Requirements Engineering Model in Designing Complex Systems
الموضوعات :
Farhad Zivari- Khorsand
1
(
University of Applied Science and Technology, Tehran, Iran
)
Rassoul Noorossana
2
(
Iran university of Science and Technology, Tehran, Iran
)
Jafar Gheidar-Kheljani
3
(
Malek Ashtar University of Technology, Tehran, Iran
)
الکلمات المفتاحية: decision making, Requirements Elicitation, Available Technologies, hierarchical analysis,
ملخص المقالة :
This research tends to development of the requirements elicitation methodology with regard to operational nature and hierarchical analysis for complex systems and also, regarding available technologies. This methodology applies Analytic Hierarchy Process(AHP)and Analytic Network Process(ANP) to ensure traceability of planned qualitative and quantitative data from requirements to available technologies in hierarchical model. Studies show that about 22% of project failures in complex systems relate to incomplete requirements and variation in requirements. This methodology tends to increase knowledge and decrease uncertainties through leading design team in a structured process. Based on previous methods, a new methodology developed to remove the above-said complexity or challenges, performing to hierarchically decrease requirements i.e expectations of the stakeholders, i.e accessible technologies in developing system. A category of requirements is created to classify the information gathered during the problem definition. This research applies to aerial systems as systems with high complexity for methodology validation.
Bode, J. and Fung, R. Y. K.(1998).Costengineering with quality function deployment, Computers & Industrial Engineering, vol. 35, pp. 587-590.
Bouchereau, V. and Rowlands, H.(2000).Methodsand techniques to help quality function deployment (qfd), Benchmarking, vol. 7, no. 1, pp. 8.
Cristiano, J. J., Liker, J. K., and White, III, C. C.(2000).Customer- driven product development through quality function deployment in the u.s. and japan., Journal of Product Innovation Management, vol. 17, no. 4, pp. 286-308.
Fung, R., Popplewell, K., and Xie, J.(1998). An intelligent hybrid system for customer requirements analysis and product attribute targets determination, International Journal of Production Research, vol. 36, pp. 13-34.
Fung, R., Tang, J., Tu, P. Y., and Chen, Y., Modeling of quality function deployment planning with resource
Fung, R., Tang, J., Tu, Y., andWang, D.(2002).Productdesign resources optimization using a non-linearfuzzy quality function deployment model, International Journal of Production Research, vol. 40, no. 3, pp. 585-599.
Hsiao, S.-W.(2002).Concurrentdesign method for developing a new product, International Journal of Industrial Ergonomics, vol. 29, pp.41-55.
Hull, Elizabeth, C., Jackson, K. J., and A. Jeremy, J. D.(2002).
Requirementsengineering. Springer-Verlag London.
INCOSE, Systems Engineering Handbook.(2006). A Guide for System Life Cycle Processesand Activities, no. TP-2003-002-03 in Version 3. INCOSE.(2004), Systems EngineeringHandbook, A "What To" Guide For All SE Practitioners.
Jordan, N. C., Saleh, J. H., and Newman, D. J.(2006).Theextravehicular mobility unit: A review of environment, requirements, and design changes in the us spacesuit, Acta Astronautica, vol. 59, no. 12, pp.1135-1145.
Kamara, J. M. and J., A. C.(2000).Client requirements processing for concurrent lifecycle design and construction, Concurrent Engineering: Research and Applications,8 (2), pp 74-88.
Lai, X., Xie, M., and Tan, T.(2004).Optimizingproduct design using the kano model and qfd, in 2004 IEEE International Engineering Management Conference.
Loucopoulos, P. and Karakostas, V. (1995). System Requirements Engineering.McGraw-Hill international series in software engineering.
McClure, E. K.(2006). An Evolving-Requirements Technology Assessment Process For Advanced Propulsion Concepts. PhD thesis, Georgia Institute of Technology.
Orchard, M N; Newman, S. J.(1999).Thecompound helicopter - why have we not succeeded before?, Aeronautical Journal, vol. 103, pp. 489-495.
Saaty, T. L., Vargas, L. G., and Dellmann, K.(2003).Theallocation of intangible resources: the analytic hierarchy process and linear programming, Socio-Economic Planning Sciences, vol. 37, pp. 169-184.
U.S. General Accounting Office, Best practices. (2001). Bettermatching of needs and resources will lead to better weapon system outcome, in GAO-01-288.
Zhang, X., Bode, J., and Ren, S.(1996).Neural networks in quality function deployment, Computers & Industrial Engineering, vol. 31, no.3-4, pp. 669-673.
