MegaMaRt2 - Megamodelling at Runtime (ECSEL/Vinnova)

Status:

active

Start date:

2017-04-01

End date:

2020-03-31

European industry faces stiff competition on the global arena. Electronic Components and Systems become more and more complex, thus calling for modern engineering practices to be applied in order to better tackle both productivity and quality. Model-based technologies promise significant productivity gains, which have already been proven in several studies and applications. However, these technologies still need more enhancements to scale up for real-life industrial projects and to provide more benefits in different contexts. The ultimate objective of improving productivity, while reducing costs and ensuring quality in development, integration and maintenance, can be achieved by using techniques integrating seamlessly design time and runtime aspects. Industrial scale system models, which are usually multi-disciplinary, multi-teams and serving to several product lines have to be be exploited at runtime, e.g. by advanced tracing and monitoring, thus boosting the overall quality of the final system and providing lessons-learnt for future product generations. MegaM@Rt brings model-based engineering to the next level in order to help European industry reducing development and maintenance costs while reinforcing both productivity and quality. To achieve that, MegaM@Rt will create a framework incorporating methods and tools for continuous development and runtime validation to significantly improve productivity, quality and predictability of large and complex industrial systems. MegaM@Rt addresses the scalability challenges with advanced megamodelling and traceability approaches, while runtime aspects will be tackled via so-called “models@runtime”, online testing and execution traces analysis. MegaM@Rt brings together a strong international consortium involving experts from France, Spain, Italy and Finland. The partners cover the whole value chain from research organizations to tool providers, including 9 end-users with large industrial case studies for results validation. 

[Show all publications]

Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019)
Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin
The First IEEE International Conference On Artificial Intelligence Testing (AI Testing)

Automated Functional Dependency Detection Between Test Cases Using Doc2Vec and Clustering (Apr 2019)
Sahar Tahvili, Leo Hatvani, Michael Felderer , Wasif Afzal, Markus Bohlin
The First IEEE International Conference On Artificial Intelligence Testing (AITest'2019)

Information Flow in Software Testing -- An Interview Study with Embedded Software Engineering Practitioners (Apr 2019)
Per Erik Strandberg, Eduard Paul Enoiu, Wasif Afzal, Daniel Sundmark, Robert Feldt
Journal of IEEE Access (IEEE-Access)

On the Use of Hackathons to Enhance Collaboration in Large Collaborative Projects (Mar 2019)
Alexandra Espinosa Hortelano, Gunnar Widforss, Wasif Afzal, Andrey Sadovykh , Dragos Truscan , Pierluigi Pierini , Adnan Ashraf , Hugo Bruneliere , Pavel Smrz, Alessandra Bagnato
Design, Automation & Test in Europe Conference (DATE'19)

Is MegaM@Rt2 the solution? (Jan 2019)
Gunnar Widforss
High Performance and Embedded Architecture and Compilation 2019 (HiPEAC 2019)

On Measuring Combinatorial Coverage of Manually Created Test Cases for Industrial Software (Jan 2019)
Miraldi Fifo , Eduard Paul Enoiu, Wasif Afzal
International Workshop on Combinatorial Testing (IWCT19)


Wasif Afzal, Associate Professor

Room: U1-138
Phone: +46 21107393


Gunnar Widforss, Senior Project Manager

Room: U1-049
Phone: +4621151729