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EESSMod@MoDELS 2012: Innsbruck, Austria
- Proceedings of the Second Edition of the International Workshop on Experiences and Empirical Studies in Software Modelling, EESSMod@MoDELS 2012, Innsbruck, Austria, October 1-5, 2012. ACM 2012, ISBN 978-1-4503-1811-2

- Michel Chaudron, Lars Pareto, Marcela Genero, Silvia Abrahão:

EESSMOD 2012 Workshop Summary.
The fitness for purpose of modeling. We know that modeling is great - but when, where and for what?
- Marco Torchiano

, Federico Tomassetti
, Filippo Ricca, Alessandro Tiso, Gianna Reggio:
Benefits from modelling and MDD adoption: expectations and achievements. 1:1-1:6 - Rut Torres Vargas, Ariadi Nugroho

, Michel Chaudron
, Joost Visser
:
The use of UML class diagrams and its effect on code change-proneness. 2:1-2:6 - Adrian Kuhn, Gail C. Murphy:

Lessons learned from evaluating MDE abstractions in an industry field study. 3:1-3:5
The cognitive aspects of modeling. Models support mental activities better than code - but which, how and to what degree?
- Giuseppe Scanniello

, Carmine Gravino
, Genoveffa Tortora:
Does the combined use of class and sequence diagrams improve the source code comprehension?: results from a controlled experiment. 4:1-4:6 - Hafeez Osman

, Arjan van Zadelhoff, Dave R. Stikkolorum, Michel R. V. Chaudron
:
UML class diagram simplification: what is in the developer's mind? 5:1-5:6 - Stefan Zugal, Jakob Pinggera, Hajo A. Reijers, Manfred Reichert, Barbara Weber

:
Making the case for measuring mental effort. 6:1-6:6
Modeling and process improvement. Modeling enables process improvement - but where do these improvements lead?
- R. J. Macasaet

, Manuel Noguera
, María Luisa Rodríguez, José Luis Garrido
, Sam Supakkul, Lawrence Chung:
Micro-business behavior patterns associated with components in a requirements approach. 7:1-7:6 - Gianna Reggio, Maurizio Leotta

, Filippo Ricca, Egidio Astesiano:
Business process modelling: five styles and a method to choose the most suitable one. 8:1-8:6 - Lamia Abo Zaid

, Olga De Troyer:
Modelling and managing variability with feature assembly: an experience report. 9:1-9:7

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