptive modules from code attributes present in released thing sets. In this framework, utilize data association fundamental burrowing events for finding support and sureness for each data thing present dynamically programming application headway with property portrayal. This approach is help to engineers recognize programming absconds and bolster wander organization in assigning testing methods with resources feasibly.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-10-30

Issue

Volume 2, Issue 5, September-October-2016

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
G. Rajendra, Dr.M.Babu Reddy, " Enhanced Classification Approach for Dynamic Software Quality Prediction, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 5, pp.555-561, September-October-2016.