Phillips, Nigel and Black, Sue E. (2005) Distinguishing between learning, growth and evolution. In: Proceedings of the IEEE International Workshop on Software Evolvability, 26 September 2005, Budapest, Hungary. IEEE, pp. 49-52. ISBN 0769524605Full text not available from this repository.
Systems are not expected to stay the same over many versions; if there were no change at all there would be no improvement or continued satisfaction with a system. Lehman's laws of software evolution look at how a system changes over time. The current set of laws is now accepted as fundamental to the teaching and understanding of software engineering. This paper describes the terms "learning", "growth" and "evolution" from a biological perspective with a view to using and applying these ideas to an initial framework for the categorisation of software. The purpose is to classify software systems and thus understand more about their behaviour and characteristics.
|Item Type:||Book Section|
|Subjects:||University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)|
|Depositing User:||Miss Nina Watts|
|Date Deposited:||12 Jan 2010 11:48|
|Last Modified:||12 Jan 2010 11:48|
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