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Dynamic Variability Management Supporting Operational Modes of a Power Plant Product Line

R. Capilla ; Jan Bosch (Institutionen för data- och informationsteknik (Chalmers))
10th International Workshop on Variability Modelling of Software-Intensive Systems, VaMoS 2016; Federal University of BahiaSalvador; Brazil; 27 January 2016 through 29 January 2016 p. 49-56. (2016)
[Konferensbidrag, refereegranskat]

Runtime variability is becoming an attractive technique to support those runtime scenarios for systems that demand some kind of autonomous reconfiguration or adaptive behavior. Nowadays, the challenge of many critical systems that need to handle different operational modes, often in an unattended mode, require specific solutions for which runtime variability mechanisms become relevant. This research describes the challenges of runtime variability to support multiple binding modes for handling the diversity of different operational modes and runtime reconfiguration needs. We validate our approach in a power plant control product line at Toshiba which advances previous work making the transition between the power plant operational modes more automatic and dynamic.

Nyckelord: Dynamic software product lines; Multiple binding times; Runtime reconfiguration; Runtime variability

Denna post skapades 2016-04-18. Senast ändrad 2016-09-14.
CPL Pubid: 234825


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Institutioner (Chalmers)

Institutionen för data- och informationsteknik (Chalmers)


Datavetenskap (datalogi)

Chalmers infrastruktur