Title :
Distinguishing between learning, growth and evolution
Author :
Phillips, Nigel ; Black, Sue
Author_Institution :
Fac. of Bus., Comput. & Inf. Manage., London South Bank Univ., UK
Abstract :
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.
Keywords :
software maintenance; software prototyping; software categorization; software engineering; software evolution; software maintenance; software system classification; Biological information theory; Education; Evolution (biology); Humans; Information management; Programming; Software engineering; Software maintenance; Software systems; Solids;
Conference_Titel :
Software Evolvability, 2005. IEEE International Workshop on
Print_ISBN :
0-7695-2460-5
DOI :
10.1109/IWSE.2005.5