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Dr. Qing Mi
米慶 PhD Graduate (2018) 2018Now Lecturer (Master Supervisor), College of Computer Science, Beijing University of Technology, China
Personal website ↗About
Dr. Qing Mi is a PhD graduate in the Department of Computer Science, City University of Hong Kong.
Now Lecturer (Master Supervisor), College of Computer Science, Beijing University of Technology, China.
Research Interests
Publications (14)
- Improving bug localization with word embedding and enhanced convolutional neural networks.
- On the value of a prioritization scheme for resolving Self-admitted technical debt.
- Not all bug reopens are negative: A case study on eclipse bug reports.
- Machine translation-based bug localization technique for bridging lexical gap.
- Improving code readability classification using convolutional neural networks.
- Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest.
- An Inception Architecture-Based Model for Improving Code Readability Classification.
- BlueJ-UML: Learning Object-Oriented Programming Paradigm using Interactive Programming Environment
- A Gamification Technique for Motivating Students to Learn Code Readability in Software Engineering
- Using Eye Tracking Technology to Analyze the Impact of Stylistic Inconsistency on Code Readability.
- Improving Bug Localization with an Enhanced Convolutional Neural Network.
- Identifying Textual Features of High-Quality Questions: An Empirical Study on Stack Overflow.
- Measuring the Stylistic Inconsistency in Software Projects using Hierarchical Agglomerative Clustering.
- An empirical analysis of reopened bugs based on open source projects.