33 citations · 43 across the 6 of their papers we have counts for
6 papers
COCO: Testing Code Generation Systems via Concretized Instructions
Ming Yan, Junjie Chen, Jie M. Zhang +3
Code generation systems have been extensively developed in recent years to generate source code based on natural language instructions. However, despite their advancements, these s…
Fairness Improvement with Multiple Protected Attributes: How Far Are We?
Zhenpeng Chen, Jie M. Zhang, Federica Sarro +1
Existing research mostly improves the fairness of Machine Learning (ML) software regarding a single protected attribute at a time, but this is unrealistic given that many users hav…
FrUITeR: A Framework for Evaluating UI Test Reuse
Yixue Zhao, Justin Chen, Adriana Sejfia +5
UI testing is tedious and time-consuming due to the manual effort required. Recent research has explored opportunities for reusing existing UI tests from an app to automatically ge…
Automatic Testing and Improvement of Machine Translation
Zeyu Sun, Jie M. Zhang, Mark Harman +2
This paper presents TransRepair, a fully automatic approach for testing and repairing the consistency of machine translation systems. TransRepair combines mutation with metamorphic…
A Study of Bug Resolution Characteristics in Popular Programming Languages
Jie M. Zhang, Feng Li, Dan Hao +4
This paper presents a large-scale study that investigates the bug resolution characteristics among popular Github projects written in different programming languages. We explore co…
Automated Refactoring of Nested-IF Formulae in Spreadsheets
Jie Zhang, Shi Han, Dan Hao +2
Spreadsheets are the most popular end-user programming software, where formulae act like programs and also have smells. One well recognized common smell of spreadsheet formulae is…