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Open access Oct 2026

Hybrid semantic-lexical framework for ambiguity detection in software requirements using TF-IDF, character n-grams, and SBERT

Ambiguity in software requirements is a major cause of misinterpretation, design defects, rework, and project delays in software engineering. This study proposes a hybrid semantic–lexical ambiguity detection framework that integrates lexical, structural, and contextual representations for identifying ambiguous software...

F. Khalid, Muhammad Yaseen, M. A. Sattar et al. · 0 citations
Open access Oct 2026

Hybrid TF-IDF and Character N-Gram-Based Feature Extraction for Ambiguity Detection in Software Requirements

Ambiguity in Software Requirement Specifications (SRS) is a critical issue in software engineering. Traditional ambiguity detection approaches rely on lexical or rule-based techniques, which capture surface-level patterns but fail to represent structural variations in requirement statements. This study proposes a hybri...

F. Khalid, Muhammad Yaseen, Gohar Rahman et al. · 0 citations

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