The work reported here was carried out in the Department of Computing, Imperial College, London, U.K.
Behavioural modelling of long-lived evolution processes—some issues and an example
Version of Record online: 30 OCT 2002
Copyright © 2002 John Wiley & Sons, Ltd.
Journal of Software Maintenance and Evolution: Research and Practice
Special Issue: Separation of Concerns for Software Evolution
Volume 14, Issue 5, pages 335–351, September/October 2002
How to Cite
Lehman, M. M., Kahen, G. and Ramil, J. F. (2002), Behavioural modelling of long-lived evolution processes—some issues and an example. J. Softw. Maint. Evol.: Res. Pract., 14: 335–351. doi: 10.1002/smr.259
- Issue online: 30 OCT 2002
- Version of Record online: 30 OCT 2002
- Manuscript Revised: 1 AUG 2002
- Manuscript Received: 31 JAN 2002
- UK EPSRC. Grant Numbers: GR/K86008, GR/M44101, GR/L07437, GR/L96561
- laws of software evolution;
- process improvement;
- resource estimation;
- system dynamics
For reasons now well understood, application software that is regularly used for real-world problem solving must be continually adapted and enhanced to maintain its fitness to an ever-changing real world, its applications and application domains. This type of activity is termed progressive. As evolution continues, the complexity (functional, structural) of the evolving system is likely to increase unless work, termed anti-regressive, is undertaken to control and even reduce it. However, with progressive and anti-regressive work naturally competing for the same pool of resources, management requires means to estimate the amount of work and resources to be applied to each of the two types. After providing a necessary background, the paper describes a systems dynamics model that can serve as the core of a tool to support decision making regarding the optimal personnel allocation over the system lifetime. The model is provided as an example of the use of formalisms in modelling the behaviour of the evolution process. Copyright © 2002 John Wiley & Sons, Ltd.