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Publication search results
found 111 matches
- 2024
- Markus Borg, Ilyana Pruvost, Enys Mones, Adam Tornhill:
Increasing, not Diminishing: Investigating the Returns of Highly Maintainable Code. TechDebt@ICSE 2024: 21-30 - Lorenz Graf-Vlachy, Stefan Wagner:
Different Debt: An Addition to the Technical Debt Dataset and a Demonstration Using Developer Personality. TechDebt@ICSE 2024: 31-35 - Theodoros Maikantis, Iliana Natsiou, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Stelios Xinogalos, Nikolaos Mittas:
What you See is What you Get: Exploring the Relation between Code Aesthetics and Code Quality. TechDebt@ICSE 2024: 1-10 - Sergio Moreschini, Valentina Lenarduzzi, Ludovik Coba:
Towards a Technical Debt for AI-based Recommender System. TechDebt@ICSE 2024: 36-39 - Nicolas Riquet, Xavier Devroey, Benoît Vanderose:
Debt Stories: Capturing Social and Technical Debt in the Industry. TechDebt@ICSE 2024: 40-44 - Mikel Robredo, Nyyti Saarimäki, Rafael Peñaloza, Davide Taibi, Valentina Lenarduzzi:
Comparing Multivariate Time Series Analysis and Machine Learning Performance for Technical Debt Prediction: The SQALE Index Case. TechDebt@ICSE 2024: 45-46 - Hina Saeeda, Muhammad Ovais Ahmad, Tomas Gustavsson:
Exploring Process Debt in Large-Scale Agile Software Development For Secure Telecom Solutions. TechDebt@ICSE 2024: 11-20 - Matthias Galster, Zadia Codabux, Rodrigo O. Spinola:
Proceedings of the 7th ACM/IEEE International Conference on Technical Debt, TechDebt 2024, Lisbon, Portugal, April 14-15, 2024. ACM 2024 [contents] - 2023
- Nikolaos Nikolaidis, Apostolos Ampatzoglou, Alexander Chatzigeorgiou, Nikolaos Mittas, Evdokimos I. Konstantinidis, Panagiotis D. Bamidis:
Exploring the Effect of Various Maintenance Activities on the Accumulation of TD Principal. TechDebt@ICSE 2023: 102-111 - William Aiken, Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Mehrdad Sabetzadeh, Herna L. Viktor:
Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt. TechDebt@ICSE 2023: 37-41 - Fandi Bi, Birgit Vogel-Heuser, Fengmin Du, Nils Hanich, Ennuri Cho:
Technical Debt Contagiousness Metrics for Measurement and Prioritization in Mechatronics. TechDebt@ICSE 2023: 42-51 - Markus Finke, Thomas Neff, Tobias Reichl:
How to introduce TD Management into a Software Development Process - A Practical Approach. TechDebt@ICSE 2023: 52-61 - Domenico Gigante, Fabiano Pecorelli, Vita Santa Barletta, Andrea Janes, Valentina Lenarduzzi, Davide Taibi, Maria Teresa Baldassarre:
Resolving Security Issues via Quality-Oriented Refactoring: A User Study. TechDebt@ICSE 2023: 82-91 - Lorenz Graf-Vlachy, Stefan Wagner:
The Type to Take Out a Loan? A Study of Developer Personality and Technical Debt. TechDebt@ICSE 2023: 27-36 - Wuxia Jin, Yuyun Zhang, Jiaowei Shang, Yi Hou, Ming Fan, Ting Liu:
Identifying Code Changes for Architecture Decay via a Metric Forest Structure. TechDebt@ICSE 2023: 62-71 - Yikun Li, Mohamed Soliman, Paris Avgeriou:
Automatically Identifying Relations Between Self-Admitted Technical Debt Across Different Sources. TechDebt@ICSE 2023: 11-21 - Mohammad Sadegh Sheikhaei, Yuan Tian:
Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach. TechDebt@ICSE 2023: 22-26 - Lakmal Silva, Michael Unterkalmsteiner, Krzysztof Wnuk:
Towards identifying and minimizing customer-facing documentation debt. TechDebt@ICSE 2023: 72-81 - Daniel Skryseth, Karthik Shivashankar, Ildikó Pilán, Antonio Martini:
Technical Debt Classification in Issue Trackers using Natural Language Processing based on Transformers. TechDebt@ICSE 2023: 92-101 - Gregory Wilder II, Riley Miyamoto, Samuel Watson, Rick Kazman, Anthony Peruma:
An Exploratory Study on the Occurrence of Self-Admitted Technical Debt in Android Apps. TechDebt@ICSE 2023: 1-10 - 2023 ACM/IEEE International Conference on Technical Debt (TechDebt), Melbourne, Australia, May 14-15, 2023. IEEE 2023, ISBN 979-8-3503-1194-5 [contents]
- 2022
- Danyllo Albuquerque, Everton Guimarães, Graziela Tonin, Mirko Barbosa Perkusich, Hyggo Oliveira de Almeida, Angelo Perkusich:
Comprehending the use of intelligent techniques to support technical debt management. TechDebt@ICSE 2022: 21-30 - 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. TechDebt@ICSE 2022: 31-40 - Apostolos Ichtsis, Nikolaos Mittas, Apostolos Ampatzoglou, Alexander Chatzigeorgiou:
Merging smell detectors: evidence on the agreement of multiple tools. TechDebt@ICSE 2022: 61-65 - Diogo Pina, Alfredo Goldman, Carolyn Seaman:
Sonarlizer xplorer: a tool to mine github projects and identify technical debt items using SonarQube. TechDebt@ICSE 2022: 71-75 - Diogo Pina, Carolyn Seaman, Alfredo Goldman:
Technical debt prioritization: a developer's perspective. TechDebt@ICSE 2022: 46-55 - Paula Rachow, Matthias Riebisch:
An architecture smell knowledge base for managing architecture technical debt. TechDebt@ICSE 2022: 1-10 - 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. TechDebt@ICSE 2022: 41-45 - Lakmal Silva, Michael Unterkalmsteiner, Krzysztof Wnuk:
MultiDimEr: a multi-dimensional bug analyzEr. TechDebt@ICSE 2022: 66-70 - Adam Tornhill, Markus Borg:
Code red: the business impact of code quality - a quantitative study of 39 proprietary production codebases. TechDebt@ICSE 2022: 11-20
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