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Leevi Rantala
Leevi Rantala
PhD Student, University of Oulu
Verified email at oulu.fi
Title
Cited by
Cited by
Year
Data balancing improves self-admitted technical debt detection
M Sridharan, M Mantyla, L Rantala, M Claes
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021
152021
Predicting technical debt from commit contents: reproduction and extension with automated feature selection
L Rantala, M Mäntylä
Software Quality Journal 28, 1551-1579, 2020
132020
Prevalence, contents and automatic detection of KL-SATD
L Rantala, M Mäntylä, D Lo
2020 46th Euromicro Conference on Software Engineering and Advanced …, 2020
132020
SoCCMiner: a source code-comments and comment-context miner
M Sridharan, M Mäntylä, M Claes, L Rantala
Proceedings of the 19th International Conference on Mining Software …, 2022
72022
Towards better technical debt detection with NLP and machine learning methods
L Rantala
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
72020
Pentacet data-23 million contextual code comments and 250,000 satd comments
M Sridharan, L Rantala, M Mäntylä
2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023
62023
Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlap
L Rantala, M Mäntylä, V Lenarduzzi
Software Quality Journal 32 (2), 391-429, 2024
42024
Pentacet data-23 million contextual code comments and 500,000 satd comments
M Sridharan, L Rantala, M Mäntylä, M Claes
M3S, University of Oulu, Oulu, Finland, 2023
22023
What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor.
M Kuutila, L Rantala, J Li, S Hosio, M Mäntylä
Proceedings of the 18th ACM/IEEE International Symposium on Empirical …, 2024
12024
Relationship between self-admitted technical debt and code-level technical debt. an empirical evaluation
L Rantala, V Lenarduzzi, M Mäntylä
Software Quality Journal 10, 2023
12023
From Reinvention to Reuse: An Empirical Example Study on Technical Debt Dataset
L Rantala, MV Mäntylä, M Sridharan
International Conference on Product-Focused Software Process Improvement …, 2024
2024
Developing an aspect-based sentiment lexicon for software engineering
L Rantala
L. Rantala, 2018
2018
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