ESEIW 2025
Sun 28 September - Fri 3 October 2025
Dates
Tracks
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Thu 2 Oct

Displayed time zone: Hawaii change

10:10 - 11:10
Teamwork, Hybrid Work, and Team ChallengesESEM - Technical Track / ESEM - Industry, Government, and Community Track / ESEM - Journal First Track / at Kaiulani I
Chair(s): Fabio Santos Northern Arizona University
10:10
15m
Talk
Beyond the Job Posting: What Hiring Managers Really Seek in Entry-Level CS Candidates
ESEM - Industry, Government, and Community Track
Spencer Balouga Loufek Hewlett-Packard Enterprise, Fabio Marcos De Abreu Santos Colorado State University, USA, Bianca Trinkenreich Colorado State University
10:25
15m
Talk
Software solutions for newcomers’ onboarding in software projects: A systematic literature review
ESEM - Journal First Track
Italo Santos University of Hawai‘i at Mānoa, Katia Romero Felizardo Federal University of Technology - Paraná (UTFPR), Igor Steinmacher RESHAPE LAB, Northern Arizona University, USA, Marco Gerosa Northern Arizona University
10:40
15m
Talk
Exploring Engagement in Hybrid Meetings
ESEM - Technical Track
Daniela Grassi University of Bari, Fabio Calefato University of Bari, Darja Šmite Blekinge Institute of Technology, Nicole Novielli University of Bari, Filippo Lanubile University of Bari
Pre-print
10:55
15m
Talk
One Size Does Not Fit All: How To Organize Hybrid Work In Agile Software Development?
ESEM - Technical Track
Fateme Broomandi LUT University, Emily Laue Christensen LUT University, Maria Paasivaara LUT University, Finland & Aalto University, Finland
10:10 - 11:10
Evidence and Research Quality in Software EngineeringESEM - Technical Track / ESEM - Emerging Results and Vision Track / ESEM - Journal First Track / at Kaiulani II
Chair(s): Mika Mäntylä University of Helsinki and University of Oulu
10:10
15m
Talk
Cognitive Biases in Software Engineering: Debiasing through Reconception
ESEM - Emerging Results and Vision Track
Heidi Hietala M3S, University of Oulu, Burak Turhan University of Oulu
10:25
15m
Talk
Exploring the Evidence-Based Beliefs of LLM-Based Programming Assistants
ESEM - Emerging Results and Vision Track
Chris Brown Virginia Tech, Jason Cusati Virginia Tech
10:40
15m
Talk
Research artifacts for human-oriented experiments in software engineering: An ACM badges-driven structure proposal
ESEM - Journal First Track
Cathy Guevara-Vega Universidad Técnica del Norte, Beatriz Bernárdez University of Seville, Margarita Cruz Risco University of Seville, Amador Durán University of Seville, Antonio Ruiz-Cortés University of Seville, Martín Solari Universidad ORT Uruguay
10:55
15m
Talk
Aggregating empirical evidence from data strategies studies: a case on model quantization
ESEM - Technical Track
Santiago del Rey Universitat Politècnica De Catalunya - Barcelona Tech, Paulo Sérgio Medeiros Federal University of the State of Rio de Janeiro (UNIRIO), Guilherme Horta Travassos Federal University of Rio de Janeiro, Xavier Franch Universitat Politècnica de Catalunya, Silverio Martínez-Fernández UPC-BarcelonaTech
Pre-print
11:30 - 12:40
11:30
14m
Talk
Toward Real-Time Intrusion Detection for Autonomous Vehicles: A Vision for Deep Learning-Based Security Frameworks
ESEM - Emerging Results and Vision Track
Damiano Torre University of Washington, Tacoma, Amirpasha Javid Quanser Consulting Inc
11:44
14m
Talk
Toward Enhancing Privacy Preservation of a Federated Learning CNN Intrusion Detection System in IoT: Method and Empirical Study
ESEM - Journal First Track
Damiano Torre University of Washington, Tacoma, Anitha Chennamaneni Texas A&M University - Central Texas, Jaeyun Jo Texas A&M University - Central Texas, Gitika Vyas Texas A&M University - Central Texas, Brandon Sabrsula Texas A&M University - Central Texas
