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#requirements-engineering News & Analysis

4 articles tagged with #requirements-engineering. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles
AIBullisharXiv – CS AI · Jun 27/10
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Bridging Requirements and Architecture: Multi-Agent Orchestration with External Knowledge and Hierarchical Memory

Researchers propose MAAD (Multi-Agent Architecture Design), a framework using orchestrated AI agents with external knowledge and hierarchical memory to automate software architecture design from requirements. The system outperforms existing approaches and demonstrates that advanced LLMs significantly improve architectural quality and validation efficiency.

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AINeutralarXiv – CS AI · May 285/10
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Improving Requirements Classification with SMOTE-Tomek Preprocessing

Researchers applied SMOTE-Tomek preprocessing to address class imbalance in requirements engineering classification, achieving 76.16% accuracy with logistic regression compared to a 58.31% baseline. The technique combines synthetic minority oversampling with Tomek link removal and stratified K-fold validation on the PROMISE dataset of 969 categorized requirements.

AIBullisharXiv – CS AI · Feb 276/106
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Automating the Detection of Requirement Dependencies Using Large Language Models

Researchers developed LEREDD, an LLM-based system that automates the detection of dependencies between software requirements using Retrieval-Augmented Generation and In-Context Learning. The system achieved 93% accuracy in classifying requirement dependencies, significantly outperforming existing baselines with relative gains of over 94% in F1 scores for specific dependency types.