Particle Swarm Optimization for Predicting the Development Effort of Software Projects
نویسندگان
چکیده
منابع مشابه
A Novel Particle Swarm Optimization Approach for Software Effort Estimation
Software Effort Estimation (SEE) is one of the main activities in development of the software projects. Effort estimation in primary stages of development of the software is one of the important challenges the software projects manager faces. One of the common models of SEE is the Constructive Cost Model (COCOMO) model. In this model, the effort for development of the software projects is a fun...
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Statistical and genetic programming techniques have been used to predict the software development effort of large software projects. In this paper, a genetic programming model was used for predicting the effort required in individually developed projects. Accuracy obtained from a genetic programming model was compared against one generated from the application of a statistical regression model....
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The analysis of flow in water-distribution networks with several pumps by the Content Model may be turned into a non-convex optimization uncertain problem with multiple solutions. Newton-based methods such as GGA are not able to capture a global optimum in these situations. On the other hand, evolutionary methods designed to use the population of individuals may find a global solution even for ...
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An Improved Algorithmic Method for Software Development Effort Estimation
Accurate estimating is one of the most important activities in the field of software project management. Different aspects of software projects must be estimated among which time and effort are of significant importance to efficient project planning. Due to complexity of software projects and lack of information at the early stages of project, reliable effort estimation is a challenging issue. ...
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ژورنال
عنوان ژورنال: Mathematics
سال: 2020
ISSN: 2227-7390
DOI: 10.3390/math8101819