(2020). Assurance Argument Patterns and Processes for Machine Learning in Safety-Related Systems. To appear at SafeAI 2020
(2019). Detection and Mitigation of Rare Subclasses in Neural Network Classifiers. Pre-print available on arxiv.
(2019). A pattern for arguing the assurance of machine learning in medical diagnosis systems. International Conference on Computer Safety, Reliability, and Security
(2019). Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges. Pre-print available on arxiv.
(2019). Efficient Parametric Model Checking Using Domain Knowledge. Accepted for publication in IEEE Transactions on Software Engineering. ePMC Website
(2019). Using Unstructured Data to Improve the Continuous Planning of Critical Processes Involving Humans. Accepted for publication in the proceedings of the 14th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
(2018). Observation-Enhanced QoS Analysis of Component-Based Systems. IEEE Transactions on Software Engineering OMNI Website
(2018). Efficient Parametric Model Checking Using Domain-Specific Modelling Patterns. New Ideas and Emerging Results track of ICSE 2018
(2018). Using Runtime Quantitative Verification to Provide Assurance Evidence for Self-Adaptive Software. Software Engineering for Self-Adaptive Systems III. Assurances, p223-248
(2017). Accurate Analysis of Quality Properties of Software with Observation-Based Markov Chain Refinement. IEEE International Conference on Software Architecture (ICSA), 2017.
(2017). Self-Adaptive Role-Based Access Control for Business Processes Proceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). IEEE Press, 2017.
(2015). FACT: A Probabilistic Model Checker for Formal Verification with Confidence Intervals. International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS), 2016. FACT Website
(2015). Stochastic modelling, analysis and verification of mission-critical software and business processes. 4th IMA Conference on Mathematics in Defence.