11 citations · 22 across the 7 of their papers we have counts for
7 papers
Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities
Jiaxin Yu, Liming Fu, Peng Liang +2
Background: Despite the widespread use of automated security defect detection tools, software projects still contain many security defects that could result in serious damage. Such…
Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and Qt Communities and A Practitioner Survey
Beiqi Zhang, Liming Fu, Peng Liang +2
Code review is widely known as one of the best practices for software quality assurance in software development. In a typical code review process, reviewers check the code committe…
Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities
Liming Fu, Peng Liang, Zeeshan Rasheed +3
Technical Debt (TD) refers to the situation where developers make trade-offs to achieve short-term goals at the expense of long-term code quality, which can have a negative impact…
Understanding Code Snippets in Code Reviews: A Preliminary Study of the OpenStack Community
Liming Fu, Peng Liang, Beiqi Zhang
Code review is a mature practice for software quality assurance in software development with which reviewers check the code that has been committed by developers, and verify the qu…
Using 5G in Smart Cities: A Systematic Mapping Study
Chen Yang, Peng Liang, Liming Fu +4
5G is the fifth generation wireless network, with a set of characteristics, e.g., high bandwidth and data rates. The scenarios of using 5G include enhanced Mobile Broadband (eMBB),…
A Machine Learning Based Ensemble Method for Automatic Multiclass Classification of Decisions
Liming Fu, Peng Liang, Xueying Li +1
Stakeholders make various types of decisions with respect to requirements, design, management, and so on during the software development life cycle. Nevertheless, these decisions a…
Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study
Chen Yang, Peng Liang, Liming Fu +1
Deep learning (DL) frameworks have been extensively designed, implemented, and used in software projects across many domains. However, due to the lack of knowledge or information,…