ACM-IEEE International Conference on Formal Methods and Models for System Design, Kanpur, Indien

Abbrevation

MEMOCODE

Link

http://memocode.irisa.fr/2016/index.html

City

Kanpur

Country

India

Deadline Paper

2016-07-29

Start Date

2016-11-18

End Date

2016-11-20

Abstract

Over the last decade, the boundaries between computer system components, such as hardware, software, firmware, middleware, and applications, have blurred. This evolution in system design and development practices led in 2014 to a change in the title and scope of the MEMOCODE conference from its original focus on hardware/software co–design to its new focus on formal methods and models for developing computer systems and their components. MEMOCODE′s objective is to emphasize the importance of models and methodologies in correct system design and development, and to bring together researchers and industry practitioners interested in all aspects of computer system development, to exchange ideas, research results and lessons learned. TOPICS OF INTEREST MEMOCODE 2016 seeks research contributions on all aspects of methods and models for system, hardware, and software design and development: formal foundations, engineering methods, tools, and experimental case studies. Research areas of interest include but are not limited to the following: * Modeling Languages, Methods and Tools: Programming languages and models; software and system modeling languages; architecture and high–level hardware description languages; timing models; model and program synthesis methods; model transformation methods * Formal Methods and Tools: Correct–by–construction methods; static, dynamic, and type theoretic analysis; verification; validation; test generation; platform–based design; refinement–based, component–based, and compositional approaches to design and verification * Models and Methods for Developing Critical Systems: Fault–tolerant systems; security–critical and safety–critical systems; cyber–physical systems; autonomous and unmanned systems; assurance cases * Quantitative/Qualitative Reasoning: Power/performance/cost/latency trade–off methods; power models; reasoning techniques, data mining, and other analytical methods for predicting power/performance; system models for quantitative design space exploration * Formal Methods/Models in Practice: Design case studies; empirical case studies