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Article
Publication date: 27 September 2019

Sihem Cherif, Raoudha Ben Djemaa and Ikram Amous

This paper aims to propose an approach for the self-adaptation of the Web composition called SAMIWA. The SAMIWA framework helps users during the search, invocation and…

Abstract

Purpose

This paper aims to propose an approach for the self-adaptation of the Web composition called SAMIWA. The SAMIWA framework helps users during the search, invocation and composition of the appropriate Web service.

Design/methodology/approach

The authors’ approach allows expressing requirements by taking into account potential users’ context in addition to the functional one.

Findings

In this paper, the authors introduce a new context-aware approach that provides a dynamic adaptation of service compositions.

Originality/value

The author has implemented a Web application that enables selection and composition of the most appropriate composite service.

Details

International Journal of Pervasive Computing and Communications, vol. 15 no. 3/4
Type: Research Article
ISSN: 1742-7371

Keywords

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Article
Publication date: 6 June 2016

Sihem Cherif, Raoudha Ben Ben Djemaa and Ikram Amous

The purpose of this paper is to describe the composite service and the context properties related to the users in the business process execution language (BPEL) file.

Abstract

Purpose

The purpose of this paper is to describe the composite service and the context properties related to the users in the business process execution language (BPEL) file.

Design/methodology/approach

The authors’ approach allows expressing requirements by taking into account potential users’ context in addition to the functional one.

Findings

In this paper, the authors introduce a new context-aware approach that provides a dynamic adaptation of service compositions.

Originality/value

This paper introduces a user-aware approach for describing and publishing context-aware composite Web service.

Details

International Journal of Pervasive Computing and Communications, vol. 12 no. 2
Type: Research Article
ISSN: 1742-7371

Keywords

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