Result: LEGOS-SLEEC: Tool for Formalizing and Analyzing Normative Requirements

Title:
LEGOS-SLEEC: Tool for Formalizing and Analyzing Normative Requirements
Authors:
Kolyakov, Kevin, Marsso, Lina, Feng, Nick, Quan, Junwei, Chechik, Marsha
Source:
2025 IEEE/ACM 47th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). :33-36
Publication Status:
Preprint
Publisher Information:
IEEE, 2025.
Publication Year:
2025
Subject Terms:
Model-Driven Software Engineering Techniques, FOS: Computer and information sciences, Computer Science - Computers and Society, Formal Methods in Verification, Computational Theory and Mathematics, Artificial Intelligence, Advanced Software Engineering Methodologies, Computers and Society (cs.CY), Software
Document Type:
Academic journal Article<br />Conference object
DOI:
10.1109/icse-companion66252.2025.00018
DOI:
10.48550/arxiv.2501.12544
Access URL:
http://arxiv.org/abs/2501.12544
Rights:
STM Policy #29
CC BY
Accession Number:
edsair.doi.dedup.....db1a5a021c7954ef99cf971acf65bb49
Database:
OpenAIRE

Further Information

Systems interacting with humans, such as assistive robots or chatbots, are increasingly integrated into our society. To prevent these systems from causing social, legal, ethical, empathetic, or cultural (SLEEC) harms, normative requirements specify the permissible range of their behaviors. These requirements encompass both functional and non-functional aspects and are defined with respect to time. Typically, these requirements are specified by stakeholders from a broad range of fields, such as lawyers, ethicists, or philosophers, who may lack technical expertise. Because such stakeholders often have different goals, responsibilities, and objectives, ensuring that these requirements are well-formed is crucial. SLEEC DSL, a domain-specific language resembling natural language, has been developed to formalize these requirements as SLEEC rules. In this paper, we present LEGOS-SLEEC, a tool designed to support interdisciplinary stakeholders in specifying normative requirements as SLEEC rules, and in analyzing and debugging their well-formedness. LEGOS-SLEEC is built using four previously published components, which have been shown to be effective and usable across nine case studies. Reflecting on this experience, we have significantly improved the user interface of LEGOS-SLEEC and its diagnostic support, and demonstrate the effectiveness of these improvements using four interdisciplinary stakeholders. Showcase video URL is: https://youtu.be/LLaBLGxSi8A