Inspired and evolved from open source development and software outsourcing, Crowdsourcing is playing an increasingly important role in both software engineering practice and research, providing a viable strategy to complete a wide spectrum of software engineering activities in efficient and effective ways. Software practitioners can both contribute and learn from engaging with the processes and knowledge repositories of crowd production, while software engineering researchers are discovering new models, methods, and tools to facilitate more effective and efficient crowd production. Broader community and society are also benefiting from software crowdsourcing in rapid task coordination, parallel peer production, talent identification and utilization.
Crowdsourcing in software engineering centers around the core concept of peer software production, with many principles shared or evolved from open source software development (OSSD) and other forms of community-based development, e.g. community structure and task coordination mechanisms. However, its unique characteristics introduce many new challenges beyond traditional OSSD. For example, due to highly inter-dependent task natures in software development, it is a key challenge to find an appropriate decomposition that can be effectively crowdsourced. As a large number of software tasks are posted online daily, the scenery of crowdsourcing is changing continuously; without appropriate decision support, online developers often make decisions in ad hoc manners. Managers are also skeptical and concerned about the limited trust and control over unknown crowd workers.
CSI-SE will inform the software engineering community of current techniques and trends in crowdsourcing, discuss the applications of crowdsourcing to software engineering already occurring in practice, and examine new opportunities and challenges to innovate and scale crowdsourcing in solving software engineering problems.
Stevens Institute of Technology
Max. 8 pages. Describing in-depth studies, experience reports, or tools for crowdsourcing and/or open collaboration with evaluation.
Max. 4 pages. Describing early ideas with appropriate justification, preliminary tool support, or short studies highlighting interesting findings.
Max. 2 pages. This type of submissions is to encourage novel and visionary contributions that have not been developed in-depth.
Each paper will be reviewed by three members of the program committee. Accepted papers will appear in the ICSE Companion Volume proceedings and be presented at the workshop.
Papers and abstract should conform to the ICSE submission format and guidelines. Please submit the papers in PDF format on EasyChair. Papers submissions should be original and unpublished material describing innovative and mature research results, experience reports, case studies, challenges, problems and solutions, ongoing work, new ideas, new results and future trends. The accepted workshop papers, both full and short, and two page position papers will be published in the ICSE 2018 workshop proceedings in the ACM Digital Library. Authors of accepted papers and talks are required to register and present the paper at the workshop for the paper and or extended abstract to be included in the proceedings. The official publication date of the workshop proceedings is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of ICSE 2018. The official publication date affects the deadline for any patent filings related to published work.Submit