DocumentCode
2588228
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
fYear
2005
fDate
26 Sept. 2005
Firstpage
49
Lastpage
52
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Evolvability, 2005. IEEE International Workshop on
Print_ISBN
0-7695-2460-5
Type
conf
DOI
10.1109/IWSE.2005.5
Filename
1544762
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