11:58
14m
Talk
Secure software Engineering through Sensible AutoMation (SESAM)
ESEM - Research Projects Track
Davide Fucci Blekinge Institute of Technology
12:12
14m
Talk
Threat Modeling for Large Language Model-Integrated Applications (ThreMoLIA)
ESEM - Research Projects Track
Felix Viktor Jedrzejewski Blekinge Institute of Technology, Oleksandr Adamov Blekinge Institute of Technology, Davide Fucci Blekinge Institute of Technology
12:26
14m
Talk
SIExVulTS: Sensitive Information Exposure Vulnerability Detection System using Transformer Models and Static Analysis
ESEM - Technical Track
Kyler Katz University of Hawaii at Manoa, Sara Moshtari University of Hawaii at Manoa, Ibrahim Mujhid University of Hawaii at Manoa, Mehdi Mirakhorli University of Hawaii at Manoa
11:30 - 12:40
11:30
17m
Talk
Succes and Failure Factors of Generative AI in a Chat Application of Dutch Railways
ESEM - Industry, Government, and Community Track
Elise Peusen Utrecht University of Applied Sciences, Leo van der Meulen NS, Hennie Huijgens Utrecht University of Applied Sciences, Lucque Schmeitz Utrecht University of Applied Sciences
11:47
17m
Talk
Evaluating Generative AI Tools for Personalised Offline Recommendations: A Comparative Study
ESEM - Registered Reports Track
Rafael Salinas Universidad de Cuenca, Otto Parra Universidad de Cuenca, Condori-Fernandez Nelly Universidad de Santiago de Compostela, Maria Fernanda Granda Juca Universidad de Cuenca
12:05
17m
Talk
Using Biometrics to Understand AI-Assisted Coding Performance and its Perception: a Registered Report
ESEM - Registered Reports Track
Nadja Brix Koch IT University of Copenhagen, Theis Helth Stensgaard IT University of Copenhagen, Paolo Tell IT University of Copenhagen, Denmark, Paolo Burelli IT University of Copenhagen, Guillaume Andrea Desaphy University of Bari, Alberto Antonio Romano University of Bari, Nicole Novielli University of Bari, Fabio Calefato University of Bari
Pre-print
12:22
17m
Talk
Developer Prompts in Practice: An Empirical Study of Bias, Security, and Optimization
ESEM - Technical Track
Dhia Elhaq Rzig University of Michigan - Dearborn, Dhruba Jyoti Paul University of Wisconsin-Madison, Kaiser Pister Univeristy of Wisconsin-Madison, Jordan Henkel Sema4.ai, Foyzul Hassan University of Michigan at Dearborn
13:50 - 14:50
13:50
15m
Talk
Contribution History as a Key Feature in OSS Task Recommendation: an LLM-Based Empirical Study
ESEM - Emerging Results and Vision Track
Md Abdul Hannan Colorado State University, Mohammad Habibullah Rakib Colorado State University, Khondaker Masfiq Reza Colorado State University, Fabio Marcos De Abreu Santos Colorado State University, USA
14:05
15m
Talk
Exploring LLMs for Stakeholder-Specific Insight Generation from Software Contracts
ESEM - Industry, Government, and Community Track
Jyoti Shukla TCS Research, Aditya Kahol TCS Research, Mohit Chaudhary TCS Research, Preethu Rose Anish TCS Research
14:20
15m
Talk
Benchmarking large language models for automated labeling: The case of issue report classification
ESEM - Journal First Track
Giuseppe Colavito University of Bari, Italy, Filippo Lanubile University of Bari, Nicole Novielli University of Bari
Link to publication
14:35
15m
Talk
Secret Breach Detection in Source Code with Large Language Models
ESEM - Technical Track
Md Nafiu Rahman Bangladesh University of Engineering and Techonology, Sadif Ahmed Bangladesh University of Engineering and Techonology, Zahin Wahab The University of British Columbia, S. M. Sohan Google Inc, Rifat Shahriyar Bangladesh University of Engineering and Technology Dhaka, Bangladesh
Pre-print
