On Developing an Artifact-based Approach to Regulatory Requirements Engineering
- URL: http://arxiv.org/abs/2405.00415v1
- Date: Wed, 1 May 2024 09:51:56 GMT
- Title: On Developing an Artifact-based Approach to Regulatory Requirements Engineering
- Authors: Oleksandr Kosenkov, Michael Unterkalmsteiner, Jannik Fischbach, Daniel Mendez, Davide Fucci, Tony Gorschek,
- Abstract summary: Regulatory acts are a challenging source when eliciting, interpreting, and analyzing requirements.
No existing approach considers explicating and managing legal domain knowledge and engineering-legal coordination.
We introduce the first version of our Artifact Model for Regulatory Requirements Engineering (AM4RRE) and its conceptual foundation.
- Score: 18.256422026527986
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Context: Regulatory acts are a challenging source when eliciting, interpreting, and analyzing requirements. Requirements engineers often need to involve legal experts who, however, may often not be available. This raises the need for approaches to regulatory Requirements Engineering (RE) covering and integrating both legal and engineering perspectives. Problem: Regulatory RE approaches need to capture and reflect both the elementary concepts and relationships from a legal perspective and their seamless transition to concepts used to specify software requirements. No existing approach considers explicating and managing legal domain knowledge and engineering-legal coordination. Method: We conducted focus group sessions with legal researchers to identify the core challenges to establishing a regulatory RE approach. Based on our findings, we developed a candidate solution and conducted a first conceptual validation to assess its feasibility. Results: We introduce the first version of our Artifact Model for Regulatory Requirements Engineering (AM4RRE) and its conceptual foundation. It provides a blueprint for applying legal (modelling) concepts and well-established RE concepts. Our initial results suggest that artifact-centric RE can be applied to managing legal domain knowledge and engineering-legal coordination. Conclusions: The focus groups that served as a basis for building our model and the results from the expert validation both strengthen our confidence that we already provide a valuable basis for systematically integrating legal concepts into RE. This overcomes contemporary challenges to regulatory RE and serves as a basis for exposure to critical discussions in the community before continuing with the development of tool-supported extensions and large-scale empirical evaluations in practice.
Related papers
- Practices, Challenges, and Opportunities When Inferring Requirements From Regulations in the FinTech Sector - An Industrial Study [1.0936851319953484]
Understanding and interpreting regulatory norms and inferring software requirements from them is a critical step towards regulatory compliance.
This study investigates the complexities of requirement engineering in regulatory contexts, pinpointing various issues and discussing them in detail.
We have identified key practices for managing regulatory requirements in software development, and have pinpointed several challenges.
arXiv Detail & Related papers (2024-05-05T09:39:08Z) - Rethinking Legal Compliance Automation: Opportunities with Large Language Models [2.9088208525097365]
We argue that the examination of (textual) legal artifacts should, first employ broader context than sentences.
We present a compliance analysis approach designed to address these limitations.
arXiv Detail & Related papers (2024-04-22T17:10:27Z) - Normative Requirements Operationalization with Large Language Models [3.456725053685842]
Normative non-functional requirements specify constraints that a system must observe in order to avoid violations of social, legal, ethical, empathetic, and cultural norms.
Recent research has tackled this challenge using a domain-specific language to specify normative requirements.
We propose a complementary approach that uses Large Language Models to extract semantic relationships between abstract representations of system capabilities.
arXiv Detail & Related papers (2024-04-18T17:01:34Z) - Validation-Driven Development [54.50263643323]
This paper introduces a validation-driven development (VDD) process that prioritizes validating requirements in formal development.
The effectiveness of the VDD process is demonstrated through a case study in the aviation industry.
arXiv Detail & Related papers (2023-08-11T09:15:26Z) - A multidomain relational framework to guide institutional AI research
and adoption [0.0]
We argue that research efforts aimed at understanding the implications of adopting AI tend to prioritize only a handful of ideas.
We propose a simple policy and research design tool in the form of a conceptual framework to organize terms across fields.
arXiv Detail & Related papers (2023-03-17T16:33:01Z) - Towards a multi-stakeholder value-based assessment framework for
algorithmic systems [76.79703106646967]
We develop a value-based assessment framework that visualizes closeness and tensions between values.
We give guidelines on how to operationalize them, while opening up the evaluation and deliberation process to a wide range of stakeholders.
arXiv Detail & Related papers (2022-05-09T19:28:32Z) - An Uncommon Task: Participatory Design in Legal AI [64.54460979588075]
We examine a notable yet understudied AI design process in the legal domain that took place over a decade ago.
We show how an interactive simulation methodology allowed computer scientists and lawyers to become co-designers.
arXiv Detail & Related papers (2022-03-08T15:46:52Z) - A Principled Design of Image Representation: Towards Forensic Tasks [75.40968680537544]
We investigate the forensic-oriented image representation as a distinct problem, from the perspectives of theory, implementation, and application.
At the theoretical level, we propose a new representation framework for forensics, called Dense Invariant Representation (DIR), which is characterized by stable description with mathematical guarantees.
We demonstrate the above arguments on the dense-domain pattern detection and matching experiments, providing comparison results with state-of-the-art descriptors.
arXiv Detail & Related papers (2022-03-02T07:46:52Z) - Unsupervised Domain Generalization for Person Re-identification: A
Domain-specific Adaptive Framework [50.88463458896428]
Domain generalization (DG) has attracted much attention in person re-identification (ReID) recently.
Existing methods usually need the source domains to be labeled, which could be a significant burden for practical ReID tasks.
We propose a simple and efficient domain-specific adaptive framework, and realize it with an adaptive normalization module.
arXiv Detail & Related papers (2021-11-30T02:35:51Z) - An interdisciplinary conceptual study of Artificial Intelligence (AI)
for helping benefit-risk assessment practices: Towards a comprehensive
qualification matrix of AI programs and devices (pre-print 2020) [55.41644538483948]
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence.
The aim is to identify shared notions or discrepancies to consider for qualifying AI systems.
arXiv Detail & Related papers (2021-05-07T12:01:31Z) - Modelling Value-oriented Legal Reasoning in LogiKEy [0.0]
We show how LogiKEy can harness interactive and automated theorem proving technology to provide a testbed for the development and formal verification of legal domain-specific languages and theories.
We establish novel bridges between latest research in knowledge representation and reasoning in non-classical logics, automated theorem proving, and applications in legal reasoning.
arXiv Detail & Related papers (2020-06-23T06:57:15Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.