University of Minnesota
Software Engineering Center
/

You are here

Critical Systems Research Group

The Critical Systems Research Group’s (CriSys) research interests are in the general area of software engineering; in particular, software development for critical software applications — applications where incorrect operation of the software could lead to loss of life, substantial material or environmental damage, or large monetary losses. The long-term goal of our research activities is the development of a comprehensive framework for the development of software for critical software systems. Our work has focused on some of the most difficult and least understood aspects of software development—requirements specification and validation/verification.

Recent Publications

Reasoning about Algebraic Datatypes with Abstractions

Reasoning about functions that operate over algebraic data types is an important problem for a large variety of applications. One application of particular interest is network applications that manipulate or reason about complex message structures, such as XML messages. This paper presents a decision procedure for reasoning about algebraic data types using abstractions that are provided by catamorphisms: fold functions that map instances of algebraic data types to values in a decidable domain.

Resolute: An Assurance Case Language for Architecture Models

Arguments about the safety, security, and correctness of a complex system are often made in the form of an assurance case. An assurance case is a structured argument, often represented with a graphical interface, that presents and supports claims about a system's behavior. The argument may combine different kinds of evidence to justify its top level claim. While assurance cases deliver some level of guarantee of a system's correctness, they lack the rigor that proofs from formal methods typically provide.

Representation of Confidence in Assurance Cases using the Beta Distribution

Assurance cases are used to document an argument that a system---such as a critical software system---satisfies some desirable property (e.g., safety, security, or reliability). Demonstrating high confidence that the claims made based on an assurance case can be trusted is crucial to the success of the case. Researchers have proposed quantification of confidence as a Baconian probability ratio of eliminated concerns about the assurance case to the total number of identified concerns.

Pages