Formal Consistency Checking over Specifications in Natural Languages
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Abstract (arXiv)
Early stages of system development involve outlining desired features such as functionality, availability, or usability. Specifications are derived from these features that concretize vague ideas presented in natural languages. The challenge for the validation of specifications arises from the syntax and semantic gap between different representations and the need of automatic tools. In this paper, we present a requirement-consistency maintenance framework to produce consistent representations. The first part is the automatic translation from natural languages describing functionalities to formal logic with an abstraction of time. It extends pure syntactic parsing by adding semantic reasoning and the support of partitioning input and output variables. The second part is the use of synthesis techniques to examine if the requirements are consistent in terms of realizability. When the process fails, the formulas that cause the inconsistency are reported to locate the problem.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 May 2014.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 0; 2024: 1; 2025: 2; 2026: 2.
8 papers.
- 2021DeepSTL -- From English Requirements to Signal Temporal Logiccited by 22
- 2022LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learningcited by 11
- 2022Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSEcited by 1
- 2024Integrating Explanations in Learning LTL Specifications from Demonstrationscited by 1
- 2025MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessmentcited by 1
- 2025Working Document -- Formalising Software Requirements with Large Language Modelscited by 0
- 2026LTLGuard: Formalizing LTL Specifications with Compact Language Models and Lightweight Symbolic Reasoningcited by 0
- 2026Towards an Agentic LLM-based Approach to Requirement Formalization from Unstructured Specificationscited by 0
- 2026Towards an Agentic LLM-based Approach to Requirement Formalization from Unstructured Specifications20 Apr 2026
- 2026LTLGuard: Formalizing LTL Specifications with Compact Language Models and Lightweight Symbolic Reasoning5 Mar 2026
- 2025Working Document -- Formalising Software Requirements with Large Language Models17 Jun 2025
- 2025MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment17 Jun 2025
- 2024Integrating Explanations in Learning LTL Specifications from Demonstrations3 Apr 2024
- 2022Technical Report on Neural Language Models and Few-Shot Learning for Systematic Requirements Processing in MDSE16 Nov 2022
- 2022LCRL: Certified Policy Synthesis via Logically-Constrained Reinforcement Learning21 Sep 2022
- 2021DeepSTL -- From English Requirements to Signal Temporal Logic21 Sep 2021