A metamodel and taxonomy to facilitate context-aware service adaptation

• Published in: Computers & electrical engineering Vol. 44; pp. 262 - 279
• Main Authors: Peinado, Sonia, Ortiz, Guadalupe, Dodero, Juan Manuel
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2015
• Subjects: Adaptation; Applications programs; Architecture (computers); Collection; Context-awareness; Electrical engineering; Markets; Metamodel; Metamodels; Model-driven development; Taxonomy; Web services; Context-awareness; Web services; Metamodel; Model-driven development
• ISSN: 0045-7906; 1879-0755
• DOI: 10.1016/j.compeleceng.2015.02.004

[Display omitted] •A context metamodel to classify different types of contexts has been provided.•MoDAS was improved through an XML document that facilitates context code-generation.•MoDAS provides model-driven trustworthy and well-structured code.•The aspect-oriented implementation facilitates system evolution and maintenance. Increasingly, companies are adopting service-oriented architectures to respond to rapid changes in the market. Even though there are excellent tools and frameworks for service-oriented architecture adoption and service development, the latest adaptation to context has not been properly dealt with yet. Current approaches are mostly focused on solving context-aware issues for web applications only, focusing mainly on client-side adaptation, and there is a clear lack of context taxonomies which facilitate context-aware applications. In our previous work we proposed Model-Driven Adaptable Services (MoDAS): a methodology and tool for the development of context-aware services. In this paper, we propose two key improvements on MoDAS: firstly, leveraging the proposal’s abstraction level, facilitating the use of a larger collection of contexts through the definition of an extensible context taxonomy by means of a metamodel; secondly, providing additional opportunities for code generation.