Optimal enhancement and lifetime of software systems: A control theoretic analysis

Production and Operations Management

Volumn 20, Issue 6, 2011, Pages 889-904

  Ji, Yonghua ^a   Kumar, Subodha ^b   Mookerjee, Vijay S ^c   Sethi, Suresh P ^c   Yeh, Denny ^d  

^a UNIVERSITY OF ALBERTA   (Canada)

^b TEXAS A AND M UNIVERSITY   (United States)

^c UNIVERSITY OF TEXAS AT DALLAS   (United States)

^d FU JEN CATHOLIC UNIVERSITY   (Taiwan)

Author keywords

features; lifetime; optimal control theory; replacement; software enhancement

Indexed keywords

EID: 81355154423     PISSN: 10591478     EISSN: 19375956     Source Type: Journal    
DOI: 10.1111/j.1937-5956.2010.01215.x     Document Type: Article

References (65)

1. Arrow, K. J., 1962. The economic implications of learning by doing. Rev. Econ. Stud. 29 (3): 155-173.
2. Austin, R. D., M. J. Cotteleer, C. X. Escalle,. 2003. Enterprise Resource Planning. Harvard Business School Note 9-699-020.
3. Bala, R., S. Carr,. 2009. Pricing software upgrades: The role of product improvement and user costs. Prod. Oper. Manag. 18 (5): 560-580.
4. Banker, R. D., S. M. Datar, C. F. Kemerer,. 1991. A model to evaluate variables impacting the productivity of software maintenance projects. Manage. Sci. 37 (1): 1-18.
5. Banker, R. D., S. M. Datar, C. F. Kemerer, D. Zweig,. 1993. Software complexity and maintenance costs. Commun. ACM 36 (11): 81-94.
6. Banker, R. D., S. A. Slaughter,. 1997. A field study of scale economies in software maintenance. Manage. Sci. 43 (12): 1709-1725. (Pubitemid 127575327)
7. Banker, R. D., S. A. Slaughter,. 2000. The moderating effects of structure on volatility and complexity in software enhancement. Inf. Syst. Res. 11 (3): 219-240. (Pubitemid 33214327)
8. Bennett, K., V. Rajlich,. 2000. Software maintenance and evolution: A roadmap., Finkelstein, A., ed. Proceedings of Conference on the Future of Software Engineering. ACM, Limerick, Ireland, 73-87.
9. Bensoussan, A., S. P. Sethi,. 2007. The machine maintenance and sale age model of Kamien and Schwartz revisited. Manage. Sci. 53 (12): 1964-1976. (Pubitemid 351159566)
10. Boehm, B. W., 1981. Software Engineering Economics. Prentice Hall, Upper Saddle River, NJ.
11. Boothroyd, G., P. Dewhurst, W. A. Knight,. 2002. Product Design for Manufacture and Assembly. Marcel Dekker Inc, New York.
12. Burch, E., H. Kung,. 1997. Modeling software maintenance requests: A case study., Cimitile, A. V., Rajlich, eds. Proceedings of 13th International Conference on Software Maintenance. IEEE, Bari, Italy, 40-47.
13. Carrillo, J. E., C. Gaimon,. 2000. Improving manufacturing performance through process change and knowledge creation. Manage. Sci. 46 (2): 265-288. (Pubitemid 30594356)
14. Chan, T., S. L. Chung, T. H. Ho,. 1996. An economic model to estimate software rewriting and replacement times. IEEE Trans. Softw. Eng. 22 (8): 580-598. (Pubitemid 126771684)
15. Chiang, I. R., V. S. Mookerjee,. 2004. A fault threshold policy to manage software development projects. Inf. Syst. Res. 15 (1): 3-19.
16. Couger, J. D., M. A. Colter,. 1985. Maintenance Programming: Improved Productivity Through Motivation. Prentice-Hall, Englewood Cliffs, NJ.
17. Cusumano, M. A., R. W. Selby,. 1997. How Microsoft builds software. Commun. ACM 40 (6): 53-61. (Pubitemid 127440151)
18. Dawande, M., M. Johar, S. Kumar, V. S. Mookerjee,. 2008a. A comparison of pair versus solo programming under different objectives: An analytical approach. Inf. Syst. Res. 19 (1): 71-92.
