Functional Decomposition Based Effort Estimation Model for Software-Intensive Systems

Authors: Nermin Sökmen

Abstract:

An effort estimation model is needed for softwareintensive projects that consist of hardware, embedded software or some combination of the two, as well as high level software solutions. This paper first focuses on functional decomposition techniques to measure functional complexity of a computer system and investigates its impact on system development effort. Later, it examines effects of technical difficulty and design team capability factors in order to construct the best effort estimation model. With using traditional regression analysis technique, the study develops a system development effort estimation model which takes functional complexity, technical difficulty and design team capability factors as input parameters. Finally, the assumptions of the model are tested.

Keywords: Functional complexity, functional decomposition, development effort, technical difficulty, design team capability, regression analysis.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096159

References:

[1] M. W. Maier, D. Emery, and R. Hillard, "ANSI/IEEE and Systems Engineering," System Engineering, vol. 7, no. 3.pp. 257-270, 2004.
[2] L. H. Putman, " General empirical solution to the macro software sizing and estimating problem," IEEE Transactions on Software Engineering, vol. SE 4, no. 4, pp. 345-361, July 1978.
[3] A. J. Albrecht, "Measuring Application Development Productivity," in Proceedings of the IBM Applications Development Symposium, GUIDE/SHARE (Goiterey, Calic,‘Oct. 14-17), IBM, 1979,‘ pp. 83-92.
[4] A. J Albrecht and J. E Gaffiney, "Software functions, source lines of code and development effort prediction: A software science validation," IEEE Transactions on Software Engineering, vol. SE-9, no.6, pp. 639- 648, November 1983.
[5] C.F. Kemerer, "An Empirical Validation of Software Cost Estimation Models," Communication of the ACM, vol. 5, no. 5, pp. 416-429, May 1987.
[6] J. E. Matson, E. Barrett, and J. M. Mellichamp, "Software Development Cost Estimation Using Function Points," IEEE Transactions on Software Engineering, vol. 20, no. 4, pp. 275-287, April 1994.
[7] Y. Zheng, B. Wang, Y. Zheng, and L. Shi, "Estimation of software projects effort based on function point," ICCSE'09 4th International Conference on Computer Science & Education, Nanning, China, 2009, pp. 941-943.
[8] L. Fischman, K. McRitchie, and D. D. Galorath, "Inside SEER-SEM," CrossTalk-The Journal of Defense Software Engineering, pp. 26-28, April 2005.
[9] B.W. Boehm, "Software Engineering Economics," Englewood Cliffs, NJ: Prentice Hall, 1981.
[10] B. Boehm, C. Abts, A. W. Brown, S. Chulani, B.K. Clark, E. Horowitz, R. Madachy, D. J. Reifer, and B. Steece, "Software Cost Estimation with COCOMO II," Englewood Cliffs, NJ: Prentice-Hall, 2000.
[11] A. B. Nassif, D. Ho, and L. F. Capretz, "Towards an early software estimation using log-linear regression and a multilayer perceptron model," The Journal of Systems and Software, vol. 86, pp. 144– 160, 2013.
[12] A. Sharma, and D. S. Kushwaha, "Estimation of Software Development Effort from Requirements Based Complexity," in 2nd Int. Conf. on Computer, Communication, Control and Information Technology (C3IT- 2012), Procedia Technology, vol. 4, pp. 716 – 722, February 2012.
[13] P. W. Salchak and P. Chawla, "Supporting Hardware Trade Analysis and Cost Estimation Using Design Complexity," in Proceedings of the 1997 VHDL International User's Forum (VIUF'97), pp. 126, Washington, DC, USA, 1997.
[14] K. Littlejohn, M. Olis, R. Lentz, and M. Barnett, "Developing a design complexity measure, " in 15th AIAA/IEEE Digital Avionics Systems Conference, Atlanta, GA, USA, 27-31 Oct. 1996, pp. 31-36.
