23 shades of self-admitted technical debt: an empirical study on machine learning software
Author:
Affiliation:
1. Iowa State University, USA
2. Carleton University, Canada
3. Concordia University, Canada
Funder
NSF (National Science Foundation)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3540250.3549088
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4. A large-scale empirical study on self-admitted technical debt
5. Houssem Ben Braiek , Foutse Khomh , and Bram Adams . 2018 . The Open-Closed Principle of Modern Machine Learning Frameworks. In 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR). 353–363 . Houssem Ben Braiek, Foutse Khomh, and Bram Adams. 2018. The Open-Closed Principle of Modern Machine Learning Frameworks. In 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR). 353–363.
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