Krishna Ronanki

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Research Focus

My research centers on enabling the effective and responsible adoption and integration of large language models in software development.Key areas of focus include:
1. Infer evolving insights regarding the applicability of LLMs in software development.2. To assess the technological, organisational and regulatory readiness and maturity levels for the adoption of LLMs.3. To identify the key barriers and enablers influencing the adoption of LLMs.4. To synthesise artefacts and mechanisms that facilitate the adoption of LLMs to enhance the value of AI-augmented development processes.

Publications

Recommendations for efficient and responsible LLM adoption within industrial software developmentRequirements Engineering using Generative AI: Prompts and Prompting PatternsInvestigating ChatGPT’s Potential to Assist in Requirements Elicitation ProcessesRE-centric Recommendations for the Development of Trustworthy (er) Autonomous Systems

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