Profil

SAARIMÄKI Nyyti

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV

ORCID
0000-0001-5538-8557
Main Referenced Co-authors
Lenarduzzi, Valentina (3)
Robredo, Mikel (3)
Taibi, Davide (3)
Vegas, Sira (2)
BIANCULLI, Domenico  (1)
Main Referenced Keywords
Cohort studies (1); Cohort Study (1); Cohort study (1); Computer Science - Software Engineering (1); Computer Science Applications (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation (4)
Empirical Software Engineering in Software, Systems and Services, University of Oulu (1)
Facultad de Informática, Universidad Politécnica de Madrid (1)
Main Referenced Disciplines
Computer science (4)

Publications (total 4)

The most downloaded
201 downloads
SAARIMÄKI, N., Shin, D., & BIANCULLI, D. (2024). Taxonomy of Software Log Smells. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/63586. https://hdl.handle.net/10993/63586

The most cited

4 citations (OpenAlex)

Robredo, M., SAARIMÄKI, N., Esposito, M., Taibi, D., Peñaloza, R., & Lenarduzzi, V. (December 2025). Evaluating time-dependent methods and seasonal effects in code technical debt prediction. Journal of Systems and Software, 230, 112545. doi:10.1016/j.jss.2025.112545 https://hdl.handle.net/10993/65529

Robredo, M., SAARIMÄKI, N., Esposito, M., Taibi, D., Peñaloza, R., & Lenarduzzi, V. (December 2025). Evaluating time-dependent methods and seasonal effects in code technical debt prediction. Journal of Systems and Software, 230, 112545. doi:10.1016/j.jss.2025.112545
Peer Reviewed verified by ORBi

SAARIMÄKI, N., Robredo, M., Lenarduzzi, V., Vegas, S., Juristo, N., & Taibi, D. (25 June 2025). Does microservice adoption impact the velocity? A cohort study. Empirical Software Engineering, 30 (5). doi:10.1007/s10664-025-10673-7
Peer Reviewed verified by ORBi

SAARIMÄKI, N., Shin, D., & BIANCULLI, D. (2024). Taxonomy of Software Log Smells. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/63586.

SAARIMÄKI, N., Vegas, S., Lenarduzzi, V., Taibi, D., & Robredo, M. (2024). Cohort Studies for Mining Software Repositories. In Proceedings - 2024 IEEE/ACM 21st International Conference on Mining Software Repositories, MSR 2024 (pp. 569-570). Institute of Electrical and Electronics Engineers Inc. doi:10.1145/3643991.3649103
Peer reviewed

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