Goldbaum, S., Mihaly, A., Ellison, T., Barr, E. T., & Marron, M. (2022). High Assurance Software for Financial Regulation and Business Platforms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13182 LNCS, 108-126. doi:10.1007/978-3-030-94583-1_6
White, R., Krinke, J., Barr, E. T., Sarro, F., & Ragkhitwetsagul, C. (2021). Artefact Relation Graphs for Unit Test Reuse Recommendation. 2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST). IEEE. doi:10.1109/icst49551.2021.00025
Casalnuovo, C., Barr, E. T., Dash, S. K., Devanbu, P., & Morgan, E. (2020). A Theory of Dual Channel Constraints. ACM. doi:10.1145/3377816.3381720
Bruce, D., Menéndez, H. D., Barr, E. T., & Clark, D. (2020). Ant Colony Optimization for Object-Oriented Unit Test Generation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12421 LNCS, 29-41. doi:10.1007/978-3-030-60376-2_3
Partachi, P. -. P., Dash, S. K., Allamanis, M., & Barr, E. T. (2020). Flexeme: Untangling Commits Using Lexical Flows. Proceedings of the 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '20. ACM. doi:10.1145/3368089.34096931
White, D. R., Fowler, B., Banzhaf, W., & Barr, E. T. (2020). Modelling Genetic Programming as a Simple Sampling Algorithm. Genetic Programming Theory and Practice XVII (pp. 367-381). Springer International Publishing. doi:10.1007/978-3-030-39958-0_18