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Cost estimation of software development: improving the COCOMO model using a genetic algorithm approach

Author

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  • Jafar Razmi
  • Reza Ghodsi
  • Marzieh Jokar

Abstract

The use of computers and Information Technology (IT) solutions is a vital necessity for enterprises, which requires continuously increasing investments in hardware and software applications. Prior to any software development project estimation of cost has to be carried out. Because of the complex nature of software applications, it is often difficult to predict the cost of software development accurately. Recently, various methods have been proposed by researchers to predict the effort of software projects and estimate the cost accordingly. In this study, first a discussion on the major available models for software cost estimation along with their strengths and weaknesses is presented. Next, using Genetic Algorithms (GAs), three new models are introduced in order to estimate the cost of software development projects. The performances of these three models are tested using real data. The results show that the proposed models are able to provide better estimates in comparison to previously discussed models.

Suggested Citation

  • Jafar Razmi & Reza Ghodsi & Marzieh Jokar, 2009. "Cost estimation of software development: improving the COCOMO model using a genetic algorithm approach," International Journal of Management Practice, Inderscience Enterprises Ltd, vol. 3(4), pages 346-368.
    • Handle: RePEc:ids:ijmpra:v:3:y:2009:i:4:p:346-368
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