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5th TechDebt@ICSE 2022: Pittsburgh, PA, USA

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  - conf/icse/2022techdebt
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Neil A. Ernst, Valentina Lenarduzzi, Tushar Sharma:
TechDebt '22: International Conference on Technical Debt, Pittsburgh Pennsylvania, May 17-18, 2022. ACM 2022, ISBN 978-1-4503-9304-1
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  - conf/icse/RachowR22
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Paula Rachow, Matthias Riebisch:
An architecture smell knowledge base for managing architecture technical debt. 1-10
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  - conf/icse/TornhillB22
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Adam Tornhill, Markus Borg:
Code red: the business impact of code quality - a quantitative study of 39 proprietary production codebases. 11-20
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  - conf/icse/AlbuquerqueGTPA22
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Danyllo Albuquerque, Everton Guimarães, Graziela Tonin, Mirko Perkusich, Hyggo Oliveira de Almeida, Angelo Perkusich:
Comprehending the use of intelligent techniques to support technical debt management. 21-30
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  - conf/icse/GomesSFMMS22
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Felipe Gustavo de Souza Gomes, Eder Pereira dos Santos, Sávio Freire, Manoel G. Mendonça, Thiago Souto Mendes, Rodrigo O. Spínola:
Investigating the point of view of project management practitioners on technical debt: a preliminary study on stack exchange. 31-40
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  - conf/icse/SalleRNRFS22
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Amleto Di Salle, Alessandra Rota, Phuong T. Nguyen, Davide Di Ruscio, Francesca Arcelli Fontana, Irene Sala:
PILOT: synergy between text processing and neural networks to detect self-admitted technical debt. 41-45
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  - conf/icse/PinaSG22
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Diogo Pina, Carolyn Seaman, Alfredo Goldman:
Technical debt prioritization: a developer's perspective. 46-55
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  - conf/icse/UrretavizcayaQM22
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Imanol Urretavizcaya, Nuria Quintano, Jabier Martinez:
Towards measuring the aggregated debt of trustworthiness level. 56-60
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  - conf/icse/IchtsisMAC22
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Apostolos Ichtsis, Nikolaos Mittas, Apostolos Ampatzoglou, Alexander Chatzigeorgiou:
Merging smell detectors: evidence on the agreement of multiple tools. 61-65
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  - conf/icse/SilvaUW22
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Lakmal Silva, Michael Unterkalmsteiner, Krzysztof Wnuk:
MultiDimEr: a multi-dimensional bug analyzEr. 66-70
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Diogo Pina, Alfredo Goldman, Carolyn Seaman:
Sonarlizer xplorer: a tool to mine github projects and identify technical debt items using SonarQube. 71-75
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  - conf/icse/TsoukalasCAMK22
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Dimitrios Tsoukalas, Alexander Chatzigeorgiou, Apostolos Ampatzoglou, Nikolaos Mittas, Dionysios D. Kehagias:
TD classifier: automatic identification of Java classes with high technical debt. 76-80

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