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1. CrowdSoft@SIGSOFT FSE 2014: Hong Kong, China

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Huaimin Wang, Bing Xie, Gang Yin, Minghui Zhou:
Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies, CrowdSoft 2014, Hong Kong, China, November 17, 2014. ACM 2014, ISBN 978-1-4503-3224-8

Software Crowdsourcing

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Huihong He, Zhiyi Ma, Hongjie Chen, Weizhong Shao:
How the crowd impacts commercial applications: a user-oriented approach. 1-6
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Letícia Machado, Graziela Pereira, Rafael Prikladnicki, Erran Carmel, Cleidson R. B. de Souza:
Crowdsourcing in the Brazilian IT industry: what we know and what we don't know. 7-12
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Lisha Guo, Hailong Sun, Xudong Liu:
Using clustering and transitivity to reduce the costs of crowdsourced entity resolution. 13-18
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Minzhi Yan, Hailong Sun, Xudong Liu:
iTest: testing software with mobile crowdsourcing. 19-24

Crowd-Based Software Development in GitHub

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Lingxiao Zhang, Yanzhen Zou, Bing Xie, Zixiao Zhu:
Recommending relevant projects via user behaviour: an exploratory study on github. 25-30
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Yue Yu, Gang Yin, Huaimin Wang, Tao Wang:
Exploring the patterns of social behavior in GitHub. 31-36
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Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang:
Investigating social media in GitHub's pull-requests: a case study on Ruby on Rails. 37-41

Crowd-Based Development for Web Services and Mobile Apps

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Yeqing Ke, Zhirou Ma, Haijiang Wu, Jie Liu, Hua Zhong, Jun Wei:
SmartHR: a resume query and management system based on semantic web. 42-48
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Cheng Yang, Tao Wang, Gang Yin, Huaimin Wang, Ming Wu, Ming Xiao:
Personalized mobile application discovery. 49-54
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Yan Hu, Qimin Peng, Xiaohui Hu:
A novel multilayered context awareness technology for internetware evolution. 55-60
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Mingkun Yang, Qimin Peng, Xiaohui Hu:
Estimating the dynamic performance of composed services: a probability theory based approach. 61-66

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