13:50 - 14:50
13:50
15m
Talk
When Retriever Meets Generator: A Joint Model for Code Comment Generation
ESEM - Emerging Results and Vision Track
Tien L. T. Pham Hanoi University of Science and Technology, Anh M. T. Bui Hanoi University of Science and Technology, Huy N. D. Pham AI Young Talent Academy (AI4Life), Hanoi University of Science and Technology, Alessio Bucaioni Malardalen University, Phuong T. Nguyen University of L’Aquila
Pre-print
14:05
15m
Talk
From Assessment to Enhancement of Pull Requests at Scale: Aligning Code Reviews with Developer Competencies Using Large Language Models
ESEM - Industry, Government, and Community Track
Luca Mariotto Hasso-Plattner Institute, Christian Medeiros Adriano Hasso Plattner Institute, University of Potsdam, René Eichhorn Mercedes-Benz Tech Innovation, Daniel Burgstahler Mercedes-Benz Tech Innovation, Holger Giese Hasso Plattner Institute, University of Potsdam
14:20
15m
Talk
Rethinking Code Review Workflows with LLM Assistance: An Empirical Study
ESEM - Industry, Government, and Community Track
Fannar Steinn Aðalsteinsson WirelessCar Sweden AB & Chalmers University of Technology, Björn Borgar Magnússon WirelessCar Sweden AB, Mislav Milicevic WirelessCar Sweden AB, Adam Nirving Davidsson WirelessCar Sweden AB, Chih-Hong Cheng Carl von Ossietzky Universität Oldenburg & Chalmers University of Technology
14:35
15m
Talk
Interrogative Comments Posed by Review Comment Generators: An Empirical Study of Gerrit
ESEM - Technical Track
Farshad Kazemi University of Waterloo, Maxime Lamothe Polytechnique Montreal, Shane McIntosh University of Waterloo
Pre-print
14:50 - 15:30
Software Requirements and User FeedbackESEM - Technical Track / ESEM - Emerging Results and Vision Track / at Kaiulani I
Chair(s): Davide Fucci Blekinge Institute of Technology
14:50
13m
Talk
Robust or Overfitted? Investigating the Generalization of Pretrained Models in Requirement Classification.
ESEM - Emerging Results and Vision Track
Farha Kamal Lamar University, Md Rakibul Islam Lamar University
15:03
13m
Talk
Can User Feedback Help Issue Detection? An Empirical Study on a One-billion-user Online Service System
ESEM - Technical Track
Shuyao Jiang The Chinese University of Hong Kong, Jiazhen Gu Chinese University of Hong Kong, Wujie Zheng Tencent, Inc., Yangfan Zhou Fudan University, Michael Lyu The Chinese University of Hong Kong
Pre-print
15:16
13m
Talk
Using Voting and Stacking Ensemble Techniques to Optimize Software Requirements Classification
ESEM - Technical Track
Maria Isabel Limaylla Lunarejo Universidade da Coruña, Condori-Fernandez Nelly Universidad de Santiago de Compostela, Miguel Rodríguez Luaces Universidade da Coruña, CITIC, Database Lab
14:50 - 15:30
Software BugsESEM - Technical Track / at Kaiulani II
Chair(s): Shane McIntosh University of Waterloo
14:50
13m
Talk
Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities
ESEM - Technical Track
Wenyuan Jiang ETH Zürich, Diany Pressato Concordia University, Harsh Darji University of Alberta, Thibaud Lutellier University of Alberta
Pre-print
15:03
13m
Talk
Go-Oracle: Automated Test Oracle for Go Concurrency Bugs
ESEM - Technical Track
Foivos Tsimpourlas University of Edinburgh, Chao Peng ByteDance, Carlos Rosuero University of Edinburgh, Ping Yang Bytedance Network Technology, Ajitha Rajan The University of Edinburgh
15:16
13m
Talk
What About Our Bug? A Study on the Responsiveness of NPM Package Maintainers
ESEM - Technical Track
Mohammadreza Saeidi University of British Columbia, Raula Gaikovina Kula The University of Osaka, Gema Rodriguez-Perez The University of British Columbia, Ethan Thoma UBC, Computer Science
16:00 - 17:30
16:00
90m
Meeting
TownHall Meeting

