V.A. Galkin – Ph.D. (Eng.), Associate Professor,

Information Processing and Control Systems Department, Bauman Moscow State Technical University

E-mail: galkin@bmstu.ru

I.S. Biushkin − Master,

Information Processing and Control Systems Department, Bauman Moscow State Technical University

E-mail: biushkin.iwan@yandex.ru

The article describes the minimum set of parameters for a general assessment of the models under consideration: COCOMO, COCOMO model I and COCOMO model II.

Evaluation of software development efforts is considered a fundamental task for the software development life cycle, as well as for managing project costs, time costs and quality. Thus, an accurate assessment is essential to the success of the project and to reduce potential risks. In this paper, the Firefly algorithm is proposed as a method for metaheuristic optimization of the parameters of three models based on COnstructive COst MOdel (COCOMO − model of development costs) − this is an algorithmic model for estimating the cost of software development developed by Barry Boehm. This is actually the basic COCOMO model and two expansion models. The experimental results show high accuracy and significant minimization of errors of the Firefly algorithm compared to other metaheuristic optimization algorithms such as the Genetic algorithm and Particle Swarm.

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