cfaed Publications

@InProceedings{schuetze_cop23,
author = {Sch\"{u}tze, Lars and Castrillon, Jeronimo},
booktitle = {Proceedings of the 15th ACM International Workshop on Context-Oriented Programming and Advanced Modularity (COP'23)},
title = {Towards Virtual Machine Support for Contextual Role-Oriented Programming Languages},
doi = {10.1145/3605154.3605851},
isbn = {9798400702440},
location = {Seattle, USA},
pages = {1–8},
publisher = {Association for Computing Machinery},
series = {COP '23},
url = {https://doi.org/10.1145/3605154.3605851},
abstract = {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’ behavior at runtime, thus adapting the software to a given context. Most approaches focus on optimizing language implementations neglecting the fact that the generated code is a verbose description of contextual roles in an object-oriented paradigm, which incurs an overhead. This paper takes a novel approach to reduce the semantic gap. We propose ObjectTeams/Truffle, to the best of our knowledge, the first virtual machine that optimizes the dispatch of contextual roles. We evaluate the implementation with a benchmark for role-oriented programming languages achieving a speedup of up to 2.49\texttimes{} over the reference implementation ObjectTeams/Java and 1.2\texttimes{} over an optimized version ObjectTeams/Java using Dispatch Plans.},
address = {New York, NY, USA},
month = jul,
numpages = {8},
year = {2023},
}