Metrics for design projects: A review

Design Studies

Volumn 20, Issue 3, 1999, Pages 263-277

  Bashir, Hamdi A ^a   Thomson, Vince ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Design management; Engineering design; Planning

Indexed keywords

EID: 0000435058     PISSN: 0142694X     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0142-694x(98)00024-6     Document Type: Article

References (58)

1. Maidique M A, Zirger B J A study of success and failure in product innovation: the case of the U.S. electronics industry. IEEE Transactions on Engineering Management EM. 31:1984;192-193.
2. Stalk, G and Hout, T Competing against time Collier Macmillan, London (1990).
3. Murmann P A Expected development time reductions in the German mechanical engineering industry. Journal of Product Innovation Management. 11:1994;236-252.
4. Norris K P The accuracy of project cost and duration estimates in industrial R and D. R and D Management. 2(1):1971;25-36.
5. Bronikowski, R J Managing the engineering design function Van Nostrand Company, New York (1986).
6. Cordero R Managing for speed to avoid product obsolescence: a survey of techniques. Journal of Product Innovation Management. 8:1991;283-294.
7. Leech, D J Management of engineering design John Wiley, Belgium (1972).
8. Evans S Implementing framework for integrated design teams. Journal of Engineering Design. 1(4):1990;355-363.
9. Clark K Bet al. Product development in the world auto industry. Brookings Papers on Economic Activity. 3:1987;729-771.
10. DeMarco, T Controlling software projects Yourdon Press, New York (1982).
11. Brooks, F P The mythical man-month: essays on software engineering Addison-Wesley, Don Mills, ON, Canada (1975).
12. Thamhain H J, Wilemon D L Criteria for controlling projects according to plan. Project Management Journal. 17(2):1986;75-81.
13. Phan Det al. The search for perfect project management. Computerworld. September:1988;95-100.
14. Putnam, L H 'Progress in modeling the software life cycle in a phenomenological way to obtain engineering quality estimates and dynamic control of the process' Second Software Life Cycle Management Workshop, Atlanta, Georgia, August 1978, pp 105-128.
15. Rummer, G and Brache, A Improving performance: how to manage the white space on the organization chart Jossey-Bass, San Francisco (1990).
16. Moller, K H and Paulish, D J Software metrics: a practitioner's guide to improved product development Chapman and Hall Computing, London (1993).
17. Fenton, N E Software metrics: a rigorous approach Chapman and Hall, London (1991).
18. Boehm, B W Software engineering economy Prentice-Hall, Englewood Cliffs (1981).
19. Jones, C Programming productivity McGraw-Hill, New York (1986).
20. Zuse, H Software complexity: measures and methods Walter de Gruyter, Berlin (1991).
21. Cote Vet al. Software metrics: an overview of recent results. Journal of Systems and Software. 8:1988;121-131.
22. Johnson G K, Turner I M Use of transfer functions for company planning. Operations Research. 4(6):1956;705-710.
23. Daubin S C The allocation of development funds: an analytic approach. Naval Research Logistics Quarterly. 5(2):1958;263-276.
24. Norden P V On the anatomy of development projects. IRE Transactions on Engineering Management EM-. 7(1):1960;34-42.
25. Wadel L B, Bush C M An approach to probabilistic forecasting of engineering manpower requirements. IRE Transactions on Engineering Management EM-. 8(3):1961;158-159.
26. Packard K S Probabilistic forecasting of manpower requirements. IRE Transactions on Engineering Management EM-. 9(3):1962;136-138.
27. Norden, P V Manpower utilization patterns in research and development projects. PhD dissertation, Columbia University, New York (1964).
28. Norden, P V Useful tools for project management. In Starr, M K (ed) Management of production Penguin Books, Baltimore pp 71-101 (1970).
29. Cooper R G A process model for industrial new product development. IEEE Transactions on Engineering Management EM-. 30(1):1983;2-11.
