AI coding agents implement software from naturallanguage instructions, but the intent behind that work is lost when stated only in chat sessions. Spec-driven development (SDD) addresses this by having developers and agents write specifications that guide implementation, yet evidence on its use comes largely from tool v...
Shyam Agarwal, Anmol Singhal, A. Macvean et al.· 2 citations
An AI-assisted elicitation workflow that combines theory-guided script generation grounded in business goals with live support for topic coverage tracking and on-demand follow-up question generation is presented, positioning AI-assisted workflows as elicitation scaffolds for future studies.
Anmol Singhal, Paulo Carvalho, Travis D. Breaux· 0 citations
The results demonstrate that, once a domain metamodel and expert-authored examples are available, few-shot code generation can extract legal metadata relationships without training a task-specific supervised model and can be adapted to unseen legislation.
Anmol Singhal, Travis D. Breaux· Requirements Engineering· 0 citations
The state of the art in AI for requirements engineering research leading up to the transformation, before reviewing advances in LLMs, and two subsequent research areas: prompt programming and generalist SE agents, which combine multiple LLM advances to yield semi-autonomous processes that complete SE tasks.
Travis D. Breaux, Anmol Singhal· Requirements Engineering· 0 citations
SpecMine lets the community study, for the first time, how software is specified in the age of AI agents through two censuses: a broad census of spec.md files and a census-wide index of typed references.
Shyam Agarwal, Anmol Singhal, Travis D. Breaux et al.· 0 citations
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