Jul 2026· Annual International Computer Software and Applications Conference· pp. 446-455· 0 citations· 44 references
Computer Science
Abstract
Converting activity diagrams in System Modeling Language (SysML) and natural language requirements into executable probabilistic verification results remains a key bottleneck for safetycritical model-based systems engineering (MBSE). This process involves the use of probabilistic symbolic models (PRISM) and probabilistic computation tree logic (PCTL) specifications. Existing automation approaches suffer from high error rates due to one-shot generation, lack of intermediate validation, and absence of systematic error recovery. This paper proposes a progressive verification pipeline integrating three synergistic innovations: (1) stepwise PCTL generation decomposes synthesis into validated phases; (2) dual-layer structured intermediate representation separates rule-level validation from model-level validation; (3) closed-loop targeted repair applies type-specific correction strategies. Evaluation on 52 industrial cases across 16 domains demonstrates 92% PCTL accuracy and 92% PRISM equivalence, outperforming state-of-the-art baselines by 7-12 percentage points while reducing verification time by over 90%. Ablation studies confirm synergistic gains across all pipeline components.
Evaluated on real-world system-level requirements documents, comprising more than 720 requirements and 72 use cases, the approach generates system-level diagrams comparable to those created by experts and provides valuable architectural recommendations.
Bastian Franze, Dominik Fuchß, Friedrich Wattenberg et al.· IEEE International Requireme...· 0 citations
: This paper presents an automated approach to deriving informal test cases from Requirements Interchange Format (ReqIF)-structured system requirements based on general-purpose Large Language Models (LLMs) with integrated linkage to test evidences based on Digital Dependability Identities (DDIs). Our method enables sce...
Adam Bachorek, Stefan Schwenk, Naveed Akram et al.· International Conference on...· 0 citations
This paper addresses automated unit test generation with large language models (LLMs). LLM-based test generation has not yet attained a quality level sufficient for practical use in industry. Although LLMs often reproduce API syntax faithfully, they frequently disregard semantic usage constraints and execution-environm...
Mass customization demands manufacturing systems that can rapidly reconfigure production workflows for diverse product variants. Traditional robot task programming requires specialized engineers and hours of manual coding, which slows agile changeover. We present a low-code task orchestration platform that uses large l...
Yanping Deng, Jinze Yu· 2026 IEEE International Conf...· 0 citations
The proposed FMSysML, a SysML‐based profile that captures the structural and behavioral semantics of flight modes and enforces static semantic consistency rules, enables scalable, traceable, and practical formal verification of safety‐critical flight mode transitions.
Heng Xu, Zhi-Qiu Huang, Fan Shi et al.· Software, Practice & Experie...· 0 citations
A dual-LLM pipeline integrating lightweight specification generation with reasoning-oriented code synthesis is presented, establishing a robust foundation for scalable, artificial intelligence-driven automation in software engineering.
Van-Viet Nguyen, Huu-Khanh Nguyen, Kim-Son Nguyen et al.· Bulletin of Electrical Engin...· 0 citations
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