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Predictive models in software engineering: Challenges and opportunities
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 …
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
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 …
individuals in an open call for the purpose of utilizing human intelligence. Crowdsourcing …
Networking smartphones for disaster recovery
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 …
disaster recovery. By bridging the gaps among different kinds of wireless networks, we have …
Context-aware personalized crowdtesting task recommendation
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 …
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
Crowdsourcing is emerging as an alternative outsourcing strategy which is gaining
increasing attention in the software engineering community. However, crowdsourcing …
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 …
unique characteristics, ie, large task flow, high task complexity, long development cycle …
Context-and fairness-aware in-process crowdworker recommendation
Identifying and optimizing open participation is essential to the success of open software
development. Existing studies highlighted the importance of worker recommendation for …
development. Existing studies highlighted the importance of worker recommendation for …
Characterizing crowds to better optimize worker recommendation in crowdsourced testing
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 …
crowd workers. Typically, a crowdsourced test task aims to detect as many bugs as possible …
Context-aware in-process crowdworker recommendation
Identifying and optimizing open participation is essential to the success of open software
development. Existing studies highlighted the importance of worker recommendation for …
development. Existing studies highlighted the importance of worker recommendation for …
Leveraging crowdsourcing for team elasticity: an empirical evaluation at topcoder
There is an emergent trend in software development projects that mini-tasks can be
crowdsourced to achieve rapid development and delivery. For software managers …
crowdsourced to achieve rapid development and delivery. For software managers …