Automated Software language and Software engineering
The ASSO research group focuses on automating the engineering of software (programming/modelling) languages and software by applying advanced computation and data manipulation techniques.
The group pursues long-lasting research on the application of advanced computation and data manipulation techniques to automate, systematize and make more flexible the engineering of software languages, and thereby software written using those languages, to increase software quality and productivity of software engineers. The key methodology is Model-Driven Engineering.
The distinctive focus of the ASSO group is multi-fold and includes: engineering of domain-specific languages (DSLs) and modelling languages (DSMLs), automated and seamless support for blended multi-notation editing of programs and models, innovative multi-step transpilation and compilation techniques for automatic generation of executable software from DS(M)Ls based on program and model transformation, software language and software engineering for robotics and the Internet-of-Things.
ASSO is a dynamic group with a variegated set of skills and knowledge in software language and software engineering, as well as theoretical computer science, with a common denominator being automatization of engineering phases. The group has a strong network of internal and external collaborations (both nationally and internationally).
Ongoing research projects
The overall goal of ACICS is to provide models, methods and tools that facilitate a substantial increase of dependability of cloud-based platforms for ICPS applications, with respect to consistency, security and interoperability of data, timing predictability of using shared virtual resources, together with a framework of guaranteeing QoS enforcement by formal analysis and verification.
Project manager at MDU: Cristina Seceleanu
Main financing: The Knowledge Foundation
AIDOaRt är ett tre år långt europeiskt projekt som involverar 32 organisationer, grupperade i kluster från sju olika länder, med fokus på AI-förstärkt automatisering som stöder modellering, kodning, testning, övervakning och kontinuerlig utveckling inom Cyber-Physical Systems (CPS) eller inbyggda system.
Project manager at MDU: Gunnar Widforss
Main financing: ECSEL, VINNOVA
BUMBLE aims at providing an innovative system and software development framework based on blended modelling notations/languages (e.g. textual and graphical).
Project manager at MDU: Federico Ciccozzi
Main financing: Vinnova, ITEA
The initiative for Excellence in Production Research, XPRES, is a joint initiative between KTH, MDU and Swerea. XPRES was elected as one of two strategic initiatives within Manufacturing engineering in Sweden by the government in 2010.
Project manager at MDU: Koteshwar Chirumalla
Main financing: Governmental funding from Strategic Research Area (SRA) intiative