19. Dawande, M., S. Kumar, V. S. Mookerjee, C. Sriskandarajah,. 2008b. Maximum commonality problems: Applications and analysis. Manage. Sci. 54 (1): 194-207.
20. Dohi, T., Y. Nishio, S. Osaki,. 1999. Optimal software release scheduling based on artificial neural networks. Ann. Softw. Eng. 8: 167-185.
21. Eastwood, A., 1993. Firm fires shots at legacy systems. Comput. Can. 19 (2): 17.
22. Feng, Q., V. S. Mookerjee, S. P. Sethi,. 2006. Optimal policies for the sizing and timing of software maintenance projects. Eur. J. Oper. Res. 173 (3): 1047-1066. (Pubitemid 43866314)
23. Gaimon, C., 1997. Planning information technology-knowledge worker systems. Manage. Sci. 43 (9): 1308-1328. (Pubitemid 127600378)
24. Gaimon, C., K. Napoleon, G. Ozkan,. 2009. Investments in Workforce Knowledge and Technological Capabilities. Working paper, Georgia Institute of Technology, Atlanta, Georgia.
25. Gaimon, C., G. L. Thompson,. 1984. Optimal preventive and repair maintenance of a machine subject to failure. Optim. Control Appl. Methods 5 (1): 57-67. (Pubitemid 14548252)
26. Gibson, V. R., J. A. Senn,. 1989. System structure and software maintenance performance. Commun. ACM 32: 347-358.
27. Ha, A. Y., E. L. Porteus,. 1995. Optimal timing of reviews in concurrent design for manufacturability. Manage. Sci. 41 (9): 1431-1447.
28. Harter, D. E., S. A. Slaughter,. 2003. Quality improvement and infrastructure activity costs in software development: A longitudinal analysis. Manage. Sci. 49 (6): 784-800.
29. Heineman, G. T., W. T. Councill,. 2001. Component Based Software Engineering: Putting the Pieces Together. Addison-Wesley, Boston, MA.
30. Heller, G., J. Valett, M. Wild,. 1993. Data Collection Procedures for the Software Engineering Laboratory (SEL) Database. Software Engineering Laboratory, NASA/Goddard Space Flight Center, Greenbelt, MD.
31. Hou, R., S. Kuo, Y. Chang,. 1997. Optimal release times for software systems with scheduled delivery time based on the HGDM. IEEE Trans. Comput. 46 (2): 216-221. (Pubitemid 127760945)
32. Ji, Y., V. S. Mookerjee, S. P. Sethi,. 2005. Optimal software development: A control theoretic approach. Inf. Syst. Res. 16 (3): 292-306.
33. Jiang, Z., S. Sarkar,. 2003. Optimal software release time with patching considered. Proceedings of 13th Annual Workshop on Information Technologies and Systems, Seattle, December 13-14, pp. 61-66.
34. Kafura, D., G. R. Reddy,. 1987. The use of software complexity metrics in software maintenance. IEEE Trans. Softw. Eng. SE-13 (3): 335-343. (Pubitemid 17566074)
35. Kamien, M. I., N. L. Schwartz,. 1971. Optimal maintenance and sale age for a machine subject to failure. Manage. Sci. 17 (8): B-495-B-504.
36. Koch, H. S., P. Kubat,. 1983. Optimal release time of computer software. IEEE Trans. Softw. Eng. SE-9: 323-327. (Pubitemid 13601844)
37. Korn, G. A., T. M. Korn,. 2000. Mathematical Handbook for Scientists and Engineers. Dover Publications Inc, Mineola, NY.
38. Koushik, M. V., V. S. Mookerjee,. 1995. Modeling coordination in software construction: An analytical approach. Inf. Syst. Res. 6 (3): 220-254.
39. Kulkarni, V. G., S. Kumar, V. S. Mookerjee, S. P. Sethi,. 2009. Optimal allocation of effort to software maintenance: A queuing theory approach. Prod. Oper. Manag. 18 (5): 506-515.
40. Lanning, D. L., T. M. Khoshgoftaar,. 1995. The impact of software enhancement on software reliability. IEEE Trans. Reliab. 44 (4): 677-682.
41. Lehman, M. M., 1980. Programs, life cycles, and laws of software evolution. Proc. IEEE 68 (9): 1060-1076.
