Verification and Software Engineering

The growing pervasiveness of computerised systems makes our society vulnerable to faults or attacks on such systems. Rigorous software engineering methods and supporting efficient verification tools are crucial to counter this threat.

Objectives and synergies

The objectives are

  1. to develop rich mathematically rigorous modelling and analysis frameworks for the behaviour of complex distributed software systems. The frameworks should allow functional correctness, resource efficient and security aspects – as well as their tradeoffs – to be captured and analysed,
  2. to develop and implement supporting verification and analysis tools that scale to the growing complexity software systems, and
  3. transfer of frameworks and tools into industrially used development practice.

The research within Verification and Software Engineering complements and exploits techniques from other research themes. In particular, verification may be applied establish security properties of Secure Multiparty Computations of Blockchains as found in the Cybersecurity and Blockchain theme as already demonstrated by the Center for Program Verification. The dependability and robustness of several CPS and IoT-based systems may be established by Verification and Software Engineering methods.

Artificial Intelligence is increasingly exploited to accelerate and scale current verification techniques. Dually, machine-learned components, such as Deep Neural Networks, are challenging existing algorithmic techniques for verification with exciting research emerging these days towards verifiable and explainable AI.


Toward Verified Artificial Intelligence
By Sanjit A. Seshia, Dorsa Sadigh, S. Shankar Sastry. Communications of the ACM, July 2022

WOLVERINE: Workshop on Open Problems in Learning and Verification of Neural Networks
August 11, 2022 in Haifa (part of FLOC 2022)

Workstream Manager

Kim Guldstrand Larsen

Aalborg University
Department of Computer Science
Selma Lagerlöfsvej 300
9220 Aalborg Ø

T: +45 99 40 88 93

Contributing key researchers:

Alberto Lluch Lafuente

Associate Professor

Technical University of Denmark
DTU Compute

IT University of Copenhagen
Department of Computer Science

University of Copenhagen 
Department of Computer Science

University of Southern Denmark
Department of Mathematics and Computer Science

Jacob Nørbjerg

Associate Professor

Copenhagen Business School
Department of Digitalization

Aarhus University
Department of Computer Science