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Web services (WS) are the preferred approach in realizing the service-oriented computing paradigm. However, this comes with challenges such as complexity and uncertainty that hinder their practical application. Bayesian networks (BNs) are one of the techniques used to address these challenges. The objective of this mapping study was to determine what is known about the use of Bayesian networks in web services research. To do this, we identified and selected rigorously 69 articles (out of the 532 identified) published on the subject in 2001-2021. We then classified and analyzed these articles by Web service themes (Service Composition, Service Management, Service Engineering), Objectives (Prediction, Description, Prescription), Types of BN (Basic, Combined, Extended), and Evaluation methods (Proof of concept, Experiment, No evaluation). In doing so, we hope to provide a clear understanding of the subject. We also identify and suggest avenues for future research. Thus, the review results can help researchers and practitioners interested by the application of BNs in WS research.

Context. Web services (WSs) are the preferred approach in realizing the service-oriented computing paradigm. However, this comes with challenges like complexity and uncertainty. Bayesian networks (BNs) are one of the techniques used to deal with these challenges. Objective. This study aims to determine and describe what is known about the use of BNs in WSs research. Methods. Using the scoping review method, we selected 69 (among the 532 identified) articles published on the subject (2001-2021). These articles were classified by research themes (What), research objectives (Why), and the types of bayesian network used (How). Results. The research themes explored are, in order of importance, Service composition, Service management, and Service engineering. In terms of research objectives, the articles mainly focused on Prediction, Description, and Prescription. Finally, the types of BNs used are Basic, Combined, and Extended BNs. Conclusion. This review offers a first structured picture of the use of BNs in WSs. Its results can help researchers and practitioners interested in the subject.