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ESEM 2024: Barcelona, Spain
- Xavier Franch, Maya Daneva, Silverio Martínez-Fernández, Luigi Quaranta:
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2024, Barcelona, Spain, October 24-25, 2024. ACM 2024, ISBN 979-8-4007-1047-6
Technical Papers
- Gang Hu, Xiaoqin Zeng, Wanlong Yu, Min Peng, Mengting Yuan, Liang Duan:
Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search. 1-12 - Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis:
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. 13-24 - Kátia Romero Felizardo, Márcia Sampaio Lima, Anderson Deizepe, Tayana Uchôa Conte, Igor Steinmacher:
ChatGPT application in Systematic Literature Reviews in Software Engineering: an evaluation of its accuracy to support the selection activity. 25-36 - Johan Linåker, Georg J. P. Link, Kevin Lumbard:
Sustaining Maintenance Labor for Healthy Open Source Software Projects through Human Infrastructure: A Maintainer Perspective. 37-48 - Daihong Zhou, Jiyue Zhang, Ping Yu, Wunan Guo:
Enhancing Change Impact Prediction by Integrating Evolutionary Coupling with Software Change Relationships. 49-60 - Konstantin Kuznetsov, Alessio Gambi, Saikrishna Dhiddi, Julia Hess, Rahul Gopinath:
Empirical Evaluation of Frequency Based Statistical Models for Estimating Killable Mutants. 61-71 - Anh The Nguyen, Triet Huynh Minh Le, Muhammad Ali Babar:
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++. 72-83 - Yueyue Liu, Hongyu Zhang, Zhiqiang Li, Yuantian Miao:
Optimizing the Utilization of Large Language Models via Schedule Optimization: An Exploratory Study. 84-95 - Timon Dörzapf, Norman Peitek, Marvin Wyrich, Sven Apel:
Data Analysis Tools Affect Outcomes of Eye-Tracking Studies. 96-106 - Chengwen Du, Tao Chen:
Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems. 107-118 - Triet Huynh Minh Le, Muhammad Ali Babar:
Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help? 119-130 - Triet Huynh Minh Le, Muhammad Ali Babar:
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We? 131-142 - Sahrima Jannat Oishwee, Zadia Codabux, Natalia Stakhanova:
Decoding Android Permissions: A Study of Developer Challenges and Solutions on Stack Overflow. 143-153 - Guoshuai Shi, Farshad Kazemi, Michael W. Godfrey, Shane McIntosh:
Reevaluating the Defect Proneness of Atoms of Confusion in Java Systems. 154-164 - Thomas Weber, Christina Winiker, Sven Mayer:
An Investigation of How Software Developers Read Machine Learning Code. 165-176 - Haoyu Gao, Mansooreh Zahedi, Christoph Treude, Sarita Rosenstock, Marc Cheong:
Documenting Ethical Considerations in Open Source AI Models. 177-188 - Qiong Feng, Huan Ji, Xiaotian Ma, Peng Liang:
Cross-Language Dependencies: An Empirical Study of Kotlin-Java. 189-199 - Georgia M. Kapitsaki, Loukas Chatzivasili, Maria Papoutsoglou, Matthias Galster:
An Exploratory Study on Soft Skills present in Software Positions in Cyprus: a quasi-Replication Study. 200-211 - Duc Anh Le, Bui Thi Mai Anh, Phuong T. Nguyen, Davide Di Ruscio:
Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. 212-222 - Giacomo Garaccione, Riccardo Coppola, Luca Ardito, Marco Torchiano:
Gamification of a BPMN Modeling Course: an Analysis of Effectiveness and Student Perception. 223-233 - Merve Astekin, Max Hort, Leon Moonen:
A Comparative Study on Large Language Models for Log Parsing. 234-244 - Akalanka Galappaththi, Sarah Nadi, Christoph Treude:
An Empirical Study of API Misuses of Data-Centric Libraries. 245-256 - Charalambos Mitropoulos, Maria Kechagia, Chrysostomos Maschas, Sotirios Ioannidis, Federica Sarro, Dimitrios Mitropoulos:
