Automated analyses of model-driven artifacts: obtaining insights into industrial application of MDE
JGM Mengerink, A Serebrenik… - Proceedings of the 27th …, 2017 - dl.acm.org
Over the past years, there has been an increase in the application of model driven
engineering in industry. Similar to traditional software engineering, understanding how
technologies are actually used in practice is essential for developing good tooling, and
decision making processes. Unfortunately, obtaining and analyzing empirical data in a
model-driven context is still tedious and time consuming, introducing large lead-times. In this
paper we present a framework for the automated extraction, analysis, and visualization of …
engineering in industry. Similar to traditional software engineering, understanding how
technologies are actually used in practice is essential for developing good tooling, and
decision making processes. Unfortunately, obtaining and analyzing empirical data in a
model-driven context is still tedious and time consuming, introducing large lead-times. In this
paper we present a framework for the automated extraction, analysis, and visualization of …
[PDF][PDF] Automated analyses of model-driven artifacts
JG Mengerink, A Serebrenik… - … Mensura (2017, to …, 2017 - aserebre.win.tue.nl
Over the past years, there has been an increase in the application of model driven
engineering in industry. Similar to traditional software engineering, understanding how
technologies are actually used in practice is essential for developing good tooling, and
decision making processes. Unfortunately, obtaining and analyzing empirical data in a
model-driven context is still tedious and time consuming, introducing large lead-times. In this
paper we present a framework for the automated extraction, analysis, and visualization of …
engineering in industry. Similar to traditional software engineering, understanding how
technologies are actually used in practice is essential for developing good tooling, and
decision making processes. Unfortunately, obtaining and analyzing empirical data in a
model-driven context is still tedious and time consuming, introducing large lead-times. In this
paper we present a framework for the automated extraction, analysis, and visualization of …
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