Software Evolution as SaaS: Evolution of Intelligent Design in Cloud | Zendy

Atif Farid Mohammad | Zendy; Joumana Dargham | Zendy; Hamid Mcheick | Zendy; Attia T. Noor | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Software Evolution as SaaS: Evolution of Intelligent Design in Cloud

Author(s) -

Atif Farid Mohammad,

Joumana Dargham,

Hamid Mcheick,

Attia T. Noor

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.06.065

Subject(s) - software evolution , computer science , evolvability , software engineering , software development , software , software as a service , cloud computing , software system , inheritance (genetic algorithm) , software construction , data science , programming language , biochemistry , chemistry , evolutionary biology , gene , biology , operating system

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research