2023
Lopez, Tamara; Sharp, Helen; Wermelinger, Michel; Langer, Melanie; Levine, Mark; Jay, Caroline and Nuseibeh, Bashar (2023). Accounting for socio-technical resilience in software engineering. In Proceedings of IEEE/ACM 16th International Conference on Cooperative and Human Aspects of Software Engineering (CHASE), 14-15 May 2023, Melbourne.
Langer M., Jay C., Lopez T., Barthaud D., Sharp H., Nuseibeh B., Wermelinger, M. and Levine M. (2023). Managing Threat in the Workplace: Protective Psychological Factors in Research Software Engineering. Annual Meeting – Academy of Management.
Langer M., Jay C., Lopez T., Barthaud D., Sharp H., Nuseibeh B., Wermelinger, M. and Levine M. (2023). Managing Threat in the Workplace: Protective Psychological Factors in Research Software Engineering. European Association of Social Psychology General Meeting.
2022
Langer, Melanie and Levine, Mark (2022). Exploring the RSE Identity: A psychological analysis of resilience, autonomy, automation and skill loss. Annual Research Software Engineering Conference.
Sharp, H., Lopez, T. and Wermelinger, M. (2022). Informed consent and participant recruitment in studies of software practice. In Proceedings of ROPES Workshop co-located with ICSE 2022, May 17th.
Urs, S. (2022). Building socio-technical resilience in software development: experiences from The Motivating Jenny Project. Information Matters, Vol. 2, Issue 9.
2021
Jay, Caroline (2021). How has the COVID-19 pandemic affected working conditions for research software engineers? Software Sustainability Institute: Collaborations Workshop.
Helen Sharp, Tamara Lopez, Michel Wermelinger, Mark Levine, Caroline Jay, Bashar Nuseibeh (2021). Why we didn’t conduct studies in socio-technical resilience during the pandemic. In: Proceedings of the 18th European Conference on Computer-Supported Cooperative Work: Workshop on Understanding research about software developers around the world amidst global pandemics and crises. 7-8 June 2021, Virtual (and University of Zurich, Switzerland).
Bui, Nghi D.Q.; Yu, Yijun and Jiang, Lingxiao (2021). InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees. In: International Conference on Software Engineering (van Deursen, Arie and Xie, Tao eds.), 23-29 May 2021, Virtual (originally Madrid, Spain).
Bui, Nghi D.Q.; Yu, Yijun and Jiang, Lingxiao (2021). TreeCaps: Tree-Based Capsule Networks for Source Code Processing. In: 35th AAAI Conference on Artificial Intelligence (AAAI-21) (Leyton-Brown, Kevin and Mausam, Prof. eds.), 2-9 Feb 2021, Virtual Conference, Association for the Advancement of Artificial Intelligence.