Asking about Technical Debt: Characteristics and Automatic Identification of Technical Debt Questions on Stack Overflow. Kozanidis, N., Verdecchia, R., & Guzman, E. In Madeiral, F., Lassenius, C., Conte, T., & Männistö, T., editors, ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19 - 23, 2022, pages 45–56, 2022. ACM.
Paper doi bibtex @inproceedings{DBLP:conf/esem/KozanidisVG22,
author = "Kozanidis, Nicholas and Verdecchia, Roberto and Guzman, Emitza",
editor = {Madeiral, Fernanda and Lassenius, Casper and Conte, Tayana and M{\"{a}}nnist{\"{o}}, Tomi},
title = "Asking about Technical Debt: Characteristics and Automatic Identification of Technical Debt Questions on Stack Overflow",
booktitle = "{ESEM} '22: {ACM} / {IEEE} International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19 - 23, 2022",
pages = "45--56",
publisher = "{ACM}",
year = "2022",
url = "https://doi.org/10.1145/3544902.3546245",
doi = "10.1145/3544902.3546245",
timestamp = "Thu, 28 Mar 2024 11:32:36 +0100",
biburl = "https://dblp.org/rec/conf/esem/KozanidisVG22.bib",
bibsource = "dblp computer science bibliography, https://dblp.org"
}
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