Post-doctoral Researcher Miikka Kuutila, PhD, Dalhousie University

1.Kuutila, M., Rantala, L., Li, J., Hosio, S., & Mäntylä, M. (2024). What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor. In Proceedings of the 18th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM ’24), October 24–25, 2024, Barcelona, Spain. https://doi.org/10.1145/3674805.3686696

2.Kuutila, M., Kiili, C., Kupiainen, R., Huusko, E., Li, J., Hosio, S., Mäntylä, M., Coiro, J., & Kiili, K. (2024). Revealing complexities when adult readers engage in the credibility evaluation of social media posts. Computers in Human Behavior, 151, 108017. https://doi.org/10.1016/j.chb.2023.108017

3.Huotala, A., Kuutila, M., Ralph, P., & Mäntylä, M. (2024). The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews. In Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering (pp. 262-271), Salerno, Italy. https://doi.org/10.1145/3661167.3661172 . (Shared first authorship).

4.Kuutila, M., Mantyla, M. V., Farooq, U., & Claes, M. (2021). What Do We Know About Time Pressure in Software Development? IEEE Software, 38(05), 32-38. https://doi.org/10.1109/MS.2020.3020784 . Presented in the Journal First track of 23rd International Conference on Product Focused Software Process Improvement 2022 (PROFES), in Jyväskylä Finland.

5.Kuutila, M., Mäntylä, M., Claes, M., Elovainio, M., & Adams, B. (2021). Individual differences limit predicting well-being and productivity using software repositories: a longitudinal industrial study. Empirical Software Engineering, 26(5), 1-30. https://doi.org/10.1007/s10664-021-09977-1 . Presented in the Journal First track of 44th International Conference on Software Engineering 2022 (ICSE), Pittsburgh, Pennsylvania, USA.

6.Kuutila, M., Mäntylä, M., & Claes, M. (2020). Chat activity is a better predictor than chat sentiment on software developers productivity. In the 5th International Workshop on Emotion Awareness in Software Engineering (SEmotion), Oct 28-29, 2020, Seoul, South Korea, pp. 1-4. https://doi.org/10.1145/3387940.3392224

7.Kuutila, M., Mäntylä, M., Farooq, U., & Claes, M. (2020). Time pressure in software engineering: A systematic review. Information and Software Technology, 106257. https://doi.org/10.1016/j.infsof.2020.106257

8.Kuutila, M., Mäntylä, M. V., Claes, M., Elovainio, M., & Adams, B. (2018, October). Using experience sampling to link software repositories with emotions and work well-being. In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Oulu, Finland, pp. 1-10. https://doi.org/10.1145/3239235.3239245

9.Kuutila, M., Mäntylä, M. V., Claes, M., & Elovainio, M. (2018, June). Daily questionnaire to assess self-reported well-being during a software development project. In Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering (SEmotion), Gothenburg, Sweden, pp. 39-43. https://doi.org/10.1145/3194932.3194942

10.Kuutila, M., Mäntylä, M. V., Claes, M., & Elovainio, M. (2017, May). Reviewing literature on time pressure in software engineering and related professions: computer assisted interdisciplinary literature review. In 2017 IEEE/ACM 2nd International Workshop on Emotion Awareness in Software Engineering (SEmotion) (pp. 54-59). IEEE. https://doi.org/10.1109/SEmotion.2017.11

11.Ayoola, B, Kuutila, M., Wehbe, R., & Ralph, P. (2025). User Personas Improve Social Sustainability by Encouraging Software Developers to Deprioritize Antisocial Features. Accepted to the the 47th International Conference on Software Engineering to be held 27 April-3 May 2025 in Ottawa, Canada. See the list of accepted papers here.

12.Ralph, P., Kuutila, M., Arif, H., & Ayoola, B. (2024). Teaching Software Metrology: The Science of Measurement for Software Engineering. In Mendez, D., Avgeriou, P., Kalinowski, M., & Bin Ali, N (Eds.), Handbook on Teaching Empirical Software Engineering. Springer. To be published on 18th of November 2024.

13.Li, J., Kuutila, M., Huusko, E., Kariyakarawana, N., Savic, M., Nakhaie Ahooie, N., Hosio, S., & Mäntylä, M.(2023). Assessing credibility factors of short-form social media posts: A crowdsourced online experiment. In Proceedings of the 15th biannual conference of the Italian SIGCHI chapter (CHItaly). Torino, Italy. https://doi.org/10.1145/3605390.3605406

14.Li, J., Paananen, V., Suryanarayana, S. A., Huusko, E., Kuutila, M., Mäntylä, M., & Hosio, S. (2023, March). Itis an online platform and not the real world, I don’t care much: Investigating Twitter Profile Credibility With an Online Machine Learning-Based Tool. In Proceedings of the 2023 Conference on Human Information Interaction and Retrieval (CHIIR '23)(pp. 117-127). https://doi.org/10.1145/3576840.3578308

15.Mäntylä, M. V., Graziotin, D., & Kuutila, M. (2018). The evolution of sentiment analysis—A review of research topics, venues, and top cited papers. Computer Science Review, 27, 16-32. https://doi.org/10.1016/j.cosrev.2017.10.002

16.Claes, M., Mäntylä, M. V., Kuutila, M., & Adams, B. (2018, May). Do programmers work at night or during the weekend?. In Proceedings of the 40th International Conference on Software Engineering, Gothenburg, Sweden, pp. 705-715. https://doi.org/10.1145/3180155.3180193

17.Claes, M., Mäntylä, M., Kuutila, M., & Farooq, U. (2018, May). Towards automatically identifying paid open source developers. In Proceedings of the 15th International Conference on Mining Software Repositories (pp. 437-441). https://doi.org/10.1145/3196398.3196447

18.Luo, C., Kuutila, M., Klakegg, S., Ferreira, D., Flores, H., Goncalves, J., ... & Kostakos, V. (2017). TestAWARE: a laboratory-oriented testing tool for mobile context-aware applications. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), 1-29. https://doi.org/10.1145/3130945

19.Mäntylä, M. V., Novielli, N., Lanubile, F., Claes, M., & Kuutila, M. (2017, May). Bootstrapping a lexicon for emotional arousal in software engineering. In 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR) (pp. 198-202). IEEE. https://doi.org/10.1109/MSR.2017.47

20.Claes, M., Mäntylä, M., Kuutila, M., & Adams, B. (2017, May). Abnormal working hours: effect of rapid releases and implications to work content. In 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR) (pp. 243-247). IEEE. https://doi.org/10.1109/MSR.2017.3

21.Luo, C., Kuutila, M., Klakegg, S., Ferreira, D., Flores, H., Goncalves, J., ... & Mäntylä, M. (2016, September). How to validate mobile crowdsourcing design? leveraging data integration in prototype testing. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (pp. 1448-1453). https://doi.org/10.1145/2968219.296858

22. Kuutila, M. (2021). Time pressure and well-being in software engineering: evidence from software repositories, experience sampling, and prior literature. University of Oulu, doctoral thesis.

23. Kuutila, M., Mäntylä, M., & Raulamo-Jurvanen, P. (2016). Benchmarking web-testing-selenium versus watir and the choice of programming language and browser. arXiv preprint arXiv:1611.00578.