Reliability Modeling, Analysis and Optimization

Part III: Software Reliability Modeling

Chapter List

Chapter 13: Asymptotic Properties of a Software Reliability Growth Model with Imperfect Debugging A Martingale Approach
Chapter 14: A Two-Level Continuous Sampling Plan for Software Systems
Chapter 15: Software Reliability Analysis and Optimal Release Problem Based on a Flexible Stochastic Differential Equation Model in Distributed Development Environment
Chapter 16: An Extended Delayed S-Shaped Software Reliability Growth Model Based on Infinite Server Queuing Theory
Chapter 17: Disappointment Probability Based on theNumber of Debuggings for Operational Software Availability Measurement

Winai Bodhisuwan

Department of Applied Statistics,
King Mongkut s Institute of Technology North Bangkok,
Bangkok, 10800, Thailand

Panlop Zeephongsekul

Department of Mathematics and Statistics,
RMIT University, Melbourne 3001, Australia

1. Introduction

A key objective of modern software engineering is targeted towards identifying and removing existing defects in a piece of software while preventing the injection of new ones. This is done during the testing phase of the development process where the aim is to ensure that the software reaches the required quality standard before it is released into the market place. In order to be able to effectively manage software defects, it is important that the production team be able to monitor the performance of the software. One very effective way of achieving this is to produce a stochastic model to predict when failures are likely to occur, fit it using empirical data and then use the estimated model to calculate important metrics such as rate of occurrence of failures, mean time to failure and to predict how much defects remain...

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