activity
20162024
most citedCrowdtesting : When is The Party Over?

26 citations · 35 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SE2024★ 1 cited

A Systematic Mapping Study on Architectural Approaches to Software Performance Analysis

Yutong Zhao, Lu Xiao, Chenhao Wei +2

Software architecture is the foundation of a system's ability to achieve various quality attributes, including software performance. However, there lacks comprehensive and in-depth…

cs.SE2022★ 3 cited

Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization

Lin Shi, Fangwen Mu, Xiao Chen +6

Code summarization, the task of generating useful comments given the code, has long been of interest. Most of the existing code summarization models are trained and validated on wi…

cs.SE2022★ 1 cited

BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats

Lin Shi, Fangwen Mu, Yumin Zhang +6

In community-based software development, developers frequently rely on live-chatting to discuss emergent bugs/errors they encounter in daily development tasks. However, it remains…

cs.SE2022★ 1 cited

Identifying Emergent Leadership in OSS Projects Based on Communication Styles

Yuekai Huang, Ye Yang, Junjie Wang +2

In open source software (OSS) communities, existing leadership indicators are dominantly measured by code contribution or community influence. Recent studies on emergent leadership…

cs.SE2021

ISPY: Automatic Issue-Solution Pair Extraction from Community Live Chats

Lin Shi, Ziyou Jiang, Ye Yang +5

Collaborative live chats are gaining popularity as a development communication tool. In community live chatting, developers are likely to post issues they encountered (e.g., setup…

cs.SE2021

A First Look at Developers' Live Chat on Gitter

Lin Shi, Xiao Chen, Ye Yang +4

Modern communication platforms such as Gitter and Slack play an increasingly critical role in supporting software teamwork, especially in open source development.Conversations on s…

cs.SE2018★ 26 cited

Crowdtesting : When is The Party Over?

Junjie Wang, Ye Yang, Zhe Yu +2

Trade-offs such as "how much testing is enough" are critical yet challenging project decisions in software engineering. Most existing approaches adopt risk-driven or value-based an…

cs.SE2018★ 2 cited

Effective Automated Decision Support for Managing Crowdtesting

Junjie Wang, Ye Yang, Rahul Krishna +2

Crowdtesting has grown to be an effective alter-native to traditional testing, especially in mobile apps. However,crowdtesting is hard to manage in nature. Given the complexity of…

cs.DL2016★ 1 cited

Towards Evidence-Based Ontology for Supporting Systematic Literature Review

Yueming Sun, Ye Yang, He Zhang +2

[Background]: Systematic Literature Review (SLR) has become an important software engineering research method but costs tremendous efforts. [Aim]: This paper proposes an approach t…