Development of resilient systems -- Incremental development processes for resilient systems -- Requirements engineering and re-engineering for resilience -- Frameworks, patterns and software architectures for resilience.-Engineering of self-healing autonomic systems -- Design of trustworthy and intrusion-safe systems -- Resilience at run-time (mechanisms, reasoning and adaptation) -- Resilience and dependability (resilience vs. robustness, dependable vs. adaptive systems) -- Verification, validation and evaluation of resilience -- Modeling and model based analysis of resilience properties -- Formal and semi-formal techniques for verification and validation -- Experimental evaluations of resilient systems -- Quantitative approaches to ensuring resilience -- Resilience prediction -- Cast studies and applications.-Empirical studies in the domain of resilient systems -- Methodologies adopted in industrial contexts -- Cloud computing and resilient service provisioning.-Resilience for data-driven systems (e.g., big data-based adaption and resilience) -- Resilient cyber-physical systems and infrastructures -- Global aspects of resilience engineering: education, training and cooperation.

This book constitutes the refereed proceedings of the 8th International Workshop on Software Engineering for Resilient Systems, SERENE 2016, held in Gothenburg, Sweden, in September 2016.The 10 papers presented were carefully reviewed and selected from 15 submissions. They cover the following areas: development of resilient systems; incremental development processes for resilient systems; requirements engineering and re-engineering for resilience; frameworks, patterns and software architectures for resilience; engineering of self-healing autonomic systems; design of trustworthy and intrusion-safe systems; resilience at run-time (mechanisms, reasoning and adaptation); resilience and dependability (resilience vs. robustness, dependable vs. adaptive systems); verification, validation and evaluation of resilience; modeling and model based analysis of resilience properties; formal and semi-formal techniques for verification and validation; experimental evaluations of resilient systems; quantitative approaches to ensuring resilience; resilience prediction; cast studies and applications; empirical studies in the domain of resilient systems; methodologies adopted in industrial contexts; cloud computing and resilient service provisioning; resilience for data-driven systems (e.g., big data-based adaption and resilience); resilient cyber-physical systems and infrastructures; global aspects of resilience engineering: education, training and cooperation.