Registration is now open! Deadline for registration is 21st of August.
Monday 28th August: 10.00 – 11.30 at C2-208
Monday 28th August: 12.30 – 16.00 at G1-063
Tuesday 29th August: 10 -16 at VIP Room behind the cantina
Workshop leaders
Professor Francis Bordeleau (ETS), Montreal and professor Øystein Haugen (HIOF)
Contact mail for the workshop: oystein.haugen@hiof.no
The Digital Society, defined by Gartner Analysts as "the collection of people, organizations and things that are engaged in persistent digital interactions”, impacts essentially all aspects of our everyday life. From a technology perspective, the digital transformation has a major impact on the systems that we are developing in all corners of society, including healthcare (e.g. telemedicine, wearable/implantable devices), transportation (e.g. smart mobility, autonomous vehicles), construction (e.g. smart building) and manufacturing (e.g. industry 4.0).
A key characteristic of this new generation of system is that software has replaced hardware as the main product differentiator. To succeed, traditional software development approaches are no longer adequate. Organizations now need to address a set of new challenges, from a technical as well as business and social perspectives, and adopt new approaches to increase their agility to adapt to constantly evolving environments to deliver solutions faster, with higher quality, and that are adaptable to user needs.
DevOps and Digital Twins (DT) have emerged over the last two decades as two key approaches for the development and evolution of digital systems. On one side, DevOps is the prominent approach to increase productivity and quality in the software industry. It advocates for continuous improvement using automation and monitoring at all stages of software development and operations, and aims for shorter development cycles, increased frequency of deployment, and more reliable releases. Its adoption by industry leaders (e.g. Amazon, Facebook, Google, and Netflix) has resulted in spectacular progress.
On the other side, DT is considered a main technology to monitor and optimize systems in the digital society. A DT is a digital representation of a real-world system that can be used to systematically monitor, analyze (e.g. by applying machine-learning and AI), simulate, control, and improve the real-world system. Both approaches aim at leveraging data and automation to improve different aspect of systems and processes systematically and continuously. However, their industrial adoption represents a main challenge for many (most) organizations.
In this two-day workshop, we will focus on the fundamentals of DevOps and DT and on key aspects that must be considered to succeed with the adoption of these approaches in an industrial context. The list of topics that will be covered include:
- DevOps
- Why do we need DevOps?
- The foundations of DevOps — based on the Three Ways of DevOps, as defined by Kim et al. in "The DevOps Handbook”
- DevOps transformation and systematic evolution
- Main challenges and issues that need to be addressed in the continuous improvement of industrial DevOps processes
- DevOps in the context of IoT and distributed and heterogeneous systems
- DT
- Why do we need DT?
- The foundations of DT
- Systematic development and evolution of DT systems
- Main challenges and issues that need to be addressed in the continuous improvement of DT
- How can DevOps and DT be combined?
- A DT approach to monitor and improve DevOps processes
- Use a DevOps approach for the development and evolution of DTs
- Format of the workshop
- Presentation of the main concepts/topics (No technical competence requirements!)
- Analysis of industrial case studies
- Discussion on open issues and research challenges
- Experience sharing
- Expected audience
- Industrial system developers, architects, and managers
- Researchers associated with The Digital Society focus area
- PhD students and Master students
Short bios:
Professor Francis Bordeleau is at Ecole de technologie superieure (ETS) in Montreal and leads the Kaloom-TELUS ETS Industrial Research Chair in DevOps. His current research focuses on the systematic improvement of industrial DevOps processes. He is also conducting research on the development of digital twins for different application domains. He has over 25 years of experience researching, working, consulting, and collaborating with companies worldwide in software engineering, software process improvement, and Model-Based Engineering (MBE). Prior to joining ETS, he was Product Manager of Software Development at Ericsson (2013-2017), founder and CEO of Zeligsoft (2003-2013), and assistant professor at Carleton University (1997-2006). Francis has been part of the organizing and program committee of many international conferences and workshops.
Professor Øystein Haugen is the lead of the research group for Cyber-physical systems at the Institute for Computer Science and Communication at Østfold University College (HIOF). His Master course is on IoT and Digital Twins. His research has focused on the design and use of modeling languages such as UML and SysML. He has been involved in standardization of modeling languages since 1989. He joined HIOF in 2015 and has been involved in the large European Industry 4.0 projects Productive4.0 and Arrowhead Tools. Before HIOF he worked at SINTEF in Oslo (2007-2015), at University of Oslo (2004-2007), Ericsson Research department (1997-2003), Self-employed while doing his doctorate (1991-1997), ABB Technology (1988-1991), co-founder of startup SimTech (1984-1988), Norwegian Computing Center (1981-1984). Professor Haugen was General Chair of the MODELS conference in 2010, and Program Chair of Practice Track at MODELS 2018.