Department of Computer Engineering, Faculty of Science, Kerman Branch, Islamic Azad University, Kerman, Iran
Abstract
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. In this paper, a hybrid model is proposed to estimate the effort of software projects. The proposed model is a combination of particle swarm optimization algorithm and a linear regression method in which coefficient finding is optimally performed. Moreover, the estimation equation is adjusted using project size metric so that the most accurate estimate is achieved. A relatively real large data set is employed to evaluate the performance of the proposed model and the results are compared with other models. The obtained results showed that the proposed hybrid model can improve the accuracy of estimates.
Khatibi, E., Khatibi Bardsiri, V. (2018). An Improved Algorithmic Method for Software Development Effort Estimation. Journal of Advances in Computer Research, 9(1), 41-49.
MLA
Elham Khatibi; Vahid Khatibi Bardsiri. "An Improved Algorithmic Method for Software Development Effort Estimation". Journal of Advances in Computer Research, 9, 1, 2018, 41-49.
HARVARD
Khatibi, E., Khatibi Bardsiri, V. (2018). 'An Improved Algorithmic Method for Software Development Effort Estimation', Journal of Advances in Computer Research, 9(1), pp. 41-49.
VANCOUVER
Khatibi, E., Khatibi Bardsiri, V. An Improved Algorithmic Method for Software Development Effort Estimation. Journal of Advances in Computer Research, 2018; 9(1): 41-49.
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