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Title: Software Evolution as SaaS: Evolution of Intelligent Design in Cloud
Authors: Mohammad, Atif Farid
Dargham, Joumana 
Mcheick, Hamid
Noor, Attia T.
Affiliations: Department of Computer Science 
Keywords: Architecture
Cloud Services
Software as a Service
Subjects: Cloud computing
Service-oriented architecture (Computer science)
Issue Date: 2013
Part of: Procedia computer science journal
Volume: 19
Start page: 486
End page: 493
The aim of this paper is to establish an understanding of software evolution as Software as a Service in the Cloud as a concept in comparison to Biological evolution. Software evolution is a concept that requires a deep understanding for the course of our use in the future and is an important knowledge that can bring in a change of view towards software development altogether. There are several issues of software evolvability provided in this paper. Resolution to these issues through time with software dispersion can be understood as biological inheritance. Study of biological evolution to produce compound adaptive distinction could shed the light on how software evolution can be understood in general and in meticulous understanding of evolutionary computation. We study and accumulate the divergences and possible similarities between biological and software evolution toward the end of thispaper.
DOI: 10.1016/j.procs.2013.06.065
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Computer Science

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