Requirements Engineering (RE) for AI increasingly relies on benchmark scores to justify model selection, safety claims, and procurement decisions. Yet AI benchmarks are rarely reviewed as measurement instruments: their intended constructs, scoring assumptions, evidence limits, and validity arguments are often left impl...
Vitor Raposo, Sanaa A. Alwidian· 2026 IEEE 34th International...· 0 citations
Ambiguity in natural-language requirements remains a persistent challenge in safety-critical systems, where unclear specifications may propagate into verification failures, redesign effort, certification delays, and downstream safety concerns. Existing ambiguity detection approaches increasingly employ rule-based techn...
A. Nwosu, Sanaa A. Alwidian· 2026 IEEE 34th International...· 0 citations
Natural language requirements remain the primary means of specifying software systems in regulated and safetycritical domains, yet ambiguity can lead to inconsistent interpretations, unclear verification criteria, certification delays, and safety risks. Although AI-based ambiguity detection has advanced considerably, m...
A. Nwosu, Sanaa A. Alwidian· 2026 IEEE 34th International...· 0 citations
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