Fri 3 Oct

Displayed time zone: Hawaii change

08:30 - 09:30
Keynote at Queen Liliuokalani
Chair(s): Valentina Lenarduzzi University of Oulu
08:30
60m
Keynote
Industry can get any empirical research it wants
Tim Menzies North Carolina State University
Link to publication Pre-print
09:40 - 11:00
Technical Debt, Smells and RefactoringESEM - Technical Track / ESEM - Emerging Results and Vision Track / at Kaiulani I
Chair(s): Valentina Lenarduzzi University of Oulu
09:40
20m
Talk
ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells
ESEM - Emerging Results and Vision Track
Samal Nursapa Mälardalen University, Anastassiya Samuilova Mälardalen University, Alessio Bucaioni Malardalen University, Phuong T. Nguyen University of L’Aquila
Pre-print
10:00
20m
Talk
How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
ESEM - Technical Track
Shamse Tasnim Cynthia University of Saskatchewan, Nuri Almarimi University of Saskatchewan, Banani Roy University of Saskatchewan
10:20
20m
Talk
Mapping Code Smells and Refactorings Accurately: Insights from an Empirical Study
ESEM - Technical Track
Gautam Shetty Dalhousie University, Tushar Sharma Dalhousie University
Pre-print File Attached
10:40
20m
Talk
On the Harmfulness of Test Smells in Manual System Testing: A Controlled Experiment
ESEM - Technical Track
Gabriela Soares Federal University of Alagoas, Vanessa Santos Federal University of Alagoas, Márcio Ribeiro Federal University of Alagoas, Brazil, Luana Martins University of Salerno, Valeria Pontillo Gran Sasso Science Institute, Manoel Aranda III Federal University of Alagoas, Rohit Gheyi Federal University of Campina Grande, Ivan Machado , Fabio Palomba University of Salerno
09:40 - 11:00
Culture, Collaboration, and Recognition in Software TeamsESEM - Research Projects Track / ESEM - Journal First Track / ESEM - Technical Track / at Kaiulani II
Chair(s): Bianca Trinkenreich Colorado State University
09:40
16m
Talk
A lot of talk and a badge: An exploratory analysis of personal achievements in GitHub
ESEM - Journal First Track
Fabio Calefato University of Bari, Luigi Quaranta University of Bari, Italy, Filippo Lanubile University of Bari
Link to publication DOI
09:56
16m
Talk
OSCAR: promoting crOss-cutting digital Skills through Europe-wide non-Conventional leARning experiences
ESEM - Research Projects Track
Ilenia Fronza Free University of Bozen/Bolzano, Italy, Tommi Mikkonen University of Jyvaskyla
10:12
16m
Talk
Perspectives, Needs and Challenges for Sustainable Software Engineering Teams: A FinServ Case Study
ESEM - Technical Track
Satwik Ghanta University of Glasgow, Peggy Gregory University of Glasgow, UK, Gül Calikli University of Glasgow
10:28
16m
Talk
The Shifting Sands of Toxicity: The Evolving Nature of Interpersonal Challenges in Open Source
ESEM - Technical Track
Sarthak Siddhant Bharadwaj Colorado State University, Fabio Marcos De Abreu Santos Colorado State University, USA, Bianca Trinkenreich Colorado State University
10:44
16m
Talk
When Domains Collide: An Activity Theory Exploration of Cross-Disciplinary Collaboration
ESEM - Technical Track
Zixuan Feng Oregon State University, USA, Thomas Zimmermann University of California, Irvine, Lorenzo Pisani Microsoft Research, Christopher Gooley Microsoft Research, Jeremiah Wander Microsoft Research, Anita Sarma Oregon State University
Pre-print
11:20 - 12:50
Systematic Reviews and Evidence-Based SEESEM - Technical Track / ESEM - Registered Reports Track / ESEM - Emerging Results and Vision Track / at Kaiulani I
Chair(s): Nauman Bin Ali Blekinge Institute of Technology
11:20
18m
Talk
A Preliminary Assessment of SLR’s Reliance on Preprints, in the area of LLMs4SE
ESEM - Emerging Results and Vision Track
Sarah Buckley University of Limerick, Abdul Razzaq Computer Science and Information Systems, University of Limerick, Michael English Computer Science and Information Systems, University of Limerick
11:38
18m
Talk
Investigating the Use of LLMs for Evidence Briefings Generation in Software Engineering
ESEM - Registered Reports Track
Mauro Marcelino Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Marcos Alves FITec Technological Innovations, Bianca Trinkenreich Colorado State University, Bruno Cartaxo IFPE, Sérgio Soares Universidade Federal de Pernambuco, Simone Barbosa PUC-Rio, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio)
