JSSM  Vol.2 No.1 , March 2009
A Fuzzy Model for Evaluating Cultivation Quality of Talents of Software Engineering at the Campus Universities
Abstract: In order to measure the quality of talent cultivation at the school of software engineering, a quality evaluation model based on fuzzy theory is put forward. In the model, a three-layer architecture, which is composed of overall goal layer, second goal layer, and attribute layer, is set up. It places emphasis on the demand of talents with practicability and engineering in the field of software engineering. Then a case is used in the model to illustrate its effectiveness. The experimental results show that the model can comparatively better evaluate the quality of talent cultivation, reach the expected objective, and fulfill the practical demand. According to the model, a quality evaluation software system is developed while a rainfall lifecycle development model and Microsoft Visual C++ Development Studio are utilized.
Cite this paper: nullY. Lu, D. Yan and B. Liu, "A Fuzzy Model for Evaluating Cultivation Quality of Talents of Software Engineering at the Campus Universities," Journal of Service Science and Management, Vol. 2 No. 1, 2009, pp. 56-60. doi: 10.4236/jssm.2009.21008.

[1]   J. S. J. Lin, “Study of university curriculum development for human resource management and the expectations of business managers,” International Journal of Business and Systems Research, 2(4), pp. 418-430, 2008.

[2]   P. Xiao, Y. Cheng, and Y. Yang, “Higher education hu-man resources development criterion inquisition,” Future and Development, 29(2), pp. 9-12, 2008.

[3]   N. E. Gibis, “The SEI education program the challenge of teaching future software engineers,” Communications of ACM, 32(5), pp. 594-605, 1989.

[4]   O. Hazzan, “The reflective practitioner perspective in software engineering education,” Journal of Systems and Software, 63(3), pp. 161-171, 2002.

[5]   A. J. Cowling, “What should graduating software engi-neers be able to do?” IEEE Proceedings of the 16th Con-ference on Software Engineering Education and Training, pp. 88-98, 2003.

[6]   D. T. Holt and Mitchell Crocker, “Prior negative experi-ences: their impact on computer training outcomes,” Computers & Education, 35(4), pp. 295-308, 2000.

[7]   M. M. Boulet, C. Dupuis, and N. Belkhiter, “Selecting con-tinuous training program and activities for computer profes-sionals,” Computers & Education, 36(1), pp. 83-94, 2001.

[8]   D. Garlan, “Making formal methods education effective for professional software engineers,” Information and Software Technology, 37(5-6), pp. 261-268, 1995.

[9]   Q. Wang, “Practical fuzzy mathematics,” Science and Technology Documentary Press, Peking, 1995.