[15] H. A. Bashir and V.Thomson, "Estimating Design Complexity," Journal of Engineering Design, vol. 10, no. 3, pp. 247-257, 1999.
[16] H. A. Bashir and V.Thomson, "An Analogy Based Model for Estimating Design Effort," Design Studies, vol. 22, no. 2, pp. 157–167, March 2001.
[17] H. A. Bashir and V.Thomson, "Models for estimating design effort and time," Design Studies, vol. 22, no. 2, pp. 141-156, March 2001.
[18] H. A. Bashir and V.Thomson, "Estimating design effort for GE hydro projects," Computers & Industrial Engineering, vol. 46, no. 2, pp. 195– 204, 2004.
[19] A. Griffin, "Modeling and measuring product development cycle time across industries," J. Eng. Technol. Manage, vol. 14, no. 1, pp. 1-24. 1997.
[20] H. A. Bashir, "Modeling of development time for hydroelectric generators using factor and multiple regression analyses," International Journal of Project Management, vol. 26, pp. 457–464, 2008.
[21] M. Hobday, "Product complexity, innovation and industrial organization," Research Policy, vol. 26, pp. 689-710, 1998.
[22] B. El-Haik and K. Yang, "Measures of complexity in design," in Proceedings of the 1999 ASME Design Engineering Technical Conference, September 12-15, Las Vegas, Nevada, 1999.
[23] M. Keating, "Measuring Design Quality by Measuring Design Complexity, " in Proceedings of IEEE 2000 First International Symposium on Quality Electronic Design, San Jose, CA, USA, 20-22 March 2000, pp. 103-108.
[24] M. H. Meyer and J. M. Utterback, "Product Development Cycle Time and Commercial Success," IEEE Transactions on Engineering Management, vol. 42, no. 4, pp. 297-304, 1995.
[25] M. V. Tatikonda and S. R. Rosenthal, " Technology Novelty, Project Complexity, and Product Development Project Execution Success: A Deeper Look at Task Uncertainty in Product Innovation," IEEE Transaction on Engineering Management, vol. 47, no. 1, pp. 74-87, 2000.
[26] M. Swink, " Completing projects on-time: how project acceleration affects new product development," J. Engineering and Technology Management, vol. 20, no. 4, pp. 319–344, 2003.
[27] L. Wallace and M. Keil, "Software Project Risks and Their Effect on Outcomes," Communications of the ACM, vol. 47, no. 4, pp. 68-73, April 2004.
[28] A. Griffin, " Metrics for Measuring Product Development Cycle Time," Journal of Product Innovation Management, vol. 10, no. 2, pp. 112-125, March 1993.
[29] R. E. Purser, W. A. Pasmore, and R. V. Tenkasi, "The influence of deliberations on learning in new product development teams," Journal of Engineering and Technology Management, vol. 9, pp. 1-28, 1992.
[30] T. Moynihan. "How experienced project managers assess risk," IEEE Software, vol. 14, no. 3, pp. 35-41, May-June 1997.
[31] M. Keil, P. E. Cule, K. Lyytinen, and R. C. Schmidt, "A Framework for Identifying Software Project Risks," Communications of the ACM, vol. 41, no. 11, pp. 76-83 November 1998.
[32] P. Cule, R. Schmidt, K. Lyytinen, K. Mark, " Strategies for Heading Off is Project Failure," Information Systems Management, vol. 17, no. 2, pp. 1-9, 2000.
[33] R. Schmidt, K. Lyytinen, M. Keil, and P. Cule, "Identifying software project risks: an international Delphi study," Journal of Management Information Systems, vol. 17, no. 4, pp. 5–36, 2001.
[34] B. A. Kitchenham, L. M. Pickard, S. G. MacDonell, and M. J. Shepperd,"What accuracy statistics really measure," in IEE Proceedings of Software, vol. 148, no. 3, pp. 81-85, Jun 2001.
[35] M. O. Elish, "Improved estimation of software project effort using multiple additive regression trees," Expert Systems with Applications, vol. 36, no. 7, pp. 10774–10778 , September 2009.