A critical analysis of legal requirements engineering from the perspective of legal practice

Boella, Guido; Humphreys, Llio; Muthuri, Robert; Rossi, Piercarlo; Torre, Leendert van der

doi:10.1109/relaw.2014.6893476

Cited by 18 publications

(28 citation statements)

References 21 publications

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“…Ghanavati et al [21] proposed a systematic method (based on the Goal-oriented Requirement Language) to extract legal requirements from regulations and represented them using a conceptual meta-model, i.e., a legal profile. Boella et al [22] compared methodologies for extracting legal requirements. They identified that most methodologies do not provide mechanisms to articulate effectively the (potential) unwritten rules that might influence legal reasoning, such as the context of the legal scenario.…”

Section: Related Workmentioning

confidence: 99%

The Grace Period Has Ended: An Approach to Operationalize GDPR Requirements

Ayala-Rivera

Pasquale

2018

2018 IEEE 26th International Requirements Engineering Conference (RE)

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Section: Related Workmentioning

confidence: 99%

The Grace Period Has Ended: An Approach to Operationalize GDPR Requirements

Ayala-Rivera

Pasquale

2018

2018 IEEE 26th International Requirements Engineering Conference (RE)

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“…Ensuring traceability i.e. providing references to the legislation text is considered to be important for such tools [9,11,29]. References, for instance, allow companies to consult the legislations in case of confusion or if they need to verify an assessment.…”

Section: Framework For a Compliance Assessment Systemmentioning

confidence: 99%

Legislative Compliance Assessment: Framework, Model and GDPR Instantiation

Agarwal

Steyskal

Antunovic

et al. 2018

Lecture Notes in Computer Science

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Legislative compliance assessment tools are commonly used by companies to help them to understand their legal obligations. One of the primary limitations of existing tools is that they tend to consider each regulation in isolation. In this paper, we propose a flexible and modular compliance assessment framework that can support multiple legislations. Additionally, we describe our extension of the Open Digital Rights Language (ODRL) so that it can be used not only to represent digital rights but also legislative obligations, and discuss how the proposed model is used to develop a flexible compliance system, where changes to the obligations are automatically reflected in the compliance assessment tool. Finally, we demonstrate the effectiveness of the proposed approach through the development of a General Data Protection Regulatory model and compliance assessment tool.

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“…Law and policies are subject to contextual and dynamic interpretation across different jurisdictions, legal systems and policy environments [22]. Legal requirements cannot be comprehensively itemized/programmed, nor can the rule of law, privacy and data protection be hard-coded, in particular, where judgement or an exercise of discretion is required [14] [15]. Thus, indirect strategies [16] and design tactics [17], including privacy engineering and risk management, will need to be employed to ensure both compliance with the Australian legal system, and beyond that, the proactive adoption of privacy and data protection safeguards and ethical principles.…”

Section: Legal Workflow Processingmentioning

confidence: 99%

“…In this project we are therefore addressing two separate but linked sets of problems: (i) the coexistence of both artificial and human decision-making and information processes; and (ii) the modelling of specific legal requirements arising from different legal and government sources [31] [32]. We are considering a blended "RegTech" perspective 14 to be applied to law enforcement and security with the due legal protections in place.…”

Section: Examplementioning

confidence: 99%