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Editions20262025

ESEM 2025

A

International Symposium on Empirical Software Engineering and Measurement

Official site ↗
58
accepted papers
198
authors
September 29 - October 3, 2025
dates
USA
location

58 / 58 papers

  1. 1
    "Is It Responsible?"Emerging Results on Comparing Guardrails for Harm Mitigation in LLM-Enhanced Software Applications
    Manoel Veríssimo dos Santos Neto
    ,
    Valdemar Vicente Graciano Neto
    ,
    Arlindo Rodrigues Galvão Filho
    ,
    Mohamad Kassab
    ,
    Edson OliveiraJr
  2. 2
    A Defect Taxonomy for Infrastructure as Code: A Replication Study
    Wendell Oliveira
    ,
    Filipe Paiva
    ,
    Thiago Emmanuel Pereira
    ,
    João Brunet
  3. 3
    A Fully Automated Agent for End-to-End Code Translation and Validation
    Eray Erer
    ,
    Aysun Bozanta
    ,
    Turgay Aytac
    ,
    Ayse Basar
  4. 4
    A Preliminary Assessment of SLR's Reliance on Preprints, in the Area of LLMs4SE
    Sarah Buckley
    ,
    Abdul Razzaq
    ,
    Michael English
  5. 5
    A Proposal on an AI-Based Framework for Software Defect Detection Using Multimodality in Software Industries
    Shrabanti Kundu
    ,
    Deepti Mishra
    ,
    Alok Mishra
  6. 6
    A Vision for Debiasing Confirmation Bias in Software Testing via LLM
    Iflaah Salman
    ,
    Muhammad Waseem
    ,
    Vladimir Mandic
    ,
    Rasanjana Dhanushkha De Alwis
  7. 7
    Aggregating Empirical Evidence from Data Strategies Studies: A Case on Model Quantization
    Santiago del Rey
    ,
    Paulo Sérgio Medeiros dos Santos
    ,
    Guilherme Horta Travassos
    ,
    Xavier Franch
    ,
    Silverio Martínez-Fernández
  8. 8
    An Empirical Investigation into Maintenance of Load Testing Scripts
    Ibuki Nakamura
    ,
    Kosei Horikawa
    ,
    Brittany Reid
    ,
    Yutaro Kashiwa
    ,
    Hajimu Iida
  9. 9
    Another Systematic Review? A Critical Analysis of Systematic Literature Reviews on Agile Effort and Cost Estimation
    Henry Edison
    ,
    Nauman Bin Ali
  10. 10
    Assessing Diversity in Creating Seed Set for Snowballing Search for Systematic Literature Review in Software Engineering
    Kátia Romero Felizardo
    ,
    Francisco Carlos M. Souza
    ,
    Alinne Cristinne Corrêa Souza
    ,
    Bianca Minetto Napoleão
    ,
    Igor Steinmacher
    ,
    Marco Aurélio Gerosa
  11. 11
    Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models
    Tanni Dev
    ,
    Sayma Sultana
    ,
    Amiangshu Bosu
  12. 12
    Beyond the Job Posting: What Hiring Managers Seek in Entry-Level Software Engineering Candidates
    Spencer Baloga Loufek
    ,
    Fabio Santos
    ,
    Bianca Trinkenreich
  13. 13
    Can User Feedback Help Issue Detection? An Empirical Study on a One-Billion-User Online Service System
    Shuyao Jiang
    ,
    Jiazhen Gu
    ,
    Wujie Zheng
    ,
    Yangfan Zhou
    ,
    Michael R. Lyu
  14. 14
    Cognitive Biases in Software Engineering: Debiasing Through Reconception
    Heidi Hietala
    ,
    Burak Turhan
  15. 15
    Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
    Bo Xiong
    ,
    Linghao Zhang
    ,
    Chong Wang
    ,
    Peng Liang
  16. 16
    Contribution History as a Key Feature in OSS Task Recommendation: An LLM-Based Empirical Study
    Md Abdul Hannan
    ,
    Mohammad Habibullah Rakib
    ,
    Khondaker Masfiq Reza
    ,
    Fabio Santos
  17. 17
    Dealing with SonarQube Cloud: Initial Results from a Mining Software Repository Study
    Sabato Nocera
    ,
    Davide Fucci
    ,
    Giuseppe Scanniello
  18. 18
    Developer Prompts in Practice: An Empirical Study of Bias, Security, and Optimization
    Dhia Elhaq Rzig
    ,
    Dhruba Jyothi Paul
    ,
    Kaiser Pister
    ,
    Jordan Henkel
    ,
    Foyzul Hassan
  19. 19
    Empirical Insights into Microservice Language Heterogeneity in Practice
    Amr S. Abdelfattah
    ,
    Tomás Cerný
    ,
    Marwa Elsayed
  20. 20
    Explainable AI for Identifying and Managing Test Debt in Automated Testing
    Mahsa Radnejad
  21. 21
    Exploring Engagement in Hybrid Meetings
    Daniela Grassi
    ,
    Fabio Calefato
    ,
    Darja Smite
    ,
    Nicole Novielli
    ,
    Filippo Lanubile
  22. 22
    Exploring Large Language Models for Analyzing and Improving Method Names in Scientific Code
    Gunnar Larsen
    ,
    Carol Wong
    ,
    Anthony Peruma
  23. 23
    Exploring LLMs for Stakeholder-Specific Insight Generation from Software Contracts
    Jyoti S. Shukla
    ,
    Aditya Kahol
    ,
    Mohit Chaudhary
    ,
    Preethu Rose Anish
  24. 24
    Exploring the Evidence-Based SE Beliefs of Generative AI Tools
