Automating the Detection of Requirement Dependencies Using Large Language Models
Quick summary
arXiv:2602.22456v2 Announce Type: replace-cross Abstract: Requirements are inherently interconnected through various types of dependencies. Identifying these dependencies is essential, as they underpin critical decisions and influence a range of activities throughout software development. However, this task is challenging, particularly in modern software systems, given the high volume of complex, coupled requirements. These challenges are further exacerbated by the ambiguity of Natural Language (NL) requirements and their constant change. Consequently, requirement dependency detection is often
Key takeaways
- arXiv:2602.22456v2 Announce Type: replace-cross Abstract: Requirements are inherently interconnected through various types of dependencies.
- Identifying these dependencies is essential, as they underpin critical decisions and influence a range of activities throughout software development.
- However, this task is challenging, particularly in modern software systems, given the high volume of complex, coupled requirements.
Why it matters
“Automating the Detection of Requirement Dependencies Using Large Language Models” illustrates how changes in the AI ecosystem can affect products, workflows and user expectations together. Its lasting significance depends on measurable adoption, cost and safety outcomes.
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