Software Testing Optimization from Defect Management Models
Raghvendra Omprakash Singh1, Yuvraj B. Hembade2, Rohit S. Kulkarni3

1Raghvendra Omprakash Singh, Computer Engineering Department G.M Vedak Institute of Technology,Tala Mumbai University India.
2Yuvraj B. Hembade, Student of Master In Technology in CS Sobhasaria Engineering College, Sikar Rajasthan Technical University, Kota –India.
3Mr.Rohit S. Kulkarni, Student of Master In Technology in CS Sobhasaria Engineering College, Sikar Rajasthan Technical University, Kota –India.
Manuscript received on December 08, 2014. | Revised Manuscript received on December 15, 2014. | Manuscript published on January 05, 2014. | PP: 164-167 | Volume-3 Issue-6, January 2014. | Retrieval Number: F2034013614/2014©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Quality of software is dependent on various attributes such as testing, metric and prediction of bugs before deployment which will lead to effective maintenance. Software complexity and bugs again are interrelated. In this paper we are making a comparative study of defect prediction mechanisms. We propose few design ideas for empirical prediction of defect decay. Our research direction will be triggered by the design ideas we are going to propose. We intend to propose a holistic model for correct prediction of defect decay. We also want to perform empirical validation of our model and fine tune it so that its estimates are better than state-of-the-art.
Keywords: Defect Prediction, defect decay, quality, testing, metrics.