Large-scale software ecosystems, such as cloud-based global online service systems and metropolitan-wide cyber-physical systems, exhibit unprecedented complexity, variability, and uncertainty. To tackle the challenges that arise from the practices of engineering these social-technical systems, we need new software models and development methodologies to build and maintain sustainable and active software ecosystems. Recently, crowdsourcing has shown to be a viable and promising approach to enable bootstrapping and orchestration of software ecosystems at social scales. Through software crowdsourcing, software companies can seek funding support, market products to a wider range of customers, leverage the collective intelligence of developer communities to deliver high quality and innovative software products with lower cost.

This symposium will bring together researchers working in the fields of software engineering, open source software, social networking, crowdsourcing, organization and economic science, and cloud computing to discuss the fundamental principles, software architecture and models, and development process of the methodology. The primary objective of the symposium is to share research ideas and good practices in the emerging industry of software crowdsourcing. Topics of interest include, but are not limited to:


Software Crowdsourcing Process and Methodology
Worker behavior, ranking, evaluation, collaboration
Incentive scheme, game theory, competition models, stochastic models
System support for crowdsourcing
Quality Evaluation and Assurance for Software Crowdsourcing
Business cases, economics, strategies and governance for software ecosystems
Software ecosystem modeling
Software ecosystem practices and experience
Sustainability and Evolution of Software ecosystem
Market-specific domain engineering
Open source software ecosystems
Virtualized software enterprises
Industrial presentation on software crowdsourcing
Enterprise Crowdsourcing and Innovation
Education Crowdsourcing and MOOCs
eScience Crowdsourcing : citizen science and volunteer computing
Crowdsourcing platforms (system, architecture, machine learning, education)