An NHPP SRGM with Change Point and Multiple Releases

An NHPP SRGM with Change Point and Multiple Releases

Abhishek Tandon (Shaheed Sukhdev College of Business Studies University of Delhi, New Delhi, India), Anu G. Aggarwal (University of Delhi, New Delhi, India) and Nidhi Nijhawan (University of Delhi, New Delhi, India)
DOI: 10.4018/IJISSS.2016100105
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Abstract

In an environment of intense competition, software upgrades have become the necessity for the survival in software industry. In this paper, the authors propose a discrete Software Reliability Growth Model (SRGM) for the software with successive releases by taking into consideration the realistic assumption that Fault Removal Rate (FRR) may not remain constant during the testing process, it changes due to severity of faults detected and due to change in strategies adapted by testing team and the time point where FRR changes is called the Change Point. Many researchers have developed SRGMs incorporating the concept of Change Point for single release software. The proposed model aims to present multi release software reliability modeling with change point. Discrete logistic distribution function has been used to model relationship between features enhancement and fault removal. It is helpul in developing a flexible SRGM, which is S-shaped in nature. In order to evaluate the proposed SRGM, parameter estimation is done using the real life data set for software with four releases and the goodness-of-fit of this model is analyzed.
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Introduction

Over the years as time goes by, the technology change and evolve. These technologies provide an upgrade path for those too timid or wise to jump head-first into the latest wave of IT offerings. Realizing the great importance of current and future business needs, software developers offer latest version of their software through the addition of new functionality. To keep pace with the latest Software developments, the only way is to create great products through constant learning and improvement upon them, and thus release the software multiple times with added features and capabilities that enhance the functionality and usability of their software. Although these technologies and up-gradations of software application provides a smoother way toward a modern system, they often results to a complex and sometimes painful process that affects the entire working environment of organization. An upgrade of software is valuable if it results in increased reliability and reduced security risks. Reliability is the most important quality metric that is quantified in terms of the estimated number of faults remaining in the software system and is significantly used to measure the quality of software. Software reliability growth models (SRGMs) are used to predict the reliability and to assess software quantitatively. Many SRGMs have been developed in the last two decades that can describe the reliability growth during the testing phase of the software development (Kapur, Pham, & Jha, 2011; Xie, Hu, Wu, & Ng, 2007). These models were proposed for the software in which no further enhancement is made and are released once into market. In today’s time there is a need for a modeling framework which presents a testing and debugging process of multi release software systems. Only a few attempts have been made to model multi-release software development process. In this paper we present a discrete modeling framework for multiple releases of software by considering the realistic assumption of having the change point in the testing time. During testing phase of software development process, the fault removal rate may not remain constant throughout but may change after some testing periods. Thus change point may appear notably when there is a non-monotonic increase or decrease in software failure intensity function. It happens due to changes in various factors such as operating environment, testing strategy, testing tools or techniques, nature of faults detected, defect density etc. In the next section, we briefly discuss the work done so far in this field.

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