A New Software Reliability Growth Model: Genetic-Programming-Based Approach
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gp-bibliography.bib Revision:1.7970
- @Article{journals/jsea/RahamnehRSBA11,
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author = "Zainab {Al Rahamneh} and Mohammad Reyalat and
Alaa F. Sheta and Sulieman Bani-Ahmad and Saleh Al-Oqeili",
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title = "A New Software Reliability Growth Model:
Genetic-Programming-Based Approach",
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journal = "Journal of Software Engineering and Applications",
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year = "2011",
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number = "8",
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volume = "4",
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pages = "476--481",
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month = aug,
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keywords = "genetic algorithms, genetic programming, SBSE,
software reliability, modeling, software faults",
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URL = "http://www.scirp.org/journal/PaperInformation.aspx?paperID=6570",
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DOI = "doi:10.4236/jsea.2011.48054",
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size = "6 pages",
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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.",
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bibdate = "2011-11-08",
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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