Our extensive industrial collaboration enables us to do research with immediate application to software development practices in realistic settings.
NECSIS: Managing Variability and Configurability in a MDE Development Process
The Network for the Engineering of Complex Software-Intensive Systems for Automotive Systems (NECSIS) is a research network to tackle the obstacles and develop new MDE capabilities that lead to the development of the next generation of MDE methods and tools. This project, Feature Oriented Modeling and Analysis, groups activities with involvement of the GSD Lab members within the NECSIS Theme 3: Uncertainty, Adaptability, and Variability.
Team Members
News
Related Projects
Publications
Traceability Mappings as a Fundamental Aspect of Model-to-Model Transformations,
, no. GSDLAB--TR 2016-05-01, Hamilton/Waterloo, McMaster University/University of Waterloo, May 2016.
[pdf]
"Coevolution of Variability Models and Related Software Artifacts: A Fresh Look at Evolution Patterns in the Linux Kernel",
Empirical Software Engineering, Springer, 05/2015.
"Model Based Automotive System Design: A Power Window Controller Case Study",
ECE, vol. MASC, Waterloo, University of Waterloo, 03/2015.
"Feature Scattering in the Large: A Longitudinal Study of Linux Kernel Device Drivers",
14th International Conference on Modularity: ACM, 2015.
[pdf][pptx]
Modeling product lines with Kripke structures and modal logic,
, no. GSDLab TR 2014-08-01, Waterloo, University of Waterloo (ECE), 08/2014.
[pdf]
The Semantics of Feature Models via Formal Languages (Extended Version),
, no. GSDLab TR 2014-08-02, Waterloo/Hamilton, University of Waterloo (ECE)/McMaster University(CAS), 08/2014.
[pdf]
"A Dataset of Feature Additions and Feature Removals from the Linux Kernel",
11th Working Conference on Mining Software Repositories, India, IEEE/ACM, 2014.
[pdf]
"Does Feature Scattering Follow Power-Law Distributions? An Investigation of Five Pre-Processor-Based Systems",
6th International Workshop of Feature-Oriented Software Evolution, Sweden, ACM, 2014.
[pdf]
"Coevolution of Variability Models and Related Artifacts: A Case Study from the Linux Kernel",
17th International Software Product Line Conference, Tokyo, ACM, 2013.
[pdf][pdf]
"Variability-Aware Performance Prediction: A Statistical Learning Approach",
28th IEEE/ACM International Conference on Automated Software Engineering (ASE), Silicon Valley, California, USA, IEEE, 11/2013.
[pdf][pdf]
"Feature-Oriented Software Evolution",
The Seventh International Workshop on Variability Modelling of Software-intensive Systems, Italy, ACM , 01/2013.
[pdf][pdf]
"Intermodeling, queries, and Kleisli categories",
15th International Conference on Fundamental Approaches to Software Engineering (FASE'12), Tallinn, Estonia, LNCS, volume 7212, pp. 163-177, 01/2012.
"A Study of Non-Boolean Constraints in Variability Models of an Embedded Operating System",
3rd International Workshop on Feature Oriented Software Development, Munich, Germany, ACM, 08/2011.
[pdf][pdf]
"Feature and Meta-Models in Clafer: Mixed, Specialized, and Coupled",
3rd International Conference on Software Language Engineering, Eindhoven, The Netherlands, 10/2010.
[pdf][pdf]
