ESEM Emerging Results, Vision and Reflection Papers TrackESEIW 2024
Call for Papers
The International Symposium on Empirical Software Engineering and Measurement (ESEM) Emerging Results, Vision and Reflection papers track features submissions that describe current work in progress from research or practice. Papers should clearly state the longer-term objectives and outline a plan for working towards those objectives.
Emerging Results communicate initial research results of new ideas to obtain feedback from the empirical software engineering community. Vision papers must describe long-term challenges and opportunities in empirical software engineering research and practice that are outside of current mainstream topics. Reflection papers discuss the current impact and implications of studies published in a partnered journal (TSE, IST, EMSE, JSS, TOSEM) from between 3 and 10 years ago (i.e., 2014-2021).
General Scope of Submissions
Submissions should not be under consideration for publication or presentation elsewhere. In addition to the specific scope of this track, submissions may address any aspect of software engineering but must tackle the problem from an empirical perspective and using a rigorous empirical method, including:
-
Empirical studies using qualitative, quantitative, and mixed methods
-
Cross- and multi-disciplinary methods and studies
-
Formal experiments and quasi-experiments
-
Case studies, action research, ethnography and field studies
-
Survey research
-
Simulation studies
-
Artifact studies
-
Data mining using statistical and machine learning approaches
-
Secondary and tertiary studies including
-
Systematic literature reviews and rapid reviews, that include a strong synthesis part
-
Meta-analyses, and qualitative, quantitative or structured syntheses of studies
-
-
Replication of empirical studies and families of studies
Topics commonly addressed using an empirical approach include, but are not limited to:
-
Evaluation and comparison of software models, tools, techniques, and practices
-
Modeling, measuring, and assessing product or process quality and productivity
-
Continuous software engineering
-
Software verification and validation, including analysis and testing
-
Engineering of software systems which include machine learning components and data dependencies
-
Applications of software engineering to different types of systems and domains (e.g. IoT, Industry 4.0, Context-awareness systems, Cyber-physical systems)
-
Human factors, teamwork, and behavioral aspects of software engineering
We welcome submissions on these research meta-topics:
-
Development, evaluation, and comparison of empirical approaches and methods
-
Infrastructure for conducting empirical studies
-
Techniques and tools for supporting empirical studies
-
Empirically-based decision making
We also welcome submissions that:
-
demonstrate multi-disciplinary work,
-
transfer and apply empirical methods from other disciplines,
-
replication studies, and
-
studies with negative findings.
Important Dates
(All dates are end of the day, anywhere on earth)
Abstract: May 30, 2024
Submission: June 7, 2024
Notification: July 17, 2024 July 22, 2024
Camera-ready: September 6, 2024
How to Submit
Submissions to this track are limited to 6 pages plus one page with references and must be submitted through EasyChair by selecting the track “Emerging Results, Vision and Reflection Papers”. All submissions must be written in English and must be submitted via EasyChair in PDF format.
Please note:
-
Make sure the paper follows the standard ACM Proceedings template (see https://www.acm.org/publications/proceedings-template).
-
Make sure your paper follows the double-blind instructions and does not reveal the authors’ identities.
-
The submission must also comply with the IEEE ethics guidelines IEEE ethics guidelines. In particular, it must not have been published elsewhere and must not be under review elsewhere while under review for ESEM.
The ESEM 2024 Emerging Results, Vision and Reflection Papers track will employ a double-blind review process. Thus, submissions may not reveal their authors’ identities. The authors must make an acceptable effort to honor the double-blind review process. In particular, the authors’ names must be omitted from the submission and references to their prior work should be in the third person. More details on author ethics and peer review can be found at https://conferences.ieeeauthorcenter.ieee.org/.
All submissions will be peer-reviewed by at least three experts from the international program committee of the track and will receive an additional meta-review. Any papers that are outside the scope of the symposium, exceed the maximum number of pages for the respective category, or do not follow the formatting guidelines will be desk rejected without review. The PC members’ bidding information may be used to assess what is considered out of scope.
Finally, please note that each accepted contribution must have a minimum of one author registered by the deadline for the camera-ready submission for their respective paper type. Also, each paper must be presented by one of the authors. Failure to meet these criteria will result in the paper’s removal from the proceedings.
Open Science Policy
Openness in science is key to fostering progress via transparency, reproducibility, and replicability. While all submissions will undergo the same review process independent of whether or not they disclose their tools, data, and code, we expect authors to include a data availability statement in their submissions that either provides links to the open data/replication package or that explains why data cannot be disclosed (e.g., due to the sensitivity of the data or due to existing non-disclosure agreements). We recommend adding the data availability statement in the submission at the end of the introduction section explaining whether and where the data and related material is available and under which conditions the data/material can be accessed. For submissions based on open data sources, the publication of any cleaned or filtered data is mandatory.
To submit your tools, data, and code while still following the double-blind process, please refer to these guidelines.
Authors are requested to share their tools, data, and code in the form of a replication package, and provide explanations on how to use and navigate it.
-
Qualitative studies should provide explanations about the study protocol, coding and transcription schemas, and further relevant information.
-
Quantitative studies should include information about the source code and its main dependencies (incl. version), description of input/output relevant to every step of data cleaning and labeling, feature engineering, model training, and evaluation.
We recommend providing these explanations in the method section of the paper, while further explanations and concrete instructions on how to navigate and use the replication package can be detailed in a README file.
We recommend to:
-
Share pre-prints in a non-commercial repository (e.g., arXiv) using an appropriate license (e.g., arXiv default non-exclusive license, Creative Commons CC-BY). When sharing pre-prints, authors must avoid specifying that the manuscript was submitted to ESEM 2024. We recommend against anonymizing them (i.e., by changing authors, title, abstract). The review committee members are instructed NOT to try to find out the identity of authors.
-
Share replication packages in an archival repository (e.g., Zenodo) using an appropriate license (e.g., based on Creative Commons).
For further information, please refer to “Open Science in Software Engineering” book chapter and feel free to approach the Open Science chairs (Davide Fucci <davide.fucci@bth.se> and Martin Solari <martin.solari@ort.edu.uy>)
Track Co-Chairs
Marcela Genero, University of Castilla-La Mancha, Spain
Lucas Layman, University of North Carolina Wilmington, United States
This program is tentative and subject to change.
Thu 24 OctDisplayed time zone: Brussels, Copenhagen, Madrid, Paris change
11:00 - 12:35 | Open source software and repository miningESEM Technical Papers / ESEM Emerging Results, Vision and Reflection Papers Track at Multimedia (B3 Building - Hall) Chair(s): