Finlay Macklon - Google Scholar

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202220233 11

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Co-authors

Cor-Paul BezemerASGAARD (Analytics of Software, Games and Repository Data) lab - University of AlbertaVerified email at ualberta.ca
Mohammad Reza TaesiriUniversity of AlbertaVerified email at ualberta.ca
Markos ViggiatoNLP Applied Scientist, LexCheckVerified email at ualberta.ca

Finlay Macklon

Finlay Macklon

PhD Student, University of Alberta

Verified email at ualberta.ca - Homepage

software engineering intelligent systems mining software repositories automated testing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning MR Taesiri, F Macklon, CP Bezemer Proceedings of the 19th International Conference on Mining Software …, 2022	6	2022
Automatically Detecting Visual Bugs in HTML5 Canvas Games F Macklon, MR Taesiri, M Viggiato, S Antoszko, N Romanova, D Paas, ... 37th IEEE/ACM International Conference on Automated Software Engineering, 1-11, 2022	4	2022
Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors MR Taesiri, F Macklon, Y Wang, H Shen, CP Bezemer arXiv preprint arXiv:2210.02506, 2022	3	2022
A Taxonomy of Testable HTML5 Canvas Issues F Macklon, M Viggiato, N Romanova, C Buzon, D Paas, CP Bezemer IEEE Transactions on Software Engineering, 2023	1*	2023

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