Baysal's research interests span a wide range of software engineering, including empirical software engineering, AI for software engineering (AI4SE), mining software repositories, software maintenance and evolution, and human aspects of software engineering. She applies AI, ML, and NLP techniques...
Baysal's research interests span a wide range of software engineering, including empirical software engineering, AI for software engineering (AI4SE), mining software repositories, software maintenance and evolution, and human aspects of software engineering. She applies AI, ML, and NLP techniques to tackle software engineering problems. Together with her students, she develops novel techniques and tools to synthesize knowledge from the development artifacts (e.g., pull requests, issues, source code, community contributions and discussions) and to support practitioners' decision-making. Much of her work focuses on understanding how software engineers create, use, and maintain software systems.
In her research, I often collaborate with tech companies such as IFS Canada, Ericsson Canada, Shopify, Mozilla, Google, etc. to evaluate my research programs to ensure that they effectively address issues of industrial relevance.