SCIRP Mobile Website
Paper Submission

Why Us? >>

  • - Open Access
  • - Peer-reviewed
  • - Rapid publication
  • - Lifetime hosting
  • - Free indexing service
  • - Free promotion service
  • - More citations
  • - Search engine friendly

Free SCIRP Newsletters>>

Add your e-mail address to receive free newsletters from SCIRP.

 

Contact Us >>

Article citations

More>>

A. Robinson, J. Davila and M. Feinstein, “Genetic Programming: Theory, Implementation, and the Evolution of Unconstrained Solutions,” Hampshire College, 2001.

has been cited by the following article:

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

    AUTHORS: Zainab ALRahamneh, Mohammad Reyalat, Alaa F. Sheta, Sulieman Bani-Ahmad, Saleh Al-Oqeili

    KEYWORDS: Software Reliability, Genetic Programming, Modeling, Software Faults

    JOURNAL NAME: Journal of Software Engineering and Applications, Vol.4 No.8, August 2, 2011

    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 generalize. In this paper we propose the use of Genetic Programming (GP) as an eVolutionary computation approach to handle the software reliability modeling 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, Generalized Poisson, NHPP and Schneidewind reliability models.