Technologies for GQM-based metrics recommender systems: a systematic literature review

M Farina, A Gorb, A Kruglov, G Succi - IEEE Access, 2022 - ieeexplore.ieee.org
Purpose: With this Systematic Literature Review (SLR), we aim to discover technologies to
construct a Goal-Question-Metrics (GQM) based metrics recommender for software …

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 …

群智协同任务分配研究综述.

陈宝童, 王丽清, 蒋晓敏… - Journal of Computer …, 2021 - search.ebscohost.com
任务分配是群智协同计算和众包中的核心问题之一, 即通过设计合理的任务分配策略,
在满足任务约束条件下, 将群智任务分配给合适的工作者, 以提高群智任务的完成效率和结果 …

Optimizing crowdship** effectiveness in B2C deliveries: a multi-criteria approach for crowd selection

S Belil, A Jghamou, S Kouki - Supply Chain Forum: An International …, 2024 - Taylor & Francis
This study addresses the growing need for efficient last-mile delivery solutions through
crowdship**, a key element of the sharing economy. The aim of this re-search is to …

Task recommendation method for fusion of multi-view social relationship learning and reasoning in the mobile crowd sensing system

J Wang, Z Zhang, G Zhao - Computer Communications, 2023 - Elsevier
With the powerful sensing ability of mobile smart devices, sensing users can obtain crowd
sensing services for intelligent devices in the Internet of Things. However, due to the low …

An efficient decision support system for the selection of appropriate crowd in crowdsourcing

Y Huang, S Nazir, J Wu, F Hussain Khoso, F Ali… - …, 2021 - Wiley Online Library
Crowdsourcing is a complex task‐solving model that utilizes humans for solving
organizational specific problems. For assigning a crowdsourced task to an online crowd …

A Systematic Literature Review on Task Recommendation Systems for Crowdsourced Software Engineering

S Nirmani, M Shahin, H Khalajzadeh, X Liu - arxiv preprint arxiv …, 2024 - arxiv.org
Context: Crowdsourced Software Engineering CSE offers outsourcing work to software
practitioners by leveraging a global online workforce. However these software practitioners …

Multicriteria‐Based Crowd Selection Using Ant Colony Optimization

G Wang, F Ali, J Yang, S Nazir, T Yang, A Khan… - …, 2021 - Wiley Online Library
Internet‐enabled technologies have provided a way for people to communicate and
collaborate with each other. The collaboration and communication made crowdsourcing an …

MIG: Addressing the Cold-Start Problem in Task Recommendations Through Enhanced Meta Embeddings

Z Wang, Y Ma - … International Conference on Systems, Man, and …, 2024 - ieeexplore.ieee.org
With the rapid expansion of freelance workers and tasks, online labor market platforms face
a significant challenge with the cold-start problem, which makes it very difficult to effectively …

From zero to the hero: a collaborative market aware recommendation system for crowd workers

H Shamszare, R Saremi, S Jena - arxiv preprint arxiv:2107.02890, 2021 - arxiv.org
The success of software crowdsourcing depends on active and trustworthy pool of worker
supply. The uncertainty of crowd workers' behaviors makes it challenging to predict workers' …