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They have been successfully used in application areas such as compiler compiler toolkits, constraint solving problems, generation of CASE tools, pattern recognition techniques, program analysis, software engineering, software evolution, software visualization and animation, and visual languages.
In previous work [38] we identified the existence of three major streams in software ecosystems in research: (1) software platforms and architecture, which includes modelling and architecture such as software evolution, software architecture, and software development as product lines [8] (2) business and managerial perspectives [34, 35], and (3) FOSS ecosystems [45, 68].
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Thus, identifying and analyzing the change-prone classes of the software during software evolution is gaining wide importance in the field of software engineering.
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.
Model Driven Engineering is a promizing approach that could lead to the emergence of a new paradigm for software evolution, namely Model Driven Software Evolution.
Software evolution is an important topic in software engineering.
Models and metamodels provide a high-level formalism with which to represent artefacts commonly manipulated in the different stages of a software evolution process (e.g., a software migration) while model transformation allows the automation of the evolution tasks to be performed.
The contribution of this paper is that it introduces a novel software evolution ontology that vastly simplifies typical software evolution analysis tasks.
Software evolution research has focused mostly on analyzing the evolution of single software systems.
Software evolution is made up of changes carried out during software maintenance.
Nowadays, software evolution is a very hot topic.
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