42. Lehman, M. M., J. F. Ramil,. 2001. Rules and tools for software evolution planning and management. Ann. Softw. Eng. 11 (1): 15-44. (Pubitemid 33634468)
43. Lehman, M. M., J. F. Ramil,. 2002. Software evolution and software evolution processes. Ann. Softw. Eng. 14 (1): 275-309. (Pubitemid 37114381)
44. Lientz, B. P., E. B. Swanson, G. E. Tompkins,. 1978. Characteristics of application software maintenance. Commun. ACM 21 (6): 466-471.
45. Little, T., 2004. Value creation and capture: A model of the software development process. IEEE Softw. 21 (3): 48-53.
46. Liu, D., M. Dawande, V. S. Mookerjee,. 2007. Value-driven creation of functionality in software projects: Optimal sequencing and reuse. Prod. Oper. Manag. 16 (3): 381-399.
47. McConnell, S., 1997. Annualized software delivery. IEEE Softw. 14 (1): 103-104.
48. Mookerjee, V. S., I. R. Chiang,. 2002. A dynamic coordination policy for software system construction. IEEE Trans. Softw. Eng. 28 (7): 684-694.
49. Okumoto, K., A. L. Goel,. 1980. Optimum release time for software systems based on reliability and cost criteria. J. Syst. Softw. 1: 315-318. (Pubitemid 11476647)
50. Rahmandad, H., 2005. Dynamics of platform-based product development., Sterman, J. D., N. P. Repenning, R. S. Langer, J. I. Rowe, J. M. Yanni, eds. Proceedings of 23rd International Conference on System Dynamics Society. The System Dynamics Society, Boston, MA.
51. Rajlich, V. T., K. H. Bennett,. 2000. A staged model for the software life cycle. IEEE Comput. 33 (7): 66-71.
52. Robles, G., J. J. Amor, J. M. Gonzalez-Barahona, I. Herraiz,. 2005. Evolution and growth in large libre software projects. Proceedings of Eighth International Workshop on Principles of Software Evolution, Lisbon, Portugal, pp. 165-174. (Pubitemid 46151635)
53. Schilling, M. A., P. Vidal, R. E. Ployhart, A. Marangoni,. 2003. Learning by doing something else: Variation, relatedness, and the learning curve. Manage. Sci. 49 (1): 39-56.
54. Sethi, S. P., G. Thompson,. 2000. Optimal Control Theory: Applications to Management Science and Economics. Kluwer Academic Publishers, Boston, MA.
55. SimplifyThis. 2008. Update: Menu Replaced by Buttons. Available at (accessed date October 27, 2010).
56. Sneed, H. M., 1995. Planning the reengineering of legacy systems. IEEE Softw. 12 (1): 24-34.
57. Sutherland, J., 1995. Business objects in corporate information systems. ACM Comput. Surv. 27 (2): 274-276.
58. Swanson, E. B., 1976. The dimension of maintenance., Yeh, R. T., C. V. Ramamoorthy, eds. Proceedings of 2nd International Conference on Software Engineering. IEEE, San Francisco, CA, 492-497.
59. Swanson, E. B., C. M. Beath,. 1989. Reconstructing the systems development organization. MIS Q. 13 (3): 293-307.
60. Tan, Y., V. S. Mookerjee,. 2005. Comparing uniform and flexible policies for software maintenance and replacement. IEEE Trans. Softw. Eng. 31 (3): 238-255. (Pubitemid 40890005)
61. Thompson, G. L., 1968. Optimal maintenance policy and sale date of a machine. Manage. Sci. 14 (9): 543-550.
62. Whittaker, B., 1999. What went wrong? Unsuccessful information technology projects. Inf. Manage. Comput. Secur. 7 (1): 23-30.
63. Wilcox, J., 2002a. Judge orders Microsoft to reveal code. CNET News, February 16. Available at (accessed date August 11, 2010).
64. Wilcox, J., 2002b. RealNetworks reveals code in single helix. CNET News, October 29. Available at (accessed date August 11, 2010).
65. Zhang, D., J. J. P. Tsai,. 2005. Machine Learning Applications in Software Engineering. World Scientific Publishing Company Incorporated, Singapore.