activity
20202022
most citedSynergy between Machine/Deep Learning and Software Engineering: How Far Are We?

15 citations · 28 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SE202212 cited

A Cross-Company Ethnographic Study on Software Teams for DevOps and Microservices: Organization, Benefits, and Issues

Xin Zhou, Huang Huang, He Zhang +3

Context: DevOps and microservices are acknowledged to be important new paradigms to tackle contemporary software demands and provide capabilities for rapid and reliable software de…

cs.SE20221 cited

Modeling Review History for Reviewer Recommendation:A Hypergraph Approach

Guoping Rong, Yifan Zhang, Lanxin Yang +3

Modern code review is a critical and indispensable practice in a pull-request development paradigm that prevails in Open Source Software (OSS) development. Finding a suitable revie…

cs.SE2022

An Industrial Experience Report on Retro-inspection

Lanxin Yang, He Zhang, Fuli Zhang +2

To reinforce the quality of code delivery, especially to improve future coding quality, one global Information and Communication Technology (ICT) enterprise has institutionalized a…

cs.CR2021

HFContractFuzzer: Fuzzing Hyperledger Fabric Smart Contracts for Vulnerability Detection

Mengjie Ding, Peiru Li, Shanshan Li +1

With its unique advantages such as decentralization and immutability, blockchain technology has been widely used in various fields in recent years. The smart contract running on th…

cs.SE2021

Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text

Kexin Sun, Hui Gao, Hongyu Kuang +4

Sentiment analysis on software engineering (SE) texts has been widely used in the SE research, such as evaluating app reviews or analyzing developers sentiments in commit messages.…

cs.SE202015 cited

Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?

Simin Wang, Liguo Huang, Jidong Ge +5

Since 2009, the deep learning revolution, which was triggered by the introduction of ImageNet, has stimulated the synergy between Machine Learning (ML)/Deep Learning (DL) and Softw…