A first look at duplicate and near-duplicate self-admitted technical debt comments-Reference-Cited by-同舟云学术

A first look at duplicate and near-duplicate self-admitted technical debt comments

Published:2022-05-16 Issue: Volume: Page:
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Container-title:Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension
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Author:

Yasmin Jerin¹,Sheikhaei Mohammad Sadegh¹,Tian Yuan¹

Affiliation:

1. Queen's University, Canada

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524610.3528387

Reference22 articles.

1. A large-scale empirical study on self-admitted technical debt

2. Martin Ester Hans-Peter Kriegel Jörg Sander Xiaowei Xu etal 1996. A density-based algorithm for discovering clusters in large spatial databases with noise.. In kdd Vol. 96. 226--231. Martin Ester Hans-Peter Kriegel Jörg Sander Xiaowei Xu et al. 1996. A density-based algorithm for discovering clusters in large spatial databases with noise.. In kdd Vol. 96. 226--231.

3. Waiting around or job half-done? Sentiment in self-admitted technical debt

4. Automating the removal of obsolete TODO comments

5. How Far Have We Progressed in Identifying Self-admitted Technical Debts? A Comprehensive Empirical Study

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1. What Makes a Good TODO Comment?;ACM Transactions on Software Engineering and Methodology;2024-06-28

2. Quantifying and characterizing clones of self-admitted technical debt in build systems;Empirical Software Engineering;2024-02-26

3. Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach;2023 ACM/IEEE International Conference on Technical Debt (TechDebt);2023-05

4. Self-Admitted Technical Debt and comments’ polarity: an empirical study;Empirical Software Engineering;2022-07-26