Broken Agreement: The Evolution of Solidity Error Handling. 257-268 - Emeralda Sesari, Federica Sarro, Ayushi Rastogi:
Understanding Fairness in Software Engineering: Insights from Stack Exchange Sites. 269-280 - Faiz Ahmed, Suprakash Datta, Maleknaz Nayebi:
Negative Results of Image Processing for Identifying Duplicate Questions on Stack Overflow. 281-291 - Md Mustakim Billah, Palash Ranjan Roy, Zadia Codabux, Banani Roy:
Are Large Language Models a Threat to Programming Platforms? An Exploratory Study. 292-301 - Mar Zamorano, África Domingo, Carlos Cetina, Federica Sarro:
Game Software Engineering: A Controlled Experiment Comparing Automated Content Generation Techniques. 302-313 - Patricia Lago, Per Runeson, Qunying Song, Roberto Verdecchia:
Threats to Validity in Software Engineering - hypocritical paper section or essential analysis? 314-324 - Lucas Franke, Huayu Liang, Sahar Farzanehpour, Aaron Brantly, James C. Davis, Chris Brown:
An Exploratory Mixed-methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software. 325-336 - Shalini Chakraborty, Grischa Liebel:
Evaluating Software Modelling Recommendations: Towards Systematic Guidelines for Modelling. 337-347 - Rogardt Heldal:
Is generalisation hindering the adoption of your findings? 348-358 - Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, Emad Shihab:
A Transformer-based Approach for Augmenting Software Engineering Chatbots Datasets. 359-370 - Miikka Kuutila, Leevi Rantala, Junhao Li, Simo Hosio, Mika Mäntylä:
What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor. 371-381 - Ernst Pisch, Yuanfang Cai, Rick Kazman, Jason Lefever, Hongzhou Fang:
M-score: An Empirically Derived Software Modularity Metric. 382-392
Emerging Results, Vision and Reflection Papers
- Daniele De Bari, Giacomo Garaccione, Riccardo Coppola, Marco Torchiano, Luca Ardito:
Evaluating Large Language Models in Exercises of UML Class Diagram Modeling. 393-399 - Luciana Lourdes Silva, Janio Rosa da Silva, João Eduardo Montandon, Marcus Andrade, Marco Túlio Valente:
Detecting Code Smells using ChatGPT: Initial Insights. 400-406 - Kátia Romero Felizardo, Igor Steinmacher, Márcia Sampaio Lima, Anderson Deizepe, Tayana Uchôa Conte, Monalessa Perini Barcellos:
Data extraction for systematic mapping study using a large language model - a proof-of-concept study in software engineering. 407-413 - Igor Steinmacher, Jacob McAuley Penney, Kátia Romero Felizardo, Alessandro F. Garcia, Marco Aurélio Gerosa:
Can ChatGPT emulate humans in software engineering surveys? 414-419 - Tiezhu Sun, Nadia Daoudi, Kisub Kim, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. 420-426 - Aylton Almeida, Laerte Xavier, Marco Túlio Valente:
Automatic Library Migration Using Large Language Models: First Results. 427-433 - June Gorostidi, Adem Ait, Jordi Cabot, Javier Luis Cánovas Izquierdo:
On the Creation of Representative Samples of Software Repositories. 434-439 - Florian Angermeir, Jannik Fischbach, Fabiola Moyón, Daniel Méndez:
Towards Automated Continuous Security Compliance. 440-446 - Thayssa A. da Rocha, Cleidson de Souza, Luciano Teran, Marcelle Mota:
Effective Inclusion of People with Disabilities in Software Development Teams. 447-453 - Gareth Bennett, Tracy Hall, Steve Counsell, Emily Winter, Thomas Shippey:
Do Developers Use Static Application Security Testing (SAST) Tools Straight Out of the Box? A large-scale Empirical Study. 454-460 - Yang Deng, Bangchao Wang, Zhiyuan Zou, Luyao Ye:
PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery. 461-467 - Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta:
