2023 – 2024 Research Highlights
Intelligent Developer Tools for Software and Data Engineers
My research focuses on the design of intelligent developer tools for software and data engineers so that they can be more productive during system development. The tools are designed for testing, debugging, and documentation of software/AI systems and their associated artifacts. The design and evaluation of the tools follow principles and methodologies from three areas in computer science: Software engineering (SE), Machine Learning (ML), and Human Computer Interaction (HCI).
Research Interests
- Democratized Data Science (HCI → AI4DS, SE4DS). Can we democratize the adoption of AI/ML techniques across stakeholders during ML systems development?
- Modernized Software Issue Management (HCI → AI4SE). Can we modernize software bug and critical incident management systems using AI-assisted solutions?
- Usable Cybersecurity Engineering (HCI → AI4CE). Can we support better integration of AI-assisted security solutions into (networked) software systems?
- Guided API Adoption (HCI → AI4SE). Can we support software teams and developers during their selection and reuse of APIs using AI-assisted solutions?
Selected Publications
- An Empirical Study on Bug Severity Estimation Using Source Code Metrics and Static Analysis. E. Mashhadi, S. Chowdhury, S. Modaberi, H. Hemmati, & G. Uddin. Journal of Systems and Software, 217, 112179, 2024.
- How Far Are We with Automated Machine Learning? Characterization and Challenges of AutoML Toolkits. M. A. Al Alamin & G. Uddin. Empirical Software Engineering, 29(4), 91, 2024.
- Method-Level Bug Prediction: Problems and Promises. S. Chowdhury, G. Uddin, H. Hemmati, & R. Holmes. ACM Transactions on Software Engineering and Methodology, 33(4), 1-31.
- A Systematic Mapping Study of Crowd Knowledge Enhanced Software Engineering Research Using Stack Overflow. M. Tanzil, S. Chowdhury, S. Modaberi, G. Uddin, & H. Hemmati. arXiv preprint arXiv:2408.07913, 2024.
- SWE-Bench+: Enhanced Coding Benchmark for LLMs. R. Aleithan, H. Xue, M. M. Mohajer, E. Nnorom, G. Uddin, & S. Wang. arXiv preprint arXiv:2410.06992, 2024.