Do Quality Indicators Prefer Particular Multi-Objective Search Algorithms in Search-Based Software Engineering? In 12th Symposium on Search-Based Software Engineering, Edited by A. Aleti and A. Panichella. LNCS, 2020.
Empowering Model-based Engineering with the CynefinFramework for Systematic Uncertainty Thinking In 1st Uncertainty in Modeling Workshop 2020, Co-located with the ACM/IEEE 213rd International Conference on Model Driven Engineering Languages and Systems., 2020.
Handling Uncertainties in Cyber-Physical Systems during TheirOperations with Digital Twins In 5th Workshop on Monitoring and Testing of Cyber-Physical Systems (MT-CPS)., 2020.
Handling Uncertainties in Cyber-Physical Systems during TheirOperations with Digital Twins. Simula Research Laboratory, Technical Report, 2020.
Modeling Foundations for Executable Model-Based Testing of Self-Healing Cyber-Physical Systems In IEEE International Conference on Software Testing, Verification and Validation (ICST 2020)., 2020.
Pattern-based Interactive Configuration Derivation for Cyber-Physical System Product Lines." ACM Transactions on Cyber-Physical Systems (2020)."
Quality Indicators in Search-Based Software Engineering: An Empirical Evaluation." ACM Transactions on Software Engineering and Methodology (TOSEM) (2020)."
Specifying Uncertainty in Use Case Models In International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2020). INSTICC , 2020.
Uncertainty-wise Requirements Prioritization with Search." ACM Transactions on Software Engineering and Methodology (2020)."
Employing Rule Mining and Multi-Objective Search for Dynamic Test Case Prioritization." Journal of Systems and Software 153 (2019): 86-104."
Enabling automated requirements reuse and configuration In 23rd International Systems and Software Product Line Conference, Paris, France. ACM, 2019.
Proceedings of the 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2019.
Search-based test case implantation for testing untested configurations In 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Diego (CA), USA. ACM, 2019.
Search-Based Test Case Implantation for Testing Untested Configurations." Information and Software Technology 111 (2019): 22-36."
Testing Self-Healing Cyber-Physical Systems under Uncertainty: A Fragility-Oriented Approach." Software Quality Journal 27, no. 2 (2019): 615-649."
Uncertainty-wise Test Case Generation and Minimization for Cyber-Physical Systems In 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019), San Diego (CA), USA. San Diego (CA), USA: ACM, 2019.
Uncertainty-wise Test Case Generation and Minimization for CyberPhysical Systems." Journal of Systems and Software 153 (2019)."
Using multi-objective search and machine learning to infer rules constraining product configurations." Automated Software Engineering (2019): 1-62."
Automated Refactoring of OCL Constraints with Search In ICSE 2018, Gothenburg, Sweden., 2018.
Automated Test Case Implantation to Test Untested Configurations: A Cost-Effective Search-Based Approach. Simula Research Laboratory, 2018.
Automatic Support of the Generation and Maintenance of Assurance Cases In Symposium on Dependable Software Engineering: Theories, Tools and Applications, Edited by X. Feng, M. Muller-Olm and Z. Yang. Cham: Springer International Publishing, 2018.
CBGA-ES+: A Cluster-Based Genetic Algorithm with Non-Dominated Elitist Selection for Supporting Multi-Objective Test Optimization." IEEE Transactions on Software Engineering (2018)."
Empirical Research in Software Engineering - a Literature Survey." Journal of Computer Science and Technology 33, no. 5 (2018): 876-899."
Employing Multi-Objective Search and Machine Learning to Mine Cross Product Line Rules: A Technical Report. Oslo, Norway: Simula Research Laboratory, 2018.