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. 468-474 - Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro:
Exploring LLM-Driven Explanations for Quantum Algorithms. 475-481 - Julian Frattini, Davide Fucci, Sira Vegas:
Crossover Designs in Software Engineering Experiments: Review of the State of Analysis. 482-488 - Lucas Aguiar, Matheus Paixão, Rafael Augusto Ferreira do Carmo, Edson Soares, Antonio Leal, Matheus Freitas, Eliakim Gama:
Multi-language Software Development in the LLM Era: Insights from Practitioners' Conversations with ChatGPT. 489-495 - Shane K. Panter, Nasir U. Eisty:
Rusty Linux: Advances in Rust for Linux Kernel Development. 496-502 - Denis Sousa, Matheus Paixão, Chaiyong Ragkhitwetsagul, Italo Uchoa:
Code Clone Configuration as a Multi-Objective Search Problem. 503-509 - Yacine Majdoub, Eya Ben Charrada:
Debugging with Open-Source Large Language Models: An Evaluation. 510-516
Industry, Government, and Community Papers
- Matteo Esposito, Francesco Palagiano, Valentina Lenarduzzi, Davide Taibi:
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis. 517-527 - Ersin Ersoy, Selami Bagriyanik, Hasan Sözer:
On the Accuracy of Effort Estimations based on COSMIC Functional Size Measurement: A Case Study. 528-537 - Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yong Yang, Ying Li:
Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study. 538-548 - Thanh Nguyen, Maria Teresa Baldassarre, Luiz Fernando de Lima, Ronnie de Souza Santos:
From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption. 549-555 - Ehsan Firouzi, Ammar Mansuri, Mohammad Ghafari, Maziar Kaveh:
From Struggle to Simplicity with a Usable and Secure API for Encryption in Java. 556-565 - Ronnie de Souza Santos, Luiz Fernando de Lima, Maria Teresa Baldassarre, Rodrigo O. Spínola:
Preliminary Insights on Industry Practices for Addressing Fairness Debt. 566-571 - Alexander Berndt, Thomas Bach, Sebastian Baltes:
Do Test and Environmental Complexity Increase Flakiness? An Empirical Study of SAP HANA. 572-581 - Ehsan Firouzi, Mohammad Ghafari, Mike Ebrahimi:
ChatGPT's Potential in Cryptography Misuse Detection: A Comparative Analysis with Static Analysis Tools. 582-588
Research Projects Papers
- Giuseppe Scanniello, Massimiliano Di Penta, Simone Romano, Rita Francese, Sabato Nocera, Pietro Cassieri, Daniele Bifolco, Fiorella Zampetti:
MSR4SBOM: Mining Software Repositories for enhanced Software Bills of Materials. 589-593 - Clara Ayora, Arturo S. García, Jose Luis de la Vara:
Edge-AI Assurance in the REBECCA Project. 594-597 - Simone Romano, Giuseppe Scanniello, Alessandro Marchetto, Paolo Giorgini, Gloria Guidetti, Daniela Converso, Sara Viotti:
MOOD: Mindfulness fOr sOftware Developers. 598-602 - Nicole Novielli, Rocco Oliveto, Fabio Palomba, Fabio Calefato, Giuseppe Colavito, Vincenzo De Martino, Antonio Della Porta, Giammaria Giordano, Emanuela Guglielmi, Filippo Lanubile, Luigi Quaranta, Gilberto Recupito, Simone Scalabrino, Angelica Spina, Antonio Vitale:
Continuous Quality Improvement of AI-based Systems: the QualAI Project. 603-607 - Fabio Palomba, Andrea Di Sorbo, Davide Di Ruscio, Filomena Ferrucci, Gemma Catolino, Giammaria Giordano, Dario Di Dario, Gianmario Voria, Viviana Pentangelo, Maria Tortorella, Arnaldo Sgueglia, Claudio Di Sipio, Giordano d'Aloisio, Antinisca Di Marco:
FRINGE: context-aware FaiRness engineerING in complex software systEms. 608-612 - Sira Vegas, Xavier Ferré, Hongming Zhu:
Evidence-Based Commit Message Generation with Deep Learning Techniques (EvidenCoM). 613-615
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