Model-and-Code Consistency Checking (bibtex)
by Markus Riedl-Ehrenleitner
Abstract:
In model-driven engineering, design models raise the level of abstraction and allow for efficient designing without considering implementation details. Still, it is crucial that design models and source code are in sync. Unfortunately, both development artifacts do evolve not only frequently, but also concurrently which likely causes them to drift apart over time. Even though technologies such as model-to-code transformations are commonly employed to keep design models and source code synchronized, those technologies typically still require unguided, manual adaptations. Hence, they do not effectively prevent inconsistencies from being introduced. In this paper, we present a novel approach for checking consistency between design models and source code. The approach detects inconsistencies instantly and informs developers about a project's consistency status live during development. We developed an efficient and fully automated consistency checking framework and also provide a set of consistency rules for UML and Java projects. The framework was evaluated in an empirical study with 10 mostly industrial projects. The results showed that our approach is technically feasible and also highly scalable.
Reference:
Markus Riedl-Ehrenleitner: Model-and-Code Consistency Checking, Master's thesis, Johannes Kepler University (JKU), Linz, Austria, 2013.
Bibtex Entry:
@MastersThesis{Riedl-Ehrenleitner2013,
  author    = {Markus Riedl-Ehrenleitner},
  title     = {Model-and-Code Consistency Checking},
  school    = {Johannes Kepler University (JKU), Linz, Austria},
  year      = {2013},
  abstract  = {In model-driven engineering, design models raise the level of abstraction
	and allow for efficient designing without considering implementation
	details. Still, it is crucial that design models and source code
	are in sync. Unfortunately, both development artifacts do evolve
	not only frequently, but also concurrently which likely causes them
	to drift apart over time. Even though technologies such as model-to-code
	transformations are commonly employed to keep design models and source
	code synchronized, those technologies typically still require unguided,
	manual adaptations. Hence, they do not effectively prevent inconsistencies
	from being introduced. In this paper, we present a novel approach
	for checking consistency between design models and source code. The
	approach detects inconsistencies instantly and informs developers
	about a project's consistency status live during development. We
	developed an efficient and fully automated consistency checking framework
	and also provide a set of consistency rules for UML and Java projects.
	The framework was evaluated in an empirical study with 10 mostly
	industrial projects. The results showed that our approach is technically
	feasible and also highly scalable.},
  file      = {:MSc Theses\\2013 Riedl Markus\\Rield - Model-and-Code Consistency Checking-preprint.pdf:PDF},
  owner     = {AK117794},
  timestamp = {2015.09.22},
}
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