Journal Information

IEEE Transactions on Services Computing (TSC)

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Impact Factor:
5.8
Publisher:
IEEE
ISSN:
1939-1374
Viewed:
45483
Tracked:
54
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Call For Papers

IEEE Transactions on Services Computing (TSC) is an academic journal published by IEEE. (ISSN 1939-1374, impact factor 5.8, CCF A).

Scope of IEEE Transactions on Services Computing The scope covers all computing and software aspects of the science and technology of services innovation research and development. IEEE Transactions on Services Computing emphasizes the algorithmic, mathematical, statistical and computational methods that are central in services computing, the emerging field of Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, Services Operations and Management. Specifically, the transactions covers but is not limited to the following topics: Mathematical foundation of Services Computing, Service-Oriented Architecture (SOA), Service creation, development, and management, Linkage between IT services and business services, Web services security and privacy, Web services agreement and contract, Web services discovery and negotiation, Web services management, Web services collaboration, Quality of Service for Web services, Web services modeling and performance management, Solution frameworks for building service-oriented applications, Composite Web service creation and enabling infrastructures, Business and scientific applications using Web services and SOA, Business process integration and management using Web services, Standards and specifications of Services Computing, Utility models and solution architectures, Resource acquisition models in Utility Computing, Mathematical foundation of business process modeling, integration and management, Business process modeling, integration, and collaboration. Additional Information TSC is a scholarly, archival journal published quarterly. It is noted that only service-oriented grid computing topics will be covered by TSC. TSC is a journal that focuses on research on the algorithmic, mathematical, statistical and computational methods that are central in services computing; the emerging field of Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, Services Operations and Management. Editorial board and staff Please be sure to visit the TSC Taxonomy List. Impact Factor: TSC‘s 2024 impact factor is 5.8.
Last updated by Dou Sun on

Special Issues

Special Issue on Large Language Models in Service-Oriented Ecosystems Design: Advances and Applications Submission Date: 2026-10-31 During the latest years, Large Language Models (LLMs) have emerged as a transformative technology opening new frontiers and opportunities across many areas of ICT, including complex systems design and engineering. One of the most promising applications lies in service-oriented ecosystems, where LLMs can enhance design processes, support service identification, streamline service discovery, optimize composition mechanisms, and, more generally, enable intelligent automation within Service-Oriented Architectures (SOAs), thus representing a significant - yet still largely underexplored - opportunity for research and practice. In this context, combining LLMs with the modular and interoperable principles of SOAs could open new research directions for designing and developing adaptive, context-aware, and self-optimizing service ecosystems. This integration may enable systems to dynamically identify, discover, and compose services, reconfigure based on user needs, and continuously improve through natural language interactions. More broadly, the convergence of LLMs and SOAs denotes a potential paradigm shift in how distributed systems are conceptualized, designed, and implemented. It could lead to more flexible, responsive, and intelligent software architectures that are better aligned with evolving business goals and user requirements. This Special Issue aims at bringing together cutting-edge research that explores the intersection of LLMs and service-oriented computing, showcasing both theoretical advancements and practical implementations that highlight how LLMs can improve efficiency, accuracy, and scalability in service-oriented solutions design. In this respect, we welcome submissions that provide new insights into the application of LLMs in architectural decision-making, interoperability, and intelligent service identification, discovery and composition. The call for this Special Issue is open to all researchers and practitioners, ensuring a broad and diverse range of contributions from academia and industry. Topics of interest We invite original research articles, review papers and case study papers on topics including, but not limited to: LLMs for Improving Efficiency, Accuracy, and Scalability of Service-Oriented Architectures LLM-Driven Approaches for Intelligent Service Identification, Discovery, Orchestration, and Composition LLM-Assisted Design of Service-Based Software Architectural Solutions LLM-Powered Service Interoperability and Integration Solutions Case Studies, Applications, and Real-World Implementations of LLMs in Service-Oriented Computing Assessing the Impact of LLMs on Reliability, Maintainability, and Performance in Service-Oriented Architectures Important Dates Manuscript Submission Deadline: October 31, 2026 First Round Notification: March 1, 2027 Revised Manuscript Due: May 1, 2027 Final Decision Notification: June 1, 2027 Final Manuscript Submission Due: June 15, 2027 Expected Publication: Mid 2027 Guest Editors Prof. Boualem Benatallah, Dublin City University, Insight SFI Research Centre on Data Analytics, Ireland Dr. Massimiliano Garda, University of Brescia, Department of Information Engineering, Italy Dr. Ada Bagozi, University of Brescia, Department of Information Engineering, Italy Dr. Ilche Georgievski, University of Stuttgart, Department of Service Computing, Germany Distinguished Prof. Michael Sheng, School of Computing, Macquarie University, Australia Prof. Yingjie Wang, School of Computer and Control Engineering, Yantai University, China https://www.computer.org/digital-library/journals/tsc/cfp-language-models-ecosystems-design
Last updated by Dou Sun on

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