@misc{oai:ir.soken.ac.jp:00001502,
 author = {HOAREAU, Christian and ワロ, クリスチャン and HOAREAU, Christian},
 month = {2016-02-17, 2016-02-17},
 note = {CONTEXT-AWARE COMPUTING refers to the idea that computing devices can sense<br />and react to the physical environment where they are deployed. For example,<br />a context-aware corporate office would intelligently respond to peoples locations and<br />activities by self-adjusting its lighting and temperature automatically, thus reducing<br />its energy footprint.<br />　　Context-aware systems model the real world by using increasingly complex and<br />refined contextual-data representations. As a result, their design and management raise<br />several challenges. An important and somewhat unexplored one is to guarantee that<br />context-aware systems correctly capture the intent of their designers once deployed. For<br />example, we might want to assure that the energy conservation of the aforementioned<br />corporate office is actually preserved.<br />　　We propose in this thesis a query processing and specification framework that alle-<br />viates designing and building context-aware systems. It guarantees the management of<br />contextual information, and can be used for specifying the underlying rules of context-<br />aware systems. Our approach encourages a high-level of abstraction for retrieving<br />contextual information in a robust manner, and supports building "provably-correct"<br />context-aware systems incrementally, by providing modularity and separation of con-<br />cerns.<br />　　The proposed approach aims at complementing existing context-aware service<br />wherein contextual information about the physical and computational environment<br />- information about people, objects, and services － is modeled in a symbolic fashion,<br />and is independent of any particular sensing technology. In current pervasive com-<br />puting plateform, contextual information and their underlying models are queried an<br />ad-hoc manner. Which makes it impossible to guarantee the quality of the results<br />being returned, and hence the reliability of context-aware services.<br />　　The main idea behind our framework is to apply and adapt the principles of model <br />checking to query the contextual data structures. Because such query mechanisms have<br />to be sound, our approach is build upon a logic-based query language. We therefore<br />ensure that the results of any query (i) do not miss any information that satisfy its<br />necessary and sufficient conditions and (ii) ,do not contain any information that does<br />not satisfy the conditions. We describe the implementation of our framework and<br />discuss its applicability to existing graph-based contextual models., 総研大甲第1287号},
 title = {A Model Checking based Framework for Context-Aware Systems},
 year = {}
}