IEEE International Workshop on Software Evolvability (Software-Evolvability'05) Distinguishing between Learning, Growth and Evolution Budapest,Hungary September 26-September 26 ISBN: 0-7695-2460-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IWSE.2005.5
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 are 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.
Citation:
Nigel Phillips, Sue Black, "Distinguishing between Learning, Growth and Evolution," software-evolvability, pp.49-52, IEEE International Workshop on Software Evolvability (Software-Evolvability'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||