[HTML][HTML] An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review

NK Nagwani, JS Suri - … Journal of Information Management Data Insights, 2023 - Elsevier
The timely release of defect-free software and the optimization of development costs depend
on efficient software bug triaging (SBT) techniques. SBT can also help in managing the vast …

A survey of the use of crowdsourcing in software engineering

K Mao, L Capra, M Harman, Y Jia - Journal of Systems and Software, 2017 - Elsevier
The term 'crowdsourcing'was initially introduced in 2006 to describe an emerging distributed
problem-solving model by online workers. Since then it has been widely studied and …

Beyond micro-tasks: research opportunities in observational crowdsourcing

R Lukyanenko, J Parsons - … : Concepts, methodologies, tools, and …, 2019 - igi-global.com
The emergence of crowdsourcing as an important mode of information production has
attracted increasing research attention. In this article, the authors review crowdsourcing …

Swarm intelligence research: From bio-inspired single-population swarm intelligence to human-machine hybrid swarm intelligence

GY Wang, DD Cheng, DY **a, HH Jiang - Machine Intelligence Research, 2023 - Springer
Swarm intelligence has become a hot research field of artificial intelligence. Considering the
importance of swarm intelligence for the future development of artificial intelligence, we …

Towards personalized task-oriented worker recruitment in mobile crowdsensing

Z Wang, J Zhao, J Hu, T Zhu, Q Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Worker recruitment in mobile crowdsensing systems aims to recruit the most suitable users
to perform tasks with high quality and in real-time. Many worker recruitment or task matching …

Identifying experts in software libraries and frameworks among GitHub users

JE Montandon, LL Silva… - 2019 IEEE/ACM 16th …, 2019 - ieeexplore.ieee.org
Software development increasingly depends on libraries and frameworks to increase
productivity and reduce time-to-market. Despite this fact, we still lack techniques to assess …

Crowd intelligence enhances automated mobile testing

K Mao, M Harman, Y Jia - 2017 32nd IEEE/ACM International …, 2017 - ieeexplore.ieee.org
We show that information extracted from crowd-based testing can enhance automated
mobile testing. We introduce Polariz, which generates replicable test scripts from crowd …

The good, the bad, and the unhirable: Recommending job applicants in online labor markets

M Kokkodis, PG Ipeirotis - Management Science, 2023 - pubsonline.informs.org
Choosing job applicants to hire in online labor markets is hard. To identify the best applicant
at hand, employers need to assess a heterogeneous population. Recommender systems …

Who should take this task? Dynamic decision support for crowd workers

Y Yang, MR Karim, R Saremi, G Ruhe - Proceedings of the 10th ACM …, 2016 - dl.acm.org
Context: The success of crowdsourced software development (CSD) depends on a large
crowd of trustworthy software workers who are registering and submitting for their interested …

Local-based active classification of test report to assist crowdsourced testing

J Wang, S Wang, Q Cui, Q Wang - Proceedings of the 31st IEEE/ACM …, 2016 - dl.acm.org
In crowdsourced testing, an important task is to identify the test reports that actually reveal
fault-true fault, from the large number of test reports submitted by crowd workers. Most …