Modeling, Analyzing and Communicating Regulatory Ambiguity: An Empirical study

dc.contributor.authorKempe, Evelyn
dc.contributor.authorSemsar, Samin
dc.contributor.authorMassey, Aaron
dc.contributor.authorSampath, Sreedevi
dc.contributor.authorSeaman, Carolyn
dc.date.accessioned2024-05-06T15:05:54Z
dc.date.available2024-05-06T15:05:54Z
dc.date.issued2024
dc.descriptionMO2RE 2024, April 16, 2024, Lisbon, Portugal
dc.description.abstractRegulations outline high-level guidance or expectations for a profession or industry. Analyzing laws or regulations is one way a software developer would derive and document regulatory compliance requirements within their software design. However, ambiguities within regulations can make it challenging to define technical software design specifications for regulatory requirements. Further, due to the subjective nature of ambiguous phrasing within a law or regulation, the interpretation of the legal text can differ based on the interpreter’s perspective. Our study examines whether software developers can analyze regulatory ambiguities as a group using our modeling process and our online Ambiguity Heuristics Analysis Builder (AHAB) tool. Eleven participants formed three groups and modeled ambiguities within a regulation using our process and tool. Modeling regulatory ambiguity, while difficult for our participants, allowed them to communicate potential issues, ask meaningful questions, and deepen their knowledge of the regulation. Ambiguity modeling allows developers to articulate interpretation and compliance issues with the laws to other parties (i.e., lawyers) and document this requirement analysis step for future use. Documenting these intermediate steps is rarely highlighted in requirement analysis. However, it is useful to negotiate with regulators, avoid negligence, and show due diligence toward regulatory compliance. It can also lead to clarifying guidance software developers need to make better, more compliant choices during software design.
dc.description.urihttps://mo2re.github.io/assets/preprints/Kempe-et-al.pdf
dc.format.extent7 pages
dc.genreconference papers and proceedings
dc.genrepreprints
dc.identifierdoi:10.13016/m2m1sx-0rak
dc.identifier.urihttp://hdl.handle.net/11603/33609
dc.language.isoen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Student Collection
dc.titleModeling, Analyzing and Communicating Regulatory Ambiguity: An Empirical study
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-4698-6034
dcterms.creatorhttps://orcid.org/0000-0001-6588-9830

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