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Found 5 papers, 0 papers with code
Measuring Improvement of F$_1$-Scores in Detection of Self-Admitted Technical Debt
We find that our trained BERT model improves over the best performance of all previous methods in 19 of the 20 projects in cross-project scenarios.
TAPHSIR: Towards AnaPHoric Ambiguity Detection and ReSolution In Requirements
We introduce TAPHSIR, a tool for anaphoric ambiguity detection and anaphora resolution in requirements.
AI-enabled Automation for Completeness Checking of Privacy Policies
A prerequisite for GDPR compliance checking is to verify whether the content of a privacy policy is complete according to the provisions of GDPR.
On Systematically Building a Controlled Natural Language for Functional Requirements
[Results] Our main contributions are: (1) a qualitative methodology to systematically define a CNL for functional requirements; this methodology is general and applicable to information systems beyond the financial domain, (2) a CNL grammar to represent functional requirements; this grammar is derived from our experience in the financial domain, but should be applicable, possibly with adaptations, to other information-system domains, and (3) an empirical evaluation of our CNL (Rimay) through an industrial case study.
An Automated Framework for the Extraction of Semantic Legal Metadata from Legal Texts
Our work is motivated by two observations: (1) the existing requirements engineering (RE) literature does not provide a harmonized view on the semantic metadata types that are useful for legal requirements analysis; (2) automated support for the extraction of semantic legal metadata is scarce, and it does not exploit the full potential of artificial intelligence technologies, notably natural language processing (NLP) and machine learning (ML).
Software Engineering
