One of the consequences of evolution can be the inability to access objects created using the older schema definition under the new definition and vice versa. Instance adaptation is the conversion of objects to a compatible definition or making objects exhibit a compatible interface. Existing evolution approaches are committed to a particular instance adaptation strategy. This is because change...

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This paper deals with interoperability of enterprises. Interoperability is a multi-form issue and can be studied at different levels. This research work focuses on the business level and particularly on the decisional aspect so called decisional interoperability. The objective of the paper is to present how to develop decisional interoperability using design principles with mathematical formali...

Current aspect-oriented programming (AOP) enhances maintainability and comprehensibility by modularizing concerns crosscutting multiple components but lacks the support for the hierarchical composition of aspects themselves. On the contrary, black box composition provides simple and safe modularization for its strong information hiding, which is, however, the main obstacle for a black box compo...

Syntax Multiplicity AssociationEnd TypedFeature

Aspect Oriented Programming (AOP) was introduced 10 years ago and many research projects have focused on broadening AOP and its target areas. However, few applications in the Grid computing world adopt AOP in comparison with very vigorous research of AOP. Therefore, we present a case study that covers a general networking problem in the Grid computing. AOP provides a novel solution of the probl...

In this paper, we present an approach to develop parallel applications based on aspect oriented programming. We propose a collection of aspects to implement group communication mechanisms on parallel applications. In our approach, parallelisation code is developed by composing the collection into the application core functionality. The approach requires fewer changes to sequential applications ...

This paper offers a first, in-breadth survey and comparison of current aspect mining tools and techniques. It focuses mainly on automated techniques that mine a program’s static or dynamic structure for candidate aspects. We present an initial comparative framework for distinguishing aspect mining techniques, and assess known techniques against this framework. The results of this assessment may...

Subjectivity detection is the task of identifying objective and subjective sentences. Objective sentences are those which do not exhibit any sentiment. So, it is desired for a sentiment analysis engine to find and separate the objective sentences for further analysis, e.g., polarity detection. In subjective sentences, opinions can often be expressed on one or multiple topics. Aspect extraction ...