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ESEM 2022: Helsinki, Finland
- Fernanda Madeiral, Casper Lassenius, Tayana Conte, Tomi Männistö:
ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19 - 23, 2022. ACM 2022, ISBN 978-1-4503-9427-7
Technical Papers
- Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang:
A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. 1-11 - Larissa Braz, Enrico Fregnan, Vivek Arora, Alberto Bacchelli:
An Exploratory Study on Regression Vulnerabilities. 12-22 - Haris Mumtaz, Paramvir Singh, Kelly Blincoe:
Analyzing the Relationship between Community and Design Smells in Open-Source Software Projects: An Empirical Study. 23-33 - Tarek Mahmud, Meiru Che, Guowei Yang
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Android API Field Evolution and Its Induced Compatibility Issues. 34-44 - Nicholas Kozanidis, Roberto Verdecchia
Asking about Technical Debt: Characteristics and Automatic Identification of Technical Debt Questions on Stack Overflow. 45-56 - Renan Gomes Vieira, Diego Mesquita, César Lincoln C. Mattos, Ricardo Britto, Lincoln S. Rocha, João Gomes:
Bayesian Analysis of Bug-Fixing Time using Report Data. 57-68 - Dhia Elhaq Rzig
Characterizing the Usage of CI Tools in ML Projects. 69-79 - Simone Romano
Do Static Analysis Tools Affect Software Quality when Using Test-driven Development? 80-91 - Madhu Selvaraj, Gias Uddin:
Does Collaborative Editing Help Mitigate Security Vulnerabilities in Crowd-Shared IoT Code Examples? 92-102 - Hung Phan, Ali Jannesari
Heterogeneous Graph Neural Networks for Software Effort Estimation. 103-113 - Fabio Santos, Bianca Trinkenreich, João Felipe Pimentel, Igor Wiese, Igor Steinmacher, Anita Sarma, Marco Aurélio Gerosa:
How to Choose a Task? Mismatches in Perspectives of Newcomers and Existing Contributors. 114-124 - Otávio Cury da Costa Castro, Guilherme Avelino, Pedro de A. Santos Neto, Ricardo Britto, Marco Túlio Valente
Identifying Source Code File Experts. 125-136 - Jadson Santos, Daniel Alencar da Costa, Uirá Kulesza:
Investigating the Impact of Continuous Integration Practices on the Productivity and Quality of Open-Source Projects. 137-147 - Jil Klünder, Oliver Karras:
Meetings and Mood - Related or Not? Insights from Student Software Projects. 148-158 - Rebecca Moussa, Giovani Guizzo
MEG: Multi-objective Ensemble Generation for Software Defect Prediction. 159-170 - Zheng Ma, Yuexiu Gao, Lei Lyu, Chen Lyu:
MMF3: Neural Code Summarization Based on Multi-Modal Fine-Grained Feature Fusion. 171-182 - Vali Tawosi, Rebecca Moussa, Federica Sarro
On the Relationship Between Story Points and Development Effort in Agile Open-Source Software. 183-194 - Michael Dorner
Only Time Will Tell: Modelling Information Diffusion in Code Review with Time-Varying Hypergraphs. 195-204 - Xin Liu, Yixiong Wu, Qingchen Yu, Shangru Song, Yue Liu, Qingguo Zhou, Jianwei Zhuge:
PG-VulNet: Detect Supply Chain Vulnerabilities in IoT Devices using Pseudo-code and Graphs. 205-215 - Liming Fu, Peng Liang, Zeeshan Rasheed, Zengyang Li, Amjed Tahir, Xiaofeng Han:
Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities. 216-226 - Zeinab Abou Khalil, Stefano Zacchiroli:
Software Artifact Mining in Software Engineering Conferences: A Meta-Analysis. 227-237 - Leonardo Ferreira Barbosa, Victor Hugo Santiago C. Pinto, Alberto Luiz Oliveira Tavares de Souza, Gustavo Pinto:
To What Extent Cognitive-Driven Development Improves Code Readability? 238-248 - Di Cui, Xingyu Li, Feiyang Liu, Siqi Wang, Jie Dai, Lu Wang, Qingshan Li:
Towards Demystifying the Impact of Dependency Structures on Bug Locations in Deep Learning Libraries. 249-260 - Oleksandra Klymenko
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. 261-271 - Matthias Galster, Antonija Mitrovic, Sanna Malinen, Jay Holland:
What Soft Skills Does the Software Industry *Really* Want? An Exploratory Study of Software Positions in New Zealand. 272-282
Emerging Results and Vision Papers
- Fabio Calefato, Filippo Lanubile, Luigi Quaranta
A Preliminary Investigation of MLOps Practices in GitHub. 283-288 - Md. Masudur Rahman
An Empirical Study on the Occurrences of Code Smells in Open Source and Industrial Projects. 289-294 - Shubhashis Karmakar, Zadia Codabux, Melina C. Vidoni:
An Experience Report on Technical Debt in Pull Requests: Challenges and Lessons Learned. 295-300 - Saima Rafi, Muhammad Azeem Akbar, Mary Sánchez-Gordón, Ricardo Colomo Palacios:
DevOps Practitioners' Perceptions of the Low-code Trend. 301-306 - Shadikur Rahman, Umme Ayman Koana, Maleknaz Nayebi:
Example Driven Code Review Explanation. 307-312 - Makayla Moster
In the Zone: An Analysis of the Music Practices of Remote Software Developers. 313-318
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