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A Division Strategy for Achieving Efficient Crowdsourcing Contest
https://ipsj.ixsq.nii.ac.jp/records/100822
https://ipsj.ixsq.nii.ac.jp/records/1008226121e4e6-1e3d-445c-b55e-2deaaf9d501d
| 名前 / ファイル | ライセンス | アクション |
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IPSJ-JNL5504005 (1.1 MB)
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Copyright (c) 2014 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||
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| 公開日 | 2014-04-15 | |||||||||
| タイトル | ||||||||||
| タイトル | A Division Strategy for Achieving Efficient Crowdsourcing Contest | |||||||||
| タイトル | ||||||||||
| 言語 | en | |||||||||
| タイトル | A Division Strategy for Achieving Efficient Crowdsourcing Contest | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | [特集：Multiagent-based Societal Systems] incentive design, efficient crowdsourcing, division strategy, software bug detection, all-pay auction | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| 著者所属 | ||||||||||
| Department of Social Informatics, Kyoto University | ||||||||||
| 著者所属 | ||||||||||
| Department of Social Informatics, Kyoto University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Department of Social Informatics, Kyoto University | ||||||||||
| 著者所属(英) | ||||||||||
| en | ||||||||||
| Department of Social Informatics, Kyoto University | ||||||||||
| 著者名 |
Huan, Jiang
× Huan, Jiang
× Shigeo, Matsubara
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| 著者名(英) |
Huan, Jiang
× Huan, Jiang
× Shigeo, Matsubara
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | In this paper we construct and analyze a crowdsourcing-based bug detection model in which strategic players select code and compete in bug detection contests. We model the contests as all-pay auctions, and our focus is on addressing the low efficiency problem in bug detection by division strategy. Our study shows that the division strategy can control two features of the bug detection contest, in terms of the expected reward classes and the scales of skill levels, by intentionally assembling players with particular skill distribution in one division. In this way, division strategy is able to determine the players' strategic behaviors on code selection, and thus improve the bug detection efficiency. We analyze the division strategy characterized by skill mixing degree and skill similarity degree and find an explicit correspondence between the division strategy and the bug detection efficiency. Based on our simulation results, we verified that the skill mixing degree, serving as determinant factor of division strategy, controls the trend of the bug detection efficiency, and skill similarity degree plays an important role in indicating the shape of the bug detection efficiency. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online) DOI http://dx.doi.org/10.2197/ipsjjip.22.202 ------------------------------ |
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| 論文抄録(英) | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | In this paper we construct and analyze a crowdsourcing-based bug detection model in which strategic players select code and compete in bug detection contests. We model the contests as all-pay auctions, and our focus is on addressing the low efficiency problem in bug detection by division strategy. Our study shows that the division strategy can control two features of the bug detection contest, in terms of the expected reward classes and the scales of skill levels, by intentionally assembling players with particular skill distribution in one division. In this way, division strategy is able to determine the players' strategic behaviors on code selection, and thus improve the bug detection efficiency. We analyze the division strategy characterized by skill mixing degree and skill similarity degree and find an explicit correspondence between the division strategy and the bug detection efficiency. Based on our simulation results, we verified that the skill mixing degree, serving as determinant factor of division strategy, controls the trend of the bug detection efficiency, and skill similarity degree plays an important role in indicating the shape of the bug detection efficiency. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online) DOI http://dx.doi.org/10.2197/ipsjjip.22.202 ------------------------------ |
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| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00116647 | |||||||||
| 書誌情報 |
情報処理学会論文誌 巻 55, 号 4, 発行日 2014-04-15 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 1882-7764 | |||||||||
