Krishna Ronanki
PhD Student - Software Engineering
Research Focus
My research centers on enabling the effective adoption and integration of generative AI models in software development.Key areas of focus include:
1. Infer evolving insights regarding the applicability of generative AI in software development.2. To assess the technological and organisational readiness and maturity levels for the adoption of generative AI.3. To identify the key barriers and enablers influencing the adoption of generative AI.4. To synthesise artefacts and mechanisms that facilitate the adoption of generative AI to enhance the value of AI-augmented development processes.
Publications
Requirements Engineering using Generative AI: Prompts and Prompting PatternsPrompt Smells: An Omen for Undesirable Generative AI OutputsInvestigating ChatGPT’s Potential to Assist in Requirements Elicitation ProcessesChatGPT as a Tool for User Story Quality Evaluation: Trustworthy Out of the Box?RE-centric Recommendations for the Development of Trustworthy (er) Autonomous Systems
Affiliations
