book chapter · Frontiers in artificial intelligence and applications · 2025

A Systematic Approach to Assess Languages Proposed for Rules as Code

Sofia Ali, Giovanni Sileno, Tom van Engers

Cited by 0Open access

Abstract

This paper presents a framework for evaluating approaches to formalizing legal sources. The framework integrates adoption-related criteria, extending the scope of assessment beyond purely technical dimensions. We build upon three contemporary comparison frameworks for normative specification languages, combining the Technology-Organization-Environment framework with grounded theory and adding criteria from other IT fields. As an illustration, we applied the resulting framework to RegelSpraak (RuleSpeak) from the Dutch Tax Administration.

Cite this paper

APA 7

Ali, S., Sileno, G., & van Engers, T. (2025). A Systematic Approach to Assess Languages Proposed for Rules as Code. Frontiers in artificial intelligence and applications. https://doi.org/10.3233/faia251595

MLA 9

Ali, Sofia, et al. “A Systematic Approach to Assess Languages Proposed for Rules as Code.” Frontiers in artificial intelligence and applications, 2025, https://doi.org/10.3233/faia251595.

Chicago

Ali, Sofia, Giovanni Sileno, and Tom van Engers. 2025. “A Systematic Approach to Assess Languages Proposed for Rules as Code.” Frontiers in artificial intelligence and applications. https://doi.org/10.3233/faia251595.

Harvard

Ali, S., Sileno, G. and van Engers, T. (2025) ‘A Systematic Approach to Assess Languages Proposed for Rules as Code’, Frontiers in artificial intelligence and applications. Available at: https://doi.org/10.3233/faia251595.

BibTeX

@incollection{ali2025systematic,
  title = {{A Systematic Approach to Assess Languages Proposed for Rules as Code}},
  author = {Ali, Sofia and Sileno, Giovanni and van Engers, Tom},
  booktitle = {Frontiers in artificial intelligence and applications},
  year = {2025},
  doi = {10.3233/faia251595}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.