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1st International Workshop on Crowd-based Software Development Methods and Technologies (CrowdSoft), November 17, 2014, Hong Kong, China

CrowdSoft 2014 – Proceedings

Contents - Abstracts - Authors

1st International Workshop on Crowd-based Software Development Methods and Technologies (CrowdSoft)

Frontmatter

Title Page
Foreword

Software Crowdsourcing

How the Crowd Impacts Commercial Applications: A User-Oriented Approach
Huihong He, ZhiYi Ma, Hongjie Chen, and Weizhong Shao
(Peking University, China)
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Crowdsourcing in the Brazilian IT Industry: What We Know and What We Don’t Know
Leticia Machado, Graziela Pereira, Rafael Prikladnicki, Erran Carmel, and Cleidson R. B. de Souza
(PUCRS, Brazil; American University, USA; Federal University of Pernambuco, Brazil)
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Using Clustering and Transitivity to Reduce the Costs of Crowdsourced Entity Resolution
Lisha Guo, Hailong Sun, and Xudong Liu
(Beihang University, China)
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iTest: Testing Software with Mobile Crowdsourcing
Minzhi Yan, Hailong Sun, and Xudong Liu
(Beihang University, China)
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Crowd-Based Software Development in GitHub

Recommending Relevant Projects via User Behaviour: An Exploratory Study on Github
Lingxiao Zhang, Yanzhen Zou, Bing Xie, and Zixiao Zhu
(Peking University, China)
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Exploring the Patterns of Social Behavior in GitHub
Yue Yu, Gang Yin, Huaimin Wang, and Tao Wang
(National University of Defense Technology, China)
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Investigating Social Media in GitHub’s Pull-Requests: A Case Study on Ruby on Rails
Yang Zhang, Gang Yin, Yue Yu, and Huaimin Wang
(National University of Defense Technology, China)
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Crowd-Based Development for Web Services and Mobile Apps

SmartHR: A Resume Query and Management System Based on Semantic Web
Yeqing Ke, Zhirou Ma, Haijiang Wu, Jie Liu, Hua Zhong, and Jun Wei
(Institute of Software at Chinese Academy of Sciences, China)
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Personalized Mobile Application Discovery
Cheng Yang, Tao Wang, Gang Yin, Huaimin Wang, Ming Wu, and Ming Xiao
(National University of Defense Technology, China)
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A Novel Multilayered Context Awareness Technology for Internetware Evolution
Yan Hu, Qimin Peng, and Xiaohui Hu
(Institute of Software at Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China)
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Estimating the Dynamic Performance of Composed Services: A Probability Theory Based Approach
Mingkun Yang, Qimin Peng, and Xiaohui Hu
(Institute of Software at Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China)
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