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ECOOP 2021
Sun 11 - Sat 17 July 2021 Online
co-located with ECOOP and ISSTA 2021
Mon 12 Jul 2021 16:00 - 16:30 at COP - COP

Self-adaptive software systems continuously adapt in response to internal and external changes in their execution environment, captured as contexts. The Context-oriented Programming (COP) paradigm posits a technique for the development of self-adaptive systems, capturing their main characteristics with specialized programming language constructs. In COP, adaptations are specified as independent modules that are composed in and out of the base system as contexts are activated and deactivated in response to sensed circumstances from the surrounding environment. However, the definition of adaptations, their contexts and associated specialized behavior, need to be specified at design time. In complex cyber physical systems this is intractable, if not impossible, due to new unpredicted operating conditions arising. In this paper, we propose Auto-COP, a new technique to enable generation of adaptations at run time. Auto-COP uses Reinforcement Learning (RL) options to build action sequences, based on the previous instances of the system execution (for example, actions enacted by human operators). Options are further explored in interaction with the environment, and the most suitable options for each context are used to generate adaptations exploiting the COP abstractions. To validate Auto-COP, we present two case studies exhibiting different system characteristics and application domains: a driving assistant and a robot delivery system. We present examples of Auto-COP code generated at run time, to illustrate the types of circumstances (contexts) requiring adaptation, and the corresponding generated adaptations for each context. We confirm that the generated adaptations exhibit correct system behavior measured by domain-specific performance metrics (e.g., conformance to specified speed limit), while reducing the number of required execution/actuation steps by a factor of two showing that the adaptations are regularly selected by the running system as adaptive behavior is more appropriate than the execution of primitive actions. Therefore, we demonstrate that Auto-COP is able to increase system adaptivity by enabling run-time generation of new adaptations for conditions detected at run time, while retaining the modularity offered by COP languages.

I have been working on adaptive systems for the last couple of years. Currently I am approaching adaptive systems from programming language perspective, working on development (programming language design), verification (partial, and incremental techniques), and application (smart environments, CPS, and IoT) of these systems.

Mon 12 Jul

Displayed time zone: Brussels, Copenhagen, Madrid, Paris change

13:00 - 17:00
COPCOP at COP
13:00
30m
Talk
[Invited Talk] Application of Context-Oriented Programming Paradigm to Automobile Driving Assistance System
COP
Kenji Hisazumi Kyushu University, Tsuneo Nakanishi
File Attached
13:30
30m
Talk
[Regular Paper] Resolving Synchronization Conflicts in Role-based Multimodel-Synchronization Environments
COP
Sebastian Ebert Technische Universität Dresden, Tim Kluge TU Dresden, Germany, Sebastian Götz Technische Universität Dresden
DOI File Attached
14:00
30m
Talk
[Invited Talk] A Method for Context-Oriented Management of ROS2-FPGA Module Reconfiguration
COP
Takeshi Ohkawa Tokai University
File Attached
14:30
15m
Talk
[Student Talk] A Language to Safely Exploit Multi-Version Modules at the Expression-level
COP
Yudai Tanabe Tokyo Institute of Technology
File Attached
14:45
15m
Talk
[Student Talk] Object-Oriented Programming with Versions
COP
File Attached
15:00
30m
Talk
[Invited Talk] Aspect-Oriented Modeling Mechanism for Ultra-Flexible Software Architecture
COP
Natsuko Noda Shibaura Institute of Technology
File Attached
15:30
30m
Talk
[Regular Paper] First-class Concepts: Reifying Architectural Knowledge Beyond the Dominant Decomposition
COP
Toni Mattis Hasso Plattner Institute, University of Potsdam, Tom Beckmann Hasso Plattner Institute, Patrick Rein Hasso Plattner Institute, Robert Hirschfeld Hasso Plattner Institute (HPI), University of Potsdam, Germany
DOI File Attached
16:00
30m
Talk
[Invited Talk] Generating Adaptations in Context-Oriented Programming using Reinforcement Learning Options
COP
Nicolás Cardozo Universidad de los Andes
Pre-print Media Attached
16:30
30m
Talk
[Regular Paper] Towards a Framework for Analyzing Context-Oriented Programming Languages
COP
Achiya Elyasaf Ben-Gurion University of the Negev, Arnon Sturm Ben-Gurion University of the Negev
DOI File Attached