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Titlebook: Service-Oriented Computing – ICSOC 2023 Workshops; AI-PA, ASOCA, SAPD, Flavia Monti,Pierluigi Plebani,Massimo Mecella Conference proceedin

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Uncovering LLMs for Service-Composition: Challenges and Opportunitiesong time needed to create the composition. To ground the research on LLMs for service compositions, we identify six representative scenarios of service compositions from the literature and perform experiments with ChatGPT and GPT-4 as a notable, representative application of LLMs. Finally, we frame
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Transformative Predictive Modelling in the Business of Health: Harnessing Decision Trees for Strateg and Quick Unbiased Efficient Statistical Tree (QUEST) were employed, with systematic tweaks in their hierarchical structures. Through this method, 324 DTs were generated, adjusting structural parameters. Upon consolidating both datasets, a CRT model yielded a correct classification rate of 71.6%. S
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Conference proceedings 2024ice-Oriented Computing, ICSOC 2023. The conference was held in Rome, Italy, during November 28 – December 1, 2023..This year, these satellite events were organized around four main tracks, including a workshop track, a demonstration track, a Ph.D. symposium, and an invited tutorial track..The ICSOC
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Non-expert Level Analysis of Self-adaptive Systemsadapt existing solutions to new or other systems? In this paper, we propose a first step in this direction, by analyzing available self-adaptive systems (and especially their self-adaptive mechanisms) in various application domains using the Understand tool - widely used for software development, analysis, and quality assessment.
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Linear Structure of Training Samples in Quantum Neural Network Applicationsrefore, in this work, we experimentally evaluate QNNs that approximate an operator that predicts the outputs of a function from the automotive engineering area. We find that the linear structure of the training samples also influences the quality of QNNs in this real-world use case.
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XPS++: A Publish/Subscribe System with Built-In Security and Privacy by Designign. To illustrate the practicality of the proposed system, we discuss the design and implementation details with system demonstration of a prototype, dubbed .. Then, show a preliminary performance results.
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