Modeling and Managing Context-Aware Systems' Variability

This theme issue provides an updated perspective on techniques to manage software system variability at runtime, to make software systems smarter and less dependent on human intervention.

[1]  Oscar Nierstrasz,et al.  Context-oriented Programming , 2008, J. Object Technol..

[2]  Rafael Capilla,et al.  Context Variability for Context-Aware Systems , 2014, Computer.

[3]  Kim Mens,et al.  Features on demand , 2014, VaMoS.

[4]  Kim Mens,et al.  A taxonomy of context-aware software variability approaches , 2016, MODULARITY.

[5]  Eli Rohn.  Predicting context aware computing performance , 2003, UBIQ.

[6]  Dave Evans,et al.  How the Next Evolution of the Internet Is Changing Everything , 2011 .

[7]  Kim Mens,et al.  Semantics for consistent activation in context-oriented systems , 2015, Inf. Softw. Technol..

[8]  Jan Bosch,et al.  Dynamic Variability in Software-Intensive Embedded System Families , 2012, Computer.

[9]  Thomas Kropf,et al.  Impacts of an Electric Powertrain on the Braking System , 2011 .

[10]  Kim Mens,et al.  Context-Oriented Programming with the Ambient Object System , 2008, J. Univers. Comput. Sci..

[11]  Kim Mens,et al.  Subjective-C - Bringing Context to Mobile Platform Programming , 2010, SLE.

[12]  Tim Trew,et al.  Using Feature Diagrams with Context Variability to Model Multiple Product Lines for Software Supply Chains , 2008, 2008 12th International Software Product Line Conference.

[13]  Jan Bosch,et al.  The changing industry structure of software development for consumer electronics and its consequences for software architectures , 2012, J. Syst. Softw..

[14]  Jan Bosch,et al.  Systems and Software Variability Management , 2013, Springer Berlin Heidelberg.