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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 6
1822-1829

Crowdsourcing worker selection model for software crowdsourcing

Jia Junyu1,2a,2b
Yang Lanxin2a,2b
Zhang Xiaodong3
Xu Jinwei2a,2b
Zhang Juzheng2a,2b
Zhang He2a,2b
1. School of Computer and Information, Anhui Normal University, Wuhu Anhui 241002, China
2. a. Software Institute, b. State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing 210093, China
3. Technology Dept. , PEOPLE'S DAILY, Beijing 100733, China
DOI: 10.19734/j.issn.1001-3695.2024.10.0423

Abstract

In software crowdsourcing, selecting unsuitable workers often leads to task failure and reduced satisfaction among task publishers. To address these issues, this study proposed a software crowdsourcing worker selection model that integrated worker capability and worker-task matching. The model consisted of a capability assessment model based on linear programming and TOPSIS, and a worker-task matching model based on matching function learning. Experiments were conducted on a real-world crowdsourcing dataset comprising 9 450 tasks, 8 747 workers, and 98 940 bidding records. The results demonstrate that the proposed model significantly improves task publisher satisfaction and outperforms baseline models in metrics such as top-k Acc and MRR. This study highlights the effectiveness of integrating capability and matchability for worker selection and provides a novel approach to enhancing task allocation mechanisms in software crowdsourcing platforms.

Foundation Support

国家自然科学基金资助项目(62072227,62202219,62302210)
江苏省重点研发计划资助项目(BE2021002-2)
江苏省自然科学基金资助项目(BK20241195)
南京大学计算机软件新技术国家重点实验室创新项目(ZZKT2024A18,ZZKT2024B07)
海外开放课题(KFKT2023A09,KFKT2023A10,KFKT2024A02,KFKT2024A13,KFKT2024A14)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0423
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 6
Section: System Development & Application
Pages: 1822-1829
Serial Number: 1001-3695(2025)06-030-1822-08

Publish History

[2025-06-05] Printed Article

Cite This Article

贾俊宇, 杨岚心, 张晓东, 等. 一种面向软件众包的众包工人选择模型 [J]. 计算机应用研究, 2025, 42 (6): 1822-1829. (Jia Junyu, Yang Lanxin, Zhang Xiaodong, et al. Crowdsourcing worker selection model for software crowdsourcing [J]. Application Research of Computers, 2025, 42 (6): 1822-1829. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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