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

Menéndez, H. D., Clark, D., & Barr, E. T. (2021). Getting ahead of the arms race: Hothousing the coevolution of virustotal with a packer. Entropy, 23 (4). doi:10.3390/e23040395

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

Gavidia-Calderon, C., Sarro, F., Harman, M., & Barr, E. T. (2020). Game-theoretic analysis of development practices: Challenges and opportunities. Journal of Systems and Software, 159. doi:10.1016/j.jss.2019.110424

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

Partachi, P. -. P., Treude, C., Dash, S. K., & Barr, E. T. (2020). POSIT: Simultaneously Tagging Natural and Programming Languages. 42nd International Conference on Software Engineering (ICSE '20). ACM. doi:10.1145/3377811.3380440

Allamanis, M., Barr, E. T., Ducousso, S., & Gao, Z. (2020). Typilus: Neural type hints. Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 91-105. doi:10.1145/3385412.3385997

Louis, A., Dash, S. K., Barr, E. T., Ernst, M. D., & Sutton, C. (2020). Where should I comment my code? A dataset and model for predicting locations that need comments. Proceedings of the 42nd International Conference on Software Engineering, New Ideas and Emerging Results Track. ACM.