11:56
18m
Talk
Another Systematic Review? A Critical Analysis of Systematic Literature Reviews on Agile Effort and Cost Estimation
ESEM - Technical Track
Henry Edison Blekinge Institute of Technology, Nauman Ali Blekinge Institute of Technology
12:14
18m
Talk
Assessing diversity in creating seed set for snowballing search for systematic literature review in software engineering
ESEM - Technical Track
Katia Romero Felizardo Federal University of Technology - Paraná (UTFPR), Francisco Carlos M. Souza Universidade Tecnológica Federal do Paraná (UTFPR), Alinne C. Corrêa Souza Universidade Tecnológica Federal do Paraná (UTFPR), Igor Steinmacher RESHAPE LAB, Northern Arizona University, USA, Marco Gerosa Northern Arizona University
12:32
18m
Talk
SESR-Eval: Dataset to Evaluate LLMs in the Screening Process of Systematic Reviews
ESEM - Technical Track
Aleksi Huotala University of Helsinki, Miikka Kuutila Dalhousie University, Mika Mäntylä University of Helsinki and University of Oulu
Pre-print
11:20 - 12:50
Architectures, Infrastructure, and Tools for Modern DevelopmentESEM - Technical Track / ESEM - Industry, Government, and Community Track / at Kaiulani II
Chair(s): Davide Taibi University of Oulu
11:20
22m
Talk
Empirical Insights into Microservice Language Heterogeneity in Practice
ESEM - Industry, Government, and Community Track
Amr Elsayed The University of Arizona, Tomas Cerny University of Arizona, Marwa Saad IBM
11:42
22m
Talk
A Defect Taxonomy for Infrastructure as Code Scripts: A Replication Study
ESEM - Technical Track
Wendell Oliveira Federal University of Campina Grande, Brazil, Filipe Paiva Federal University of Campina Grande, Thiago Emmanuel Pereira Federal University of Campina Grande, João Brunet Federal University of Campina Grande
Pre-print
12:05
22m
Talk
Understanding Everything as Code: A Taxonomy and Conceptual Model
ESEM - Technical Track
Haoran Wei Western University, Nazim Madhavji Western University, John Steinbacher IBM
Pre-print
12:27
22m
Talk
We Know What You're Looking For: Recommendation for Large-Scale Open Source Software
ESEM - Technical Track
Xing Cui Institute of Software, Chinese Academy of Sciences, Jingzheng Wu Institute of Software, The Chinese Academy of Sciences, Xiang Ling Institute of Software, Chinese Academy of Sciences, Tianyue Luo Institute of Software, Chinese Academy of Sciences
14:00 - 15:20
LLMs for Code Generation, Translation, and MaintainabilityESEM - Technical Track / ESEM - Emerging Results and Vision Track / at Kaiulani I
Chair(s): Ivan Machado Federal University of Bahia - UFBA
14:00
20m
Talk
A Fully Automated Agent for End-to-End Code Translation and Validation
ESEM - Emerging Results and Vision Track
Eray Erer Boğaziçi University, Ayşe Başar Toronto Metropolitan University, Toronto, Canada, Aysun Bozanta Bogazici University, Turgay Aytac Comunale Capital
14:20
20m
Talk
Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
ESEM - Emerging Results and Vision Track
Bo Xiong Wuhan University, Linghao Zhang Wuhan University, Chong Wang Wuhan University, Peng Liang Wuhan University, China
Pre-print
14:40
20m
Talk
How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair
ESEM - Emerging Results and Vision Track
Kazuki Kusama , Honglin Shu Kyushu University, Masanari Kondo Kyushu University, Yasutaka Kamei Kyushu University
15:00
20m
Talk
Is LLM-Generated Code More Maintainable & Reliable than Human-Written Code?
ESEM - Technical Track
Alfred Santa Molison Toronto Metropolitan University, Fabio Marcos De Abreu Santos Colorado State University, USA, Marcia Moraes Colorado State University, Glaucia Melo Toronto Metropolitan University, Wesley Assunção North Carolina State University
14:00 - 15:20
14:00
16m
Talk
An Empirical Investigation into Maintenance of Load Testing Scripts
ESEM - Emerging Results and Vision Track
Ibuki Nakamura Nara Institute of Science and Technology, Kosei Horikawa Nara Institute of Science and Technology, Brittany Reid Nara Institute of Science and Technology, Yutaro Kashiwa Nara Institute of Science and Technology, Hajimu Iida Nara Institute of Science and Technology
14:16
16m
Talk
A Vision for Debiasing Confirmation Bias in Software Testing via LLM
