HASE: High-Assurance Systems Engineering



Past:   Proceedings on DBLP

Future:  Post a CFP for 2020 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
hase 2019 High-Assurance Systems Engineering
Jan 3, 2019 - Jan 5, 2019 HangZhou,China Sep 9, 2018
HASE 2017 The 18th IEEE International Symposium on High Assurance Systems Engineering
Jan 12, 2017 - Jan 14, 2017 Singapore Sep 12, 2016
HASE 2016 The 17th IEEE International Symposium on High Assurance Systems Engineering
Jan 7, 2016 - Jan 9, 2016 Orlando, FL Sep 15, 2015
HASE 2015 16th IEEE International Symposium on High Assurance Systems Engineering
Jan 8, 2015 - Jan 10, 2015 Daytona Beach, Florida, USA Sep 15, 2014
HASE 2014 15th IEEE International Symposium on High Assurance Systems Engineering
Jan 9, 2014 - Jan 11, 2014 Miami, Florida, USA Aug 14, 2013
HASE 2012 IEEE 14th International Symposium on High-Assurance Systems Engineering
Oct 25, 2012 - Oct 27, 2012 Omaha, USA Jul 15, 2012
HASE 2011 High Assurance Systems Engineering
Nov 10, 2011 - Nov 12, 2011 Boca Raton, FL, USA Jul 5, 2011
HASE 2010 The 12th IEEE International High Assurance Systems Engineering Symposium
Nov 1, 2010 - Nov 4, 2010 San Jose, CA, USA Jul 12, 2010 (Jul 5, 2010)
HASE 2008 IEEE 11th International Symposium on High-Assurance Systems Engineering
Dec 3, 2008 - Dec 5, 2008 Nanjing, China Jun 30, 2008

Present CFP : 2019

A huge wealth of data exists in various system design, development, integration and evolution lifecycle including requirements, architecture design models and specifications, risk/issue reports, traceability/dependency matrices, user feedback, forum discussions, and so on. Data plays an essential role in modern system development and system-of-systems (SoS) integration, because insights about the quality of systems and SoSs as well as the dynamics of system design and development are usually hidden in tremendous volumes of data generated daily in the system lifecycle.

Due to the increasing complexity and scale of systems and SoS, it is of paramount importance to elicit and understand data relationships in multi-disciplinary engineering contexts to troubleshoot issues, and drive the decision-making process to assure system quality (reliability, availability, dependability, maintainability, security, privacy, safety, traceability, trustability, performance, etc.). System development lifecycle collaborations help link data and engineering tools to continuously engineer a system and SoS of high assurance.

HASE 2019 will focus on addressing the challenges and proposing methods, techniques, best practices, and tools to support data elicitation, visualization, sharing, and integration across engineering disciplines in effective and efficient data analytics for high assurance systems engineering including but not limited to cyber-physical systems, cloud systems and Internet of Things, software-intensive systems, embedded and mobile systems, distributed and parallel systems, autonomous systems, healthcare systems, and so on.

Venue: HASE 2019 will be held in Hangzhou, the capital and most populous city of Zhejiang province in China. Hangzhou sits at the head of Hangzhou Bay, which separates Shanghai and Ningbo. It is the southern terminus of the ancient Grand Canal waterway, which originates in Beijing. Its West Lake, celebrated by poets and artists since the 9th century, is a UNESCO World Heritage Site, encompassing islands (reachable by boat), temples, pavilions, gardens and arched bridges. On its south bank is 5-story Leifeng Pagoda, a modern reconstruction of a structure built in 975 A.D. With the world-renowned historical sites, Hangzhou is also an emerging technology hub and home to the e-commerce giant Alibaba, also hosted the eleventh G-20 summit in 2016.

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