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Fault Prediction On The Object Oriented Software Metrics Essay

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Fault prediction in a quantitative way of different Types of Inheritance on the Object Oriented Software Metrics
Osama-ur-Rehman, Malik Imran Sabir
Computer & Software Engineering Department, Bahria University
Karachi, Pakistan osamaurrehman@gmail.com malik_imrans@yahoo.com

Abstract— Software testing of a system is a most critical process. Fault prediction models automatically identify fault-prone classes before testing. These models we can be used to reduce duration of testing, risk in projects, resources and infrastructure costs. Such predictions can be used to target improvement efforts to those modules that need it the most. The application of metrics to build models can assist to focus quality improvement efforts to modules that are likely to be faulty during operations. In this paper we study fault prediction in a quantitative way for different types of inheritance. We also studied that how this fault can be predicted with multi level inheritance.
Keywords – fault prediction, OO metrics, prediction models, multi-level inheritance, software engineering, fault-prone classes
I. INTRODUCTION
One of the most important factors when developing software is the early detection of faulty software for reducing development cost and assuring software quality. If the faultiness is not detected in the early stages and if detected and not fixed, than it will carry on throughout the project and the cost for fixing it after the delivery would be more than 50% or could be 100%

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