ESEM - Emerging Results and Vision Track
Iflaah Salman Lappeenranta-Lahti University of Technology (LUT), Muhammad Waseem Faculty of Information Technology and Communication Sciences, Tampere University, 33014 Tampere, Finland, Vladimir Mandić Faculty of Technical Sciences, University of Novi Sad, Rasanjana Dhanushkha De Alwis Lappeenranta-Lahti University of Technology LUT
14:32
16m
Talk
Comparing effectiveness and efficiency of interactive application security testing (IAST) and runtime application self-protection (RASP) tools in a large java-based system
ESEM - Journal First Track
Aishwwarya Seth Microsoft, Saikath Bhattacharya Illinois State University, Sarah Elder UNC-Wilmington, Nusrat Zahan North Carolina State University, Laurie Williams North Carolina State University
14:48
16m
Talk
Is Diversity a Meaningful Metric in Fairness Testing?
ESEM - Technical Track
Kazuki Funamoto Keio University, Takashi Kitamura AIST, Shingo Takada Keio University, Japan
15:04
16m
Talk
Where Tests Fall Short: Empirically Analyzing Oracle Gaps in Covered Code
ESEM - Technical Track
Megan Maton University of Sheffield, Gregory Kapfhammer Allegheny College, Phil McMinn University of Sheffield
15:40 - 17:00
Responsible and Inclusive AI in Software EngineeringESEM - Emerging Results and Vision Track / ESEM - Journal First Track / ESEM - Registered Reports Track / ESEM - Technical Track / at Kaiulani I
Chair(s): Italo Santos University of Hawai‘i at Mānoa
15:40
16m
Talk
Invisible Risks, Visible Code: A Vision for Understanding Ethical Debt in AI-Based Coding
ESEM - Emerging Results and Vision Track
Dina Salah City St George’s, University of London
15:56
16m
Talk
"Is It Responsible?" Emerging Results on Comparing Guardrails for Harm Mitigation in LLM-enhanced Software Applications
ESEM - Emerging Results and Vision Track
Manoel Veríssimo dos Santos Neto Universidade Federal de Goiás (UFG), Mohamad Kassab Boston University, USA, Arlindo Galvão Universidade Federal de Goiás, Valdemar Vicente Graciano Neto Universidade Federal de Goiás (UFG), Edson OliveiraJr State University of Maringá
16:12
16m
Talk
Trust, Transparency, and Adoption in Generative AI for Software Engineering: Insights from Twitter Discourse
ESEM - Journal First Track
Manaal Ramadan Basha The University of British Columbia, Gema Rodriguez-Perez The University of British Columbia
16:28
16m
Talk
Toward Inclusive AI-Driven Development: Exploring Gender Differences in Code Generation Tool Interactions
ESEM - Registered Reports Track
Manaal Ramadan Basha The University of British Columbia, Ivan Beschastnikh The University of British Columbia, Gema Rodriguez-Perez The University of British Columbia, Cleidson de Souza Universidade Federal do Pará
16:44
16m
Talk
Beyond Binary Moderation: Identifying Fine-Grained Sexist and Misogynistic Behavior on GitHub with Large Language Models
ESEM - Technical Track
Tanni Dev Wayne State University, Sayma Sultana Wayne State University, Amiangshu Bosu Wayne State University
15:40 - 17:00
Program Comprehension and Review 2ESEM - Emerging Results and Vision Track / at Kaiulani II
Chair(s): Chris Brown Virginia Tech
15:40
26m
Talk
Dealing with SonarQube Cloud: Initial Results from a Mining Software Repository Study
ESEM - Emerging Results and Vision Track
Sabato Nocera University of Salerno, Davide Fucci Blekinge Institute of Technology, Giuseppe Scanniello University of Salerno
16:06
26m
Talk
Exploring Large Language Models for Analyzing and Improving Method Names in Scientific Code
ESEM - Emerging Results and Vision Track
Gunnar Larsen University of Hawaii at Manoa, Carol Wong University of Hawaii at Manoa, Anthony Peruma University of Hawai‘i at Mānoa
Pre-print
16:33
26m
Talk
Identifier Name Similarities: An Exploratory Study
ESEM - Emerging Results and Vision Track
Carol Wong University of Hawaii at Manoa, Mai Abe University of Hawai‘i at Mānoa, Silvia De Benedictis University of Hawai‘i at Mānoa, Marissa Halim University of Hawai‘i at Mānoa, Anthony Peruma University of Hawai‘i at Mānoa
17:00 - 17:30
Closing at Queen Liliuokalani
Chair(s): Valentina Lenarduzzi University of Oulu, Daniel Port University of Hawai‘i at Mānoa, Fabio Q. B. da Silva Federal University of Pernambuco
17:00
30m
Talk
Closing Ceremony