    Chris Brown
    ,
    Jason Cusati
  25. 25
    Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities
    Wenyuan Jiang
    ,
    Diany Pressato
    ,
    Harsh Darji
    ,
    Thibaud Lutellier
  26. 26
    From Assessment to Enhancement of Pull Requests at Scale: Aligning Code Reviews with Developer Competencies Using Large Language Models
    Luca Mariotto
    ,
    Christian Medeiros Adriano
    ,
    René Eichhorn
    ,
    Daniel Burgstahler
    ,
    Holger Giese
  27. 27
    Go-Oracle: Automated Test Oracle for Go Concurrency Bugs
    Foivos Tsimpourlas
    ,
    Chao Peng
    ,
    Carlos Rosuero
    ,
    Ping Yang
    ,
    Ajitha Rajan
  28. 28
    How do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
    Shamse Tasnim Cynthia
    ,
    Nuri Almarimi
    ,
    Banani Roy
  29. 29
    How Do Programmers Evaluate AI-Generated Code?
    Samuli Määttä
  30. 30
    How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair
    Kazuki Kusama
    ,
    Honglin Shu
    ,
    Masanari Kondo
    ,
    Yasutaka Kamei
  31. 31
    Human Factors in Industrial Software Engineering - A Theory-Based Empirical Study Focused on Challenges in the Context of Software Quality and Cyber Resilience
    Philipp A. Müller
  32. 32
    Identifier Name Similarities: An Exploratory Study
    Carol Wong
    ,
    Mai Abe
    ,
    Silvia De Benedictis
    ,
    Marissa Halim
    ,
    Anthony Peruma
  33. 33
    Interrogative Comments Posed by Review Comment Generators: An Empirical Study of Gerrit
    Farshad Kazemi
    ,
    Maxime Lamothe
    ,
    Shane McIntosh
  34. 34
    Invisible Risks, Visible Code: A Vision for Understanding Ethical Debt in AI-Based Coding
    Dina Salah
  35. 35
    Is Diversity a Meaningful Metric in Fairness Testing?
    Kazuki Funamoto
    ,
    Takashi Kitamura
    ,
    Shingo Takada
  36. 36
    Is LLM-Generated Code More Maintainable & Reliable Than Human-Written Code?
    Alfred Santa Molison
    ,
    Marcia Moraes
    ,
    Glaucia Melo
    ,
    Fabio Santos
    ,
    Wesley K. G. Assunção
  37. 37
    Mapping Code Smells and Refactorings Accurately: Insights from an Empirical Study
    Gautam Shetty
    ,
    Tushar Sharma
  38. 38
    On the Harmfulness of Test Smells in Manual System Testing: A Controlled Experiment
    Gabriela Soares
    ,
    Vanessa Santos
    ,
    Márcio Ribeiro
    ,
    Luana Almeida Martins
    ,
    Valeria Pontillo
    ,
    Manoel Aranda III
    ,
    Rohit Gheyi
    ,
    Ivan Machado
    ,
    Fabio Palomba
  39. 39
    One Size Does Not Fit All: How to Organize Hybrid Work in Agile Software Development?
    Fateme Broomandi
    ,
    Emily Laue Christensen
    ,
    Maria Paasivaara
  40. 40
    Perspectives, Needs and Challenges for Sustainable Software Engineering Teams: A FinServ Case Study
    Satwik Ghanta
    ,
    Peggy Gregory
    ,
    Gül Çalikli
  41. 41
    Project OSCAR: Promoting CrOss-Cutting Digital Skills Through Europe-Wide Non-Conventional LeARning Experiences
    Ilenia Fronza
    ,
    Tommi Mikkonen
  42. 42
    Rethinking Code Review Workflows with LLM Assistance: An Empirical Study
    Fannar Steinn Aðalsteinsson
    ,
    Björn Borgar Magnússon
    ,
    Mislav Milicevic
    ,
    Adam Nirving Davidsson
    ,
    Chih-Hong Cheng
  43. 43
    Robust or Overfitted? Investigating the Generalization of Pretrained Models in Requirement Classification
    Farha Kamal
    ,
    Md. Rakibul Islam
  44. 44
    ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells
    Samal Nursapa
    ,
    Anastassiya Samuilova
    ,
    Alessio Bucaioni
    ,
    Phuong T. Nguyen
  45. 45
    Secret Breach Detection in Source Code with Large Language Models
    Md Nafiu Rahman
    ,
    Sadif Ahmed
    ,
    Zahin Wahab
    ,
    S. M. Sohan
    ,
    Rifat Shahriyar
  46. 46
    Secure Software Engineering Through Sensible AutoMation (SESAM)
    Davide Fucci
  47. 47
    SESR-Eval: Dataset for Evaluating LLMs in the Title-Abstract Screening of Systematic Reviews
    Aleksi Huotala
    ,
    Miikka Kuutila
    ,
    Mika Mäntylä
  48. 48
    SIExVulTS: Sensitive Information Exposure Vulnerability Detection System Using Transformer Models and Static Analysis
    Kyler Katz
    ,
    Sara Moshtari
    ,
    Ibrahim Mujhid
    ,
    Mehdi Mirakhorli
    ,
    Derek Garcia
  49. 49
    The Shifting Sands of Toxicity: The Evolving Nature of Interpersonal Challenges in Open Source
    Sarthak Bharadwaj
    ,
    Fabio Santos
    ,
    Bianca Trinkenreich
  50. 50
    Threat Modeling for Large Language Model-Integrated Applications (Thremolia)
    Felix Viktor Jedrzejewski
    ,
    Oleksandr Adamov
    ,
    Davide Fucci