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An Insight to Soft Computing based Defect Prediction Techniques in Software
Author(s) -
Kritika Verma,
Pradeep Singh
Publication year - 2015
Publication title -
international journal of modern education and computer science
Language(s) - English
Resource type - Journals
eISSN - 2075-017X
pISSN - 2075-0161
DOI - 10.5815/ijmecs.2015.09.07
Subject(s) - computer science , reliability (semiconductor) , software , reliability engineering , product (mathematics) , software quality , quality (philosophy) , software development , operating system , power (physics) , philosophy , physics , geometry , mathematics , epistemology , quantum mechanics , engineering
Nowadays, the complexity and size of software systems is proliferating. These factors have various pros and cons. On one side where they lead to better performance and satisfactory results, on the other side they lead to high testing cost , wacky results , poor quality and non-reliability of the product. These problems have one root cause which is referred to as defects in the software systems Predicting these defects can not only rule out the cons but can also boost up the pros. Various techniques are present for the same which are reviewed in depth in this paper. Moreover, a comparison of these techniques is also done to throw a lime light on those which provide the best results.

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