Call for Registrations

The Empirical Software Engineering Journal (EMSE), in conjunction with the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), is continuing the RR track. The RR track of ESEM 2025 has two goals:
1. To prevent HARKing (hypothesizing after the results are known) for empirical studies.
2. To provide early feedback to authors in their initial study design.

Each paper must have at least one author registered as a full (non-student) participant by the early registration deadline. If a RR does not have an author registered by this date, the RR will be withdrawn from the conference and will not be considered for stage 2.

For papers submitted to the RR track, methods and proposed analyses are reviewed prior to execution. Pre-registered studies follow a two-step process:

Stage 1:

A report is submitted that describes the planned study. The submitted report is evaluated by the reviewers of the RR track of ESEM 2025. Authors of accepted pre-registered studies will be given the opportunity to present their work at ESEM.

Stage 2:

Once a report has passed Phase 1, the study will be conducted, and actual data collection and analysis take place. The results may also be negative! The full paper is submitted for review to EMSE.


Paper Types, Evaluation Criteria, and Acceptance Types

The RR track of ESEM 2025 supports two types of papers:

Confirmatory

The researcher has a fixed hypothesis (or several fixed hypotheses), and the objective of the study is to determine whether the hypothesis is supported by the facts/data.

Example of a completed confirmatory study:

Inozemtseva, L., & Holmes, R. (2014, May). Coverage is not strongly correlated with test suite effectiveness. In Proceedings of the 36th International Conference on Software Engineering (pp. 435-445).


Exploratory

The researcher does not have a hypothesis (or has one that may change during the study). Often, the objective is to understand what is observed and answer questions such as WHY, HOW, WHAT, WHO, or WHEN.

This category also includes registrations where the researcher has an initial proposed solution for an automated approach (e.g., a new deep-learning defect prediction approach) that serves as a starting point for exploration.

