Utilizing Faults and Time to Finish Estimating the Number of Software Test Workers Using Artificial Neural Networks and Genetic Programming
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- @InProceedings{sheta:2019:ISTSL,
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author = "Alaa Sheta and Sultan Aljahdali and Malik Braik",
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title = "Utilizing Faults and Time to Finish Estimating the
Number of Software Test Workers Using Artificial Neural
Networks and Genetic Programming",
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booktitle = "International Conference Europe Middle East \& North
Africa Information Systems and Technologies to Support
Learning, EMENA-ISTL 2018",
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year = "2019",
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editor = "Alvaro Rocha and Mohammed Serrhini",
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volume = "111",
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series = "Smart Innovation, Systems and Technologies",
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pages = "613--624",
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address = "Fez, Morocco",
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month = "25-27 " # oct,
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organisation = "AISTI",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, SBSE, ANN,
Prediction of test workers, Software testing, Project
management, Artificial Neural Networks",
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isbn13 = "978-3-030-03576-1",
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ISSN = "2190-3018",
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URL = "http://link.springer.com/chapter/10.1007/978-3-030-03577-8_67",
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DOI = "doi:10.1007/978-3-030-03577-8_67",
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abstract = "Time, effort and the estimation of number of staff
desired are critical tasks for project managers and
particularly for software projects. The software
testing process signifies about 40-50percent of the
software development lifecycle. Faults are detected and
corrected during software testing. Accurate prediction
of the number of test workers necessary to test a
software before the delivery to a customer will save
time and effort. In this paper, we present two models
for estimating the number of test workers required for
software testing using Artificial Neural Networks (ANN)
and Genetic Programming (GP). We use the expected time
to finish testing and the rate of change of fault
observation as inputs to the proposed models. The
proposed models were able to predict the required team
size; thus, supporting project managers in allocating
the team effort to various project phases. Both models
yielded promising estimation results in real-time
applications.",
- }
Genetic Programming entries for
Alaa Sheta
Sultan Aljahdali
Malik Shehadeh Braik
Citations