Estimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software Projects
نویسندگان
چکیده
منابع مشابه
Estimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software Projects
Defining the project estimated cost, duration and maintenance effort early in the development life cycle is a valuable goal to be achieved for software projects. Many model structures evolved in the literature. These model structures consider modeling software effort as a function of the developed line of code (DLOC). Building such a function helps project managers to accurately allocate the av...
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15 صفحه اولParameters Estimation of the COCOMO Model Using Hybrid Algorithm of Genetic Algorithm and Cuckoo Search Algorithm
The Constructive Cost Model (COCOMO) is one of the famous software cost estimation model developed by Barry W. Boehm. This model is used to estimate software costs, duration and maintenance efforts early in the development life cycle. COCOMO model has a simple function with two parameters to be estimated. Many techniques were used to estimate those parameters such as fine tuning and better pred...
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The COCOMO Model is well known as the currently predominate model for software cost estimation. It allows one to work from linguistic variables to estimate software project effort and schedule. This basis in linguistic variables encourages research of the COCOMO Model as a fuzzy system. As is known in fuzzy circles and is shown here, fuzzy arithmetic based on the popular fuzzy extension princip...
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One of important aspects of software projects is estimating the cost and time required to develop projects. Nowadays, this issue has become one of the key concerns of project managers. Accurate estimation of essential effort to produce and develop software is heavily effective on success or failure of software projects and it is highly regarded as a vital factor. Failure to achieve convincing a...
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ژورنال
عنوان ژورنال: Journal of Computer Science
سال: 2006
ISSN: 1549-3636
DOI: 10.3844/jcssp.2006.118.123