Examples of completed exploratory studies:

Gousios, G., Pinzger, M., & Deursen, A. V. (2014, May). An exploratory study of the pull-based software development model. In Proceedings of the 36th International Conference on Software Engineering (pp. 345-355).

Rodrigues, I. M., Aloise, D., Fernandes, E. R., & Dagenais, M. (2020, June). A Soft Alignment Model for Bug Deduplication. In Proceedings of the 17th International Conference on Mining Software Repositories (pp. 43-53).


Evaluation Criteria

Reviewers will evaluate RR track submissions based on:

  • The importance of the research question(s).
  • The logic, rationale, and plausibility of the proposed hypotheses.
  • The soundness and feasibility of the methodology and analysis pipeline (including statistical power analysis where appropriate).
  • For confirmatory studies:
    • Whether the clarity and degree of methodological detail are sufficient to exactly replicate the proposed experimental procedures and analysis pipeline.
    • Whether authors have pre-specified sufficient outcome-neutral tests (including positive controls and quality checks).
  • For exploratory studies (if applicable):
    • Description of the dataset that forms the base for exploration.

Review Outcomes

The outcome of the RR review is one of the following:

1. In-Principle Acceptance (IPA)

The reviewers agree that the study is relevant, the outcome (whether confirming or rejecting the hypothesis) is of interest to the community, the protocol for data collection is sound, and the analysis methods are adequate. The authors can engage in the actual study for Stage 2.

  • If the protocol is adhered to, the study is published.

  • Since this is a journal submission, revisions may be necessary.

  • Reviewers will evaluate whether the accepted protocol was followed or deviations were justified.

2. Continuity Acceptance (CA)

The reviewers agree that the study is relevant, and the (initial) methods appear appropriate. However, for exploratory studies, implementation details and post-experiment analyses may require follow-up checks.

  • Reviewers from Stage 1 will try to review Stage 2 submissions.

  • Four (4) PC members will review Stage 1, and three (3) will review Stage 2.

3. Rejection

The reviewers do not agree on the relevance of the study or are not convinced that the study design is sufficiently mature.

  • Authors receive comments to improve the study design before starting it.

Important Note

For ESEM 2025, only confirmatory studies are granted an IPA.

  • Exploratory studies in software engineering often cannot be adequately assessed until after completion.

  • Negative results are welcome, but papers must go beyond simply stating “we tried and failed.”

    • Instead, they should analyze why the results are negative and what that means for further studies.
  • Authors must document all deviations (if any) in a section of the paper.


Submission Process and Instructions

Timeline for ESEM 2025 RR Track

  • Mon 14 April 2025: Initial report submission (max 6 pages + 1 page references, strict limit).
  • Mon 5 May 2025: PC members provide reviews.
  • Mon 26 May 2025: Authors submit a response letter + revised report (max 12 pages + 1 page references).
  • The response letter should address reviewer comments.
  • The response letter does not need to follow ACM formatting.
  • Mon 23 June 2025: Notification of Stage 1 outcome (IPA, CA, or rejection).
  • Mon 21 July 2025: Accepted RR reports must be submitted to arXiv.
  • PC members check them for Stage 2.
  • RR reports will not be published in the ESEM 2025 proceedings.
  • Before Mon 13 April 2026: Full paper submission to EMSE.

Submission Guidelines

  • All submissions must be in English.
  • PDF format only, submitted via EasyChair.
  • Must be formatted using the IEEE conference template:
  • IEEE Template
  • Overleaf Template
  • Submission site: EasyChair.

  • Failure to follow submission guidelines may lead to desk rejection.

Ethics and Plagiarism Policy

By submitting, authors agree to follow:

  • The ACM Policy and Procedures on Plagiarism.
  • The IEEE Plagiarism FAQ.
  • Papers must not be under review elsewhere while under consideration for ESEM 2025.
  • Chairs may check for double submission and plagiarism using:
  • External plagiarism detection software.
  • Shared lists with other conference PC Chairs.

For any authorship changes between Stage 1 and Stage 2, authors must complete a “Change of Authorship Request Form.”
- The EMSE Editors-in-Chief and RR track chairs may deny author changes.