2 citations · 5 across the 5 of their papers we have counts for
5 papers
Exploring Multi-Programming-Language Commits and Their Impacts on Software Quality: An Empirical Study on Apache Projects
Zengyang Li, Xiaoxiao Qi, Qinyi Yu +3
Context: Modern software systems (e.g., Apache Spark) are usually written in multiple programming languages (PLs). There is little understanding on the phenomenon of multi-programm…
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects
Zengyang Li, Wenshuo Wang, Sicheng Wang +2
Background: In modern software systems, more and more systems are written in multiple programming languages (PLs). There is no comprehensive investigation on the phenomenon of mult…
Understanding Bugs in Multi-Language Deep Learning Frameworks
Zengyang Li, Sicheng Wang, Wenshuo Wang +3
Deep learning frameworks (DLFs) have been playing an increasingly important role in this intelligence age since they act as a basic infrastructure for an increasingly wide range of…
Technical Debt Management in OSS Projects: An Empirical Study on GitHub
Zengyang Li, Yilin Peng, Peng Liang +4
Technical debt (TD) refers to delayed tasks and immature artifacts that may bring short-term benefits but incur extra costs of change during maintenance and evolution in the long t…
Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects
Zengyang Li, Xiaoxiao Qi, Qinyi Yu +3
Modern software systems, such as Spark, are usually written in multiple programming languages (PLs). Besides benefiting from code reuse, such systems can also take advantages of sp…