Online property booking platforms are widely used and rely heavily on consistent, up-to-date information about accommodation facilities, often sourced from third-party providers.However, these external data sources are frequently affected by incomplete or inconsistent details, which can frustrate users and result in a loss of market.In response to these challenges, we present an industrial case study involving the integration of Large Language Models (LLMs) into CALEIDOHOTELS, a property reservation platform developed by FERVENTO.We evaluate two well-know LLMs in this context: Mistral 7B, fine-tuned with QLoRA, and Mixtral 8x7B, utilized with a refined system prompt.Both models were assessed based on their ability to generate consistent and homogeneous descriptions while minimizing hallucinations.Mixtral 8x7B outperformed Mistral 7B in terms of completeness (99.6% vs. 93%), precision (98.8% vs. 96%), and hallucination rate (1.2% vs. 4%), producing shorter yet more concise content (249 vs. 277 words on average).However, this came at a significantly higher computational cost: 50GB VRAM and $1.61/hour versus 5GB and $0.16/hour for Mistral 7B.Our findings provide practical insights into the trade-offs between model quality and resource efficiency, offering guidance for deploying LLMs in production environments and demonstrating their effectiveness in enhancing the consistency and reliability of accommodation data.

Performance testing is crucial to assess that Web Applications provide a good user experience under different workloads. A workload reproduces the interactions of a number of concurrent users with the system, to observe its actual behavior under stress.Defining meaningful workloads is a key challenge in performance testing, and many solutions have been proposed in the literature to support testers in this task, mostly based on analyzing system logs describing real user behaviors. However, in our industrial and academic experience, we found that these solutions present some limitations, hindering performance testers’ applicability and productivity. In particular, (I) they require the system under test to be actually deployed in order to collect real user behaviors; (II) they offer limited support to automated management of data dependencies; (III) they lack support for emerging protocols, such as WebSocket.In this paper, we present E2E-Loader, a novel approach to automate the design of performance testing workloads for web applications. E2E-Loader generates workloads by exploiting existing End-to-End functional test cases and can be used at an early stage, before the system is deployed and actual user behaviors have been collected. Our solution features full WebSocket support and includes a customizable heuristic to automatically detect data dependencies.We empirically evaluate the proposed approach in an industrial case study. Results are promising and show that the workloads generated with E2E-Loader are generally comparable to those that were manually created by practitioners working with our industrial partner while requiring a fraction of the time to be obtained. Finally, we make E2E-Loader and its source code publicly available for interested practitioners and researchers.

Model-Driven Engineering (MDE) promises to enhance system development by reducing development time, and increasing productivity and quality. MDE is gaining popularity in several industry sectors, and is attractive also for critical systems where they can reduce efforts and costs for verification and validation (V&V), and can ease certification. Incorporating model-driven techniques into a legacy well-proven development cycle is not simply a matter of placing models and transformations in the design and implementation phases. We present the experience in the model-driven design and V&V of a safety-critical system in the railway domain, namely the Prolan Block, a railway interlocking system manufactured by the Hungarian company Prolan Co., required to be CENELEC SIL-4 compliant. The experience has been carried out in an industrial-academic partnership within the EU project CECRIS. We discuss the challenges and the lessons learnt in this pilot project of introducing MD design and testing techniques into the company's traditional V-model process.