Personal statement for the following internship:
The research focus is in Software and Data Analytics.
The sample research projects cover open research topics in software and data analytics including, Code Recommendation for Programming Language Learners; Intelligent Program Update Detection and Automation; Human-Computer Collaborative Dialogue Systems; Using Machine Learning to Estimate Software Development Effort; Understanding Implicit Extension APIs; Machine Learning Algorithms for Biometric Data Analysis; Performance Evaluation of Machine Learning Algorithms. Students participating in these projects will learn about topics including code recommendation systems, static program analysis, program transformation, classical techniques for classification in machine learning (e.g., k-nearest neighbors), deep learning, information retrieval, software testing, software maintenance, software repository mining, software quality metrics, crypto-currencies, and both theoretical and empirical measurements of algorithm performance.
