Predictive models in software engineering: Challenges and opportunities

Y Yang, X **a, D Lo, T Bi, J Grundy… - ACM Transactions on …, 2022 - dl.acm.org
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

Crowdsourcing usage, task assignment methods, and crowdsourcing platforms: a systematic literature review

Y Zhen, A Khan, S Nazir, Z Huiqi… - Journal of Software …, 2021 - Wiley Online Library
Crowdsourcing is simply the outsourcing of different tasks or work to a diverse group of
individuals in an open call for the purpose of utilizing human intelligence. Crowdsourcing …

Networking smartphones for disaster recovery

Z Lu, G Cao, T La Porta - 2016 IEEE International Conference …, 2016 - ieeexplore.ieee.org
In this paper, we investigate how to network smart-phones for providing communications in
disaster recovery. By bridging the gaps among different kinds of wireless networks, we have …

Context-aware personalized crowdtesting task recommendation

J Wang, Y Yang, S Wang, C Chen… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Crowdsourced software testing (short for crowdtesting) is a special type of crowdsourcing. It
requires that crowdworkers master appropriate skill-sets and commit significant effort for …

Competition-based crowdsourcing software development: a multi-method study from a customer perspective

KJ Stol, B Caglayan, B Fitzgerald - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Crowdsourcing is emerging as an alternative outsourcing strategy which is gaining
increasing attention in the software engineering community. However, crowdsourcing …

[PDF][PDF] Deep learning-based recommendation method for top-K tasks in software crowdsourcing systems.

Z Peng, D Wan, A Wang, X Lu… - Journal of Industrial & …, 2023 - scholar9.com
The task personalized recommendation problems in software crowdsourcing systems have
unique characteristics, ie, large task flow, high task complexity, long development cycle …

Context-and fairness-aware in-process crowdworker recommendation

J Wang, Y Yang, S Wang, J Hu, Q Wang - ACM Transactions on …, 2022 - dl.acm.org
Identifying and optimizing open participation is essential to the success of open software
development. Existing studies highlighted the importance of worker recommendation for …

Characterizing crowds to better optimize worker recommendation in crowdsourced testing

J Wang, S Wang, J Chen, T Menzies… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Crowdsourced testing is an emerging trend, in which test tasks are entrusted to the online
crowd workers. Typically, a crowdsourced test task aims to detect as many bugs as possible …

Context-aware in-process crowdworker recommendation

J Wang, Y Yang, S Wang, Y Hu, D Wang… - Proceedings of the ACM …, 2020 - dl.acm.org
Identifying and optimizing open participation is essential to the success of open software
development. Existing studies highlighted the importance of worker recommendation for …

Leveraging crowdsourcing for team elasticity: an empirical evaluation at topcoder

RL Saremi, Y Yang, G Ruhe… - 2017 IEEE/ACM 39th …, 2017 - ieeexplore.ieee.org
There is an emergent trend in software development projects that mini-tasks can be
crowdsourced to achieve rapid development and delivery. For software managers …