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| 2022 | A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang |
| 2022 | An Empirical Study on the Occurrences of Code Smells in Open Source and Industrial Projects. Md. Masudur Rahman, Abdus Satter, Md. Mahbubul Alam Joarder, Kazi Sakib |
| 2022 | An Experience Report on Technical Debt in Pull Requests: Challenges and Lessons Learned. Shubhashis Karmakar, Zadia Codabux, Melina C. Vidoni |
| 2022 | An Exploratory Study on Regression Vulnerabilities. Larissa Braz, Enrico Fregnan, Vivek Arora, Alberto Bacchelli |
| 2022 | Analyzing the Relationship between Community and Design Smells in Open-Source Software Projects: An Empirical Study. Haris Mumtaz, Paramvir Singh, Kelly Blincoe |
| 2022 | Android API Field Evolution and Its Induced Compatibility Issues. Tarek Mahmud, Meiru Che, Guowei Yang |
| 2022 | Asking about Technical Debt: Characteristics and Automatic Identification of Technical Debt Questions on Stack Overflow. Nicholas Kozanidis, Roberto Verdecchia, Emitza Guzman |
| 2022 | Bayesian Analysis of Bug-Fixing Time using Report Data. Renan Gomes Vieira, Diego Mesquita, César Lincoln C. Mattos, Ricardo Britto, Lincoln S. Rocha, João Gomes |
| 2022 | Characterizing the Usage of CI Tools in ML Projects. Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan |
| 2022 | DevOps Practitioners' Perceptions of the Low-code Trend. Saima Rafi, Muhammad Azeem Akbar, Mary Sánchez-Gordón, Ricardo Colomo-Palacios |
| 2022 | Do Static Analysis Tools Affect Software Quality when Using Test-driven Development? Simone Romano, Fiorella Zampetti, Maria Teresa Baldassarre, Massimiliano Di Penta, Giuseppe Scanniello |
| 2022 | Does Collaborative Editing Help Mitigate Security Vulnerabilities in Crowd-Shared IoT Code Examples? Madhu Selvaraj, Gias Uddin |
| 2022 | ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19 - 23, 2022 Fernanda Madeiral, Casper Lassenius, Tayana Conte, Tomi Männistö |
| 2022 | Example Driven Code Review Explanation. Shadikur Rahman, Umme Ayman Koana, Maleknaz Nayebi |
| 2022 | Heterogeneous Graph Neural Networks for Software Effort Estimation. Hung Phan, Ali Jannesari |
| 2022 | How to Choose a Task? Mismatches in Perspectives of Newcomers and Existing Contributors. Fabio Santos, Bianca Trinkenreich, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Anita Sarma, Marco Aurélio Gerosa |
| 2022 | Identifying Source Code File Experts. Otávio Cury da Costa Castro, Guilherme Avelino, Pedro de A. Santos Neto, Ricardo Britto, Marco Túlio Valente |
| 2022 | In the Zone: An Analysis of the Music Practices of Remote Software Developers. Makayla Moster, Aarav Chandra, Christal Chu, Weiyi Liu, Paige Rodeghero |
| 2022 | Investigating the Impact of Continuous Integration Practices on the Productivity and Quality of Open-Source Projects. Jadson Santos, Daniel Alencar da Costa, Uirá Kulesza |
| 2022 | MEG: Multi-objective Ensemble Generation for Software Defect Prediction. Rebecca Moussa, Giovani Guizzo, Federica Sarro |
| 2022 | MMF3: Neural Code Summarization Based on Multi-Modal Fine-Grained Feature Fusion. Zheng Ma, Yuexiu Gao, Lei Lyu, Chen Lyu |
| 2022 | Meetings and Mood - Related or Not? Insights from Student Software Projects. Jil Klünder, Oliver Karras |
| 2022 | On the Relationship Between Story Points and Development Effort in Agile Open-Source Software. Vali Tawosi, Rebecca Moussa, Federica Sarro |
| 2022 | Only Time Will Tell: Modelling Information Diffusion in Code Review with Time-Varying Hypergraphs. Michael Dorner, Darja Smite, Daniel Méndez, Krzysztof Wnuk, Jacek Czerwonka |
| 2022 | PG-VulNet: Detect Supply Chain Vulnerabilities in IoT Devices using Pseudo-code and Graphs. Xin Liu, Yixiong Wu, Qingchen Yu, Shangru Song, Yue Liu, Qingguo Zhou, Jianwei Zhuge |
| 2022 | Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities. Liming Fu, Peng Liang, Zeeshan Rasheed, Zengyang Li, Amjed Tahir, Xiaofeng Han |
| 2022 | Software Artifact Mining in Software Engineering Conferences: A Meta-Analysis. Zeinab Abou Khalil, Stefano Zacchiroli |
| 2022 | To What Extent Cognitive-Driven Development Improves Code Readability? Leonardo Ferreira Barbosa, Victor Hugo Santiago C. Pinto, Alberto Luiz Oliveira Tavares de Souza, Gustavo Pinto |
| 2022 | Towards Demystifying the Impact of Dependency Structures on Bug Locations in Deep Learning Libraries. Di Cui, Xingyu Li, Feiyang Liu, Siqi Wang, Jie Dai, Lu Wang, Qingshan Li |
| 2022 | Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes |
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