International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2569

Full Length Research Paper

Optimization of software engineering resources using improved genetic algorithm

  Lu Lu* and Xiuxia Quan  
School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, P. R. China.
Email: [email protected]

  •  Accepted: 14 March 2011
  •  Published: 04 April 2011



The arrangement of the human and material resources is an important issue in the software development process. To effectively solve the distribution optimization of software engineering resources, an improved genetic algorithm with heuristic feedback is constructed in this work. The proposed approach employs the executive matrix as chromosome which covers the matrix coding chromosome planning and allocation of resources, extracts the heuristic feedback from these obtained solutions, and applies the heuristic feedback to guide the subsequent optimization process. The experimental results suggest that this proposed approach makes a rational distribution of resources and provides a scientific basis for improving the efficiency of software development and the quality of software.


Key words: Genetic algorithms, software engineering, allocation of resources, activity network.