Celia Chen’s research focuses on systems and software engineering, specifically on unorthodox modeling to measure and improve software quality using natural language processing. Read her Oxy Story profile.
My primary fields of interest are systems and software engineering, specifically in unorthodox modeling to measure and improve software quality using natural language processing.
Current research interests:
- Software quality synergy and conflict
- Software quality measurement
- Non-functional requirement
- Applied NLP in software quality measurement
Recent Published Papers
Chen, C., Shoga, M., Li, B., and Boehm, B. (2019, April). Assessing Software Understandability in Systems by Leveraging Fuzzy Method and Linguistic Analysis. In 2019 Conference on Systems Engineering Research (CSER) (2019 CSER).
Chen, C., Shoga, M., and Boehm, B. (2019, July). Characterizing Software Maintainability in Issue Summaries using a Fuzzy Classier. In 2019 IEEE International Conference on Software Quality, Reliability and Security (QRS).
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I teach various courses during the two-semester academic year, and my courses span all levels of the curriculum. Courses include:
- COMP 131: Fundamentals of Computer Science
- COMP 229: Data Structures
- COMP 331: Natural Language Processing
- COMP 371: Mobile Apps
- COMP 373: Databases