30. Cooper R G The new product process: a decision guide for management. IEEE Engineering Management Review. 17(2):1989;19-33.
31. Gardiner P, Rothwell R Tough customer: good designs. Design Studies. 6(1):1985;7-17.
32. Dwyer L, Mellor R New product activities and project outcomes. R and D Management. 21(1):1991;31-42.
33. Thomson, V Process management applied to manufacturing The 10th ISPE/IFAC International Conference on CAD/CAM, Robotics, and Factories of The Future, Ottawa, Canada, August 1994, pp 1-6.
34. Clark K B Project scope and project performance: the effect of parts strategy and supplier involvement on product development. Management Science. 35(10):1989;1247-1263.
35. Clark K B, Fujimoto T Lead time in automobile product development explaining the Japanese advantage. Journal of Engineering and Technology Management. 6:1989;25-58.
36. Zurn J T Problem discovery function: a useful tool for assessing new product introduction. IEEE Transactions on Engineering Management. 38(2):1991;110-119.
37. Griffin A Metrics for measuring product development cycle time. Journal of Product Innovation Management. 10:1993;112-125.
38. Griffin A The effect of project and process characteristics on product development cycle time. Journal of Marketing Research. 34(1):1997;24-35.
39. Suh, N P The principles of design Oxford University Press, New York (1990).
40. Ahn, J S and Crawford, R H 'Complexity analysis of computational engineering design process' Design theory and methodology Vol 68, ASME, New York (1994).
41. Bahill, A T and Chapman, W L 'Case studies in system design' International Symposium and Workshop on Systems Engineering of Computer Based Systems, Piscataway, NJ pp 43-50 (1995).
42. Kannapan S M Function metrics for engineered devices. Applied Artificial Intelligence. 9(1):1995;45-64.
43. Smailagic, A et al. 'Benchmarking an interdisciplinary concurrent design methodology for electronic/mechanical systems' 32nd Design Automation Conference pp 514-519 (1995).
44. Klapsis, M and Thomson, V 'The engineering specification approval process' Integration in Manufacturing (IiM) Conference, Galway, Ireland (1996).
45. Thomson, V et al. Using continuous approval for improving acquisitions. DND Report W 8464-5-CA49/01, Ottawa, Canada (1996).
46. Jacome M F, Lapinskii V NREC: risk assessment and planning of complex designs. IEEE Design and Test of Computers. 14(1):1997;42-49.
47. Wallace K M, Hales C Detailed analysis of an engineering design project. Proceedings of the 1987 International Conference on Engineering Design. 1:1987;94-101.
48. Walston C E, Felix C P A Method of programming measurement and estimation. IBM System Journal. 16(1):1977;54-73.
49. Jeffery, D R 'The relationship between team size, experience, and attitudes and software development productivity' COMPSAC, IEEE Computer Society Press pp 2-8 (1987).
50. Pahl, G and Beitz, W Engineering design: a systematic approach The Design Council London (1988).
51. Hubka, E Theory of technical systems Springer-Verlag, Berlin (1988).
52. Kota, S and Ward, A C 'Functions, structures, and constraints in conceptual design' Design theory and methodology ASME, New York (1990).
53. Kusiak A, Szczerbicki E A formal approach to specifications in conceptual design. Journal of Mechanical Design. 114:1992;659-666.
54. Blessing, L T M A process-based approach to computer-supported engineering design. PhD dissertation, University of Twente, Enschede, The Netherlands (1994).
55. Hales, C Analysis of the engineering design process in an industrial context. PhD dissertation, University of Cambridge, Gants Hill Publications, Hampshire (1987).
56. Putnam L H General empirical solution to the macro software sizing and estimating problem. IEEE Transactions on Engineering Management SE-. 4:1978;345-361.
57. Dreger, J B Function point analysis Prentice-Hall, Englewood Cliffs (1989).
58. Albrecht, A J 'Measuring application development productivity' Proceedings of Joint SHARE, GUIDE, and IBM Application Development Symposium, October (1979) pp 83-92.