On the Choice of an Appropriate Software Reliability Growth Model

Abstract

Software reliability is an active field of research over the past 35 years. Software developers often feel the necessity of selecting an appropriate software reliability model that not only best depicts the past history but also can predict reasonably well the future behavior of the software being developed in respect of detected bugs and errors. This helps in estimating in advance the time of delivery as well as the overall cost of the software project. Several models have been proposed in literature for estimating software reliability under different environments. However from amongst the models developed thus far, there is not a single model that best fits all or even a majority of the real life situations and so can be universally recommended.In this study, a technique is proposed to serve as a guide for the selection of an appropriate software reliability model for an ongoing software development project. The proposed technique has been tested on various sets of available software development project datasets and it has been observed that model recommended on the basis of proposed technique is better in comparison with models recommended on the basis of other models proposed. General Terms

Exploring Ant Lion Optimization Algorithm to Enhance the Choice of an Appropriate Software Reliability Growth Model

“…The method which is used in this paper for select the best model of software reliability from SRGMs group proposed in [5] with some modification, the steps of this method are:…”

“…Najla and Marwa [8] in 2013 explored one of the Swarm Intelligence search algorithms (Cuckoo Search (CS) algorithm) to estimate software reliability growth models parameters based on the available failure data .In 2014 ,Chander and Sumit [9] presented a heuristic optimization technique called Simulated Annealing method (SA) to estimate The parameter of Goel's Okumoto Model. A proposed method was introduced in the same year by Neha Miglani [5] to select an appropriate model of software reliability, this method has been tested on available on datasets of software project under development.…”

“…(1) cannot be directly used for updating position of ants [18]. To keep ants' random walks inside the space of the search, they are normalized utilizing the equation below [17]: ………...….. (5) Where: a i : the minimum of random walk of i-th variable. bi: the maximum of random walk in i-th variable.…”

“…In this work, we studied and explored the software reliability growth model selection methodology proposed in [5] along with the application of Ant Lion Optimizer (ALO) in parameter estimation of SRGMs. Also, two numerical examples of software reliability assessment by using the failure data in the actual software projects are shown.…”

“…In Section (4) the Ant Lion Optimizer (ALO) are explained. Section (5) surveys the Method of selecting best SRGMs. Then, the experimental results based on two datasets are discussed in Section (6) and finally Section (7) presents the conclusion.…”