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A Domain-Specific Approach to Architecturing Error Handling in Pervasive Computing

Julien Mercadal 1 Quentin Enard 1 Charles Consel 1 Nicolas Loriant 1 
1 Phoenix - Programming Language Technology For Communication Services
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, EA4136 - Handicap et système nerveux :Action, communication, interaction: rétablissement de la fonction et de la participation [Bordeaux]
Abstract : The challenging nature of error handling constantly escalates as a growing number of environments consists of networked devices and software components. In these environments, errors cover a uniquely large spectrum of situations related to each layer ranging from hardware to distributed platforms, to software components. Handling errors becomes a daunting task for programmers, whose outcome is unpredictable. Scaling up error handling requires to raise the level of abstraction beyond the code level and the try-catch construct, approaching error handling at the software architecture level. We propose a novel approach that relies on an Architecture Description Language (ADL), which is extended with error-handling declarations. To further raise the level of abstraction, our approach revolves around a domain-specific architectural pattern commonly used in pervasive computing. Error handling is decomposed into components dedicated to platform-wide, error-recovery strategies. At the application level, descriptions of functional components include declarations dedicated to error handling. We have implemented a compiler for an ADL extended with error-handling declarations. It produces customized programming frameworks that drive and support the programming of error handling. Our approach has been validated with a variety of applications for building automation.
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Submitted on : Thursday, May 24, 2012 - 10:39:17 AM
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  • HAL Id : inria-00486930, version 1



Julien Mercadal, Quentin Enard, Charles Consel, Nicolas Loriant. A Domain-Specific Approach to Architecturing Error Handling in Pervasive Computing. OOPSLA: Conference on Object Oriented Programming Systems Languages and Applications, Oct 2010, Reno, United States. ⟨inria-00486930⟩



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