Alfonso Cannavale, Antonio Della Porta, Gianmario Voria, Gilberto Recupito, Maria Teresa Baldassarre, Gemma Catolino, Fabio Palomba, Andrea De Lucia · 2026 · arXiv
DOI: 10.48550/arXiv.2610.29741 · open-access PDF
Penelitian Requirements Engineering (RE) yang ada terutama membahas AI dan sistem berbasis ML secara luas tetapi tidak memberikan perhitungan proses untuk sistem agen, yang perilaku non-determinisnya tidak dapat diprediksi pada saat desain. untuk memahami bagaimana tim benar-benar melanjutkan, kami menerapkan Teori Dasar Sosial-Teknis melalui 36 wawancara semi-struktur dengan praktisi, melepaskan pengumpulan data dan analisis sehingga temuan yang muncul mendorong sampling teoritis kami dan membentuk serangkaian
Machine translation (Meta M2M100); the English original follows.
How teams engineer requirements for systems built around Generative AI (GenAI) Agents remains empirically uncharted. Existing Requirements Engineering (RE) research mainly addresses AI and ML-based systems broadly but provides no process account for agentic systems, whose non-deterministic behavior cannot be anticipated at design time. To understand how teams actually proceed, we applied Socio-Technical Grounded Theory across 36 semi-structured interviews with practitioners, interleaving data collection and analysis so that emerging findings drove our theoretical sampling and shaped successive
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