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To enhance documentation and maintenance practices, developers conventionally establish links between related software artifacts manually.
The promises and perils of mining git
C. Bird, P. C. Rigby, E. T. Barr, D. J. Hamilton, D. M. German, and P. Devanbu · 2009
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Attracting the community’s many eyes: an exploration of user involvement in issue tracking
L. Grammel, H. Schackmann, A. Schröter, C. Treude, and M.-A. Storey · 2010
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Pandas: a foundational python library for data analysis and statistics
W. McKinney et al · 2011
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Relink: recovering links between bugs and changes
R. Wu, H. Zhang, S. Kim, and S.-C. Cheung · 2011
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Information retrieval methods for automated traceability recovery
A. De Lucia, A. Marcus, R. Oliveto, and D. Poshyvanyk · 2012
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Multi-layered approach for recovering links between bug reports and fixes
A. T. Nguyen, T. T. Nguyen, H. A. Nguyen, and T. N. Nguyen · 2012
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Software traceability: trends and future directions
J. Cleland-Huang, O. C. Gotel, J. Huffman Hayes, P. Mäder, and A. Zisman · 2014
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The promises and perils of mining github
E. Kalliamvakou, G. Gousios, K. Blincoe, L. Singer, D. M. German, and D. Damian · 2014
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Potential biases in bug localization: Do they matter?
P. S. Kochhar, Y. Tian, and D. Lo · 2014
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Engineering big data solutions
A. Mockus · 2014
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Rclinker: Automated linking of issue reports and commits leveraging rich contextual information
T.-D. B. Le, M. Linares-Vásquez, D. Lo, and D. Poshyvanyk · 2015
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Effective approaches to attention-based neural machine translation
M.-T. Luong, H. Pham, and C. D. Manning · 2015
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Discovering loners and phantoms in commit and issue data
G. Schermann, M. Brandtner, S. Panichella, P. Leitner, and H. Gall · 2015
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Improving missing issue-commit link recovery using positive and unlabeled data
Y. Sun, C. Chen, Q. Wang, and B. Boehm · 2017
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Frlink: Improving the recovery of missing issue-commit links by revisiting file relevance
Y. Sun, Q. Wang, and Y. Yang · 2017
Cited alongside, same era.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
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Traceability in the wild: automatically augmenting incomplete trace links
M. Rath, J. Rendall, J. L. Guo, J. Cleland-Huang, and P. Mäder · 2018
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Be careful of when: an empirical study on time-related misuse of issue tracking data
F. Tu, J. Zhu, Q. Zheng, and M. Zhou · 2018
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A literature review of automatic traceability links recovery for software change impact analysis
T. W. W. Aung, H. Huo, and Y. Sui · 2020
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Self-attentive hawkes process
Q. Zhang, A. Lipani, O. Kirnap, and E. Yilmaz · 2020
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Transformer hawkes process
S. Zuo, H. Jiang, Z. Li, T. Zhao, and H. Zha · 2020
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Escaping the time pit: Pitfalls and guidelines for using time-based git data
S. W. Flint, J. Chauhan, and R. Dyer · 2021
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Topic recommendation for software repositories using multi-label classification algorithms
M. Izadi, A. Heydarnoori, and G. Gousios · 2021
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Traceability transformed: Generating more accurate links with pre-trained bert models
J. Lin, Y. Liu, Q. Zeng, M. Jiang, and J. Cleland-Huang · 2021
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F. Zhou, L. Liu, K. Zhang, G. Trajcevski, J. Wu, and T. Zhong · 2018
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Identifying, categorizing and mitigating threats to validity in software engineering secondary studies
A. Ampatzoglou, S. Bibi, P. Avgeriou, M. Verbeek, and A. Chatzigeorgiou · 2019
Cited alongside, same era.
Interactive traceability links visualization using hierarchical trace map
T. W. W. Aung, H. Huo, and Y. Sui · 2019
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Albert: A lite bert for self-supervised learning of language representations
Z. Lan, M. Chen, S. Goodman, K. Gimpel, P. Sharma, and R. Soricut · 2019
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Roberta: A robustly optimized bert pretraining approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov · 2019
Cited alongside, same era.
Deeplink: Recovering issue-commit links based on deep learning
H. Ruan, B. Chen, X. Peng, and W. Zhao · 2019
Cited alongside, same era.
Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
V. Sanh, L. Debut, J. Chaumond, and T. Wolf · 2019
Cited alongside, same era.
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Automated recovery of issue-commit links leveraging both textual and non-textual data
P. R. Mazrae, M. Izadi, and A. Heydarnoori · 2021
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Industry-scale ir-based bug localization: A perspective from facebook
V. Murali, L. Gross, R. Qian, and S. Chandra · 2021
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On the evaluation of nlp-based models for software engineering
M. Izadi and M. N. Ahmadabadi · 2022
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Predicting the objective and priority of issue reports in software repositories
M. Izadi, K. Akbari, and A. Heydarnoori · 2022
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Codefill: Multi-token code completion by jointly learning from structure and naming sequences
M. Izadi, R. Gismondi, and G. Gousios · 2022
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Aide-memoire: Improving a project’s collective memory via pull request–issue links
P.-P. Partachi, D. R. White, and E. T. Barr · 2022
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Extending source code pre-trained language models to summarise decompiled binaries
A. Al-Kaswan, T. Ahmed, M. Izadi, A. A. Sawant, P. Devanbu, and A. van Deursen · 2023
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