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SLE 2019
Sun 20 - Fri 25 October 2019 Athens, Greece
co-located with SPLASH 2019
Tue 22 Oct 2019 14:00 - 14:30 at Templars - Session 7: DSLs and Composition Chair(s): Eugene Syriani

Adaptive software becomes more and more important as computing is increasingly context-dependent. Runtime adaptability can be achieved by dynamically selecting and applying context-specific code. Role-oriented programming has been proposed as a paradigm to enable runtime adaptive software by design. Roles change the objects’ behaviour at runtime and thus allow adapting the software to a given context. However, this increased variability and expressiveness has a direct impact on performance and memory consumption. We found a high overhead in the steady-state performance of executing compositions of adaptations. This paper presents a new approach to use run-time information to construct a dispatch plan that can be executed efficiently by the JVM. The concept of late binding is extended to dynamic function compositions. We evaluated the implementation with a benchmark for role-oriented programming languages leveraging context-dependent role semantics achieving a mean speedup of 2.79x over the regular implementation.

Tue 22 Oct
Times are displayed in time zone: Beirut change

14:00 - 15:30: Session 7: DSLs and CompositionSLE 2019 at Templars
Chair(s): Eugene SyrianiUniversité de Montréal
14:00 - 14:30
Efficient Late Binding of Dynamic Function Compositions
SLE 2019
Lars SchützeTechnische Universität Dresden, Jeronimo CastrillonTU Dresden, Germany
14:30 - 15:00
Empirical Study on the Usage of Graph Query Languages in Open Source Java Projects
SLE 2019
Philipp SeiferUniversity of Koblenz-Landau, Germany, Johannes HärtelUniversity of Koblenz-Landau, Germany, Martin LeinbergerUniversity of Koblenz-Landau, Germany, Ralf LämmelFacebook London, Steffen StaabUniversity of Koblenz-Landau and University of Southampton, Germany
15:00 - 15:30
From DSL specification to interactive computer programming environment
SLE 2019
Pierre JeanjeanInria, Univ Rennes, CNRS, IRISA, Benoit CombemaleUniversity of Toulouse, Olivier BaraisUniv. Rennes, Inria, CNRS, IRISA