A New Software Reliability Growth Model: Genetic-Programming-Based Approach

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@Article{journals/jsea/RahamnehRSBA11,

• author = "Zainab {Al Rahamneh} and Mohammad Reyalat and Alaa F. Sheta and Sulieman Bani-Ahmad and Saleh Al-Oqeili",
• title = "A New Software Reliability Growth Model: Genetic-Programming-Based Approach",
• journal = "Journal of Software Engineering and Applications",
• year = "2011",
• number = "8",
• volume = "4",
• pages = "476--481",
• month = aug,
• keywords = "genetic algorithms, genetic programming, SBSE, software reliability, modeling, software faults",
• URL = "http://www.scirp.org/journal/PaperInformation.aspx?paperID=6570",
• DOI = "doi:10.4236/jsea.2011.48054",
• size = "6 pages",
• abstract = "A variety of Software Reliability Growth Models (SRGM) have been presented in literature. These models suffer many problems when handling various types of project. The reason is; the nature of each project makes it difficult to build a model which can generalise. In this paper we propose the use of Genetic Programming (GP) as an evolutionary computation approach to handle the software reliability modelling problem. GP deals with one of the key issues in computer science which is called automatic programming. The goal of automatic programming is to create, in an automated way, a computer program that enables a computer to solve problems. GP will be used to build a SRGM which can predict accumulated faults during the software testing process. We evaluate the GP developed model and compare its performance with other common growth models from the literature. Our experiments results show that the proposed GP model is superior compared to Yamada S-Shaped, Generalised Poisson, NHPP and Schneidewind reliability models.",
• bibdate = "2011-11-08",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/jsea/jsea4.html#RahamnehRSBA11",

}

Genetic Programming entries for Zainab Al-Rahamneh Mohammad Reyalat Alaa Sheta Sulieman Bani-Ahmad Saleh Al-Oqeili

Citations