Leevi Rantala

According to our database, Leevi Rantala authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Studying SATD in drone systems with Human-AI collaboration.

Leevi Rantala, Lwin Khin Shar, Mika V. Mäntylä, Wei Minn, Yan Naing Tun

J. Syst. Softw., 2026

2025

Detection, classification and prevalence of self-admitted aging debt.

Murali Sridharan, Mika Mäntylä, Leevi Rantala

Empir. Softw. Eng., October, 2025

2024

Keyword-labeled self-admitted technical debt and static code analysis have significant relationship but limited overlap.

Leevi Rantala, Mika Mäntylä, Valentina Lenarduzzi

Softw. Qual. J., June, 2024

What Makes Programmers Laugh? Exploring the Subreddit r/ProgrammerHumor.

Miikka Kuutila, Leevi Rantala, Junhao Li, Simo Hosio, Mika Mäntylä

CoRR, 2024

From Reinvention to Reuse: An Empirical Example Study on Technical Debt Dataset.

Leevi Rantala, Mika V. Mäntylä, Murali Sridharan

Proceedings of the Product-Focused Software Process Improvement, 2024

What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor.

Miikka Kuutila, Leevi Rantala, Junhao Li, Simo Hosio, Mika Mäntylä

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2023

PENTACET data - 23 Million Contextual Code Comments and 500, 000 SATD comments.

Murali Sridharan, Leevi Rantala, Mika Mäntylä

CoRR, 2023

PENTACET data - 23 Million Contextual Code Comments and 250,000 SATD comments.

Murali Sridharan, Leevi Rantala, Mika Mäntylä

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022

SoCCMiner: A Source Code-Comments and Comment-Context Miner.

Murali Sridharan, Mika Mäntylä, Maëlick Claes, Leevi Rantala

Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021

Data Balancing Improves Self-Admitted Technical Debt Detection.

Murali Sridharan, Mika Mäntylä, Leevi Rantala, Maëlick Claes

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

2020

Predicting technical debt from commit contents: reproduction and extension with automated feature selection.

Leevi Rantala, Mika Mäntylä

Softw. Qual. J., 2020

Towards better technical debt detection with NLP and machine learning methods.

Leevi Rantala

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Prevalence, Contents and Automatic Detection of KL-SATD.

Leevi Rantala, Mika Mäntylä, David Lo

Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications, 2020