Abstract is missing.
- How the crowd impacts commercial applications: a user-oriented approachHuihong He, Zhiyi Ma, Hongjie Chen, Weizhong Shao. 1-6 [doi]
- Crowdsourcing in the Brazilian IT industry: what we know and what we don't knowLeticia Machado, Graziela Pereira, Rafael Prikladnicki, Erran Carmel, Cleidson R. B. de Souza. 7-12 [doi]
- Using clustering and transitivity to reduce the costs of crowdsourced entity resolutionLisha Guo, Hailong Sun, Xudong Liu. 13-18 [doi]
- iTest: testing software with mobile crowdsourcingMinzhi Yan, Hailong Sun, Xudong Liu. 19-24 [doi]
- Recommending relevant projects via user behaviour: an exploratory study on githubLingxiao Zhang, Yanzhen Zou, Bing Xie, Zixiao Zhu. 25-30 [doi]
- Exploring the patterns of social behavior in GitHubYue Yu, Gang Yin, Huaimin Wang, Tao Wang. 31-36 [doi]
- Investigating social media in GitHub's pull-requests: a case study on Ruby on RailsYang Zhang, Gang Yin, Yue Yu, Huaimin Wang. 37-41 [doi]
- SmartHR: a resume query and management system based on semantic webYeqing Ke, Zhirou Ma, Haijiang Wu, Jie Liu, Hua Zhong, Jun Wei. 42-48 [doi]
- Personalized mobile application discoveryCheng Yang, Tao Wang, Gang Yin, Huaimin Wang, Ming Wu, Ming Xiao. 49-54 [doi]
- A novel multilayered context awareness technology for internetware evolutionYan Hu, Qimin Peng, Xiaohui Hu. 55-60 [doi]
- Estimating the dynamic performance of composed services: a probability theory based approachMingkun Yang, Qimin Peng, Xiaohui Hu. 61-66 [doi]