Goal of the Workshop: With the advent of new computing paradigms, communication and control technologies, software systems are required to be more and more autonomic, collaborative, self-adaptive and evolutionary. The sustainability of software product and the quality of delivered services imposes greater impact to the various perspectives of people’s economic activities, scientific research and social life. In particular, when software services and systems are operating in an open and volatile environment, such as the Internet. In order to make software work as expected in a dynamic environment with constantly changing user requirements, the software must be aware of the changes, and be adaptive according to the external input and the feedback of the application system.

Theme of the Workshop:
This workshop, the 11th International Workshop on Software Cybernetics, will be held in conjunction with the annual international Computer Software and Applications Conference (COMPSAC) again, and will focus on the theme of “Controlling Software Systems in the Big Data and Cloud Era” and the principles underlying their engineering methodologies and techniques. It provides an international forum for researchers and practitioners to exchange new research results, identify future research problems, and report the current best practices in the industry.

Scope of the Workshop:
Tentative list of topics of emphasis will include, but not limited to, the following:

• Modelling of cyber-physical systems
• Modelling of mission critical applications
• Formalization of control mechanisms in SE
• Adaptation of control theory principles to SE
• Integration of software, networking and control
• Situation-aware, self-adaptive software
• Decision-making in SE
• Control in fault-tolerant computing and security
• Adaptive testing and test case generation
• Control of adaptive software rejuvenation
• Relationship between simulation and controllability
• Adaptive system design and architecture
• Modeling of evolving and dynamic environments
• Services modeling, testing and evaluation
• Practice and experience of SaaCS
• Machine learning for SE
• Case studies on software cybernetics