Measuring the Abstraction Gain of Code-Near Models

dc.contributor.author	Effiok, Victor
dc.contributor.author	Koni, Anastasia
dc.date.accessioned	2016-06-27T12:13:23Z
dc.date.available	2016-06-27T12:13:23Z
dc.date.issued	2016-06-27
dc.identifier.uri	http://hdl.handle.net/2077/44674
dc.description.abstract	Abstraction in computer science is defined as the simplification of a system. Nevertheless, abstraction is also relevant in software engineering when we deal with Model Driven Development (MDD). What interest software engineers is whether a model represents a simplification of the code, generated by the model. Thus, it is of significant interest and importance to investigate the existence of abstraction gain from generated code to the model.	sv
dc.language.iso	eng	sv
dc.title	Measuring the Abstraction Gain of Code-Near Models	sv
dc.type	text
dc.setspec.uppsok	Technology
dc.type.uppsok	M2
dc.contributor.department	Göteborgs universitet/Institutionen för data- och informationsteknik	swe
dc.contributor.department	University of Gothenburg/Department of Computer Science and Engineering	eng
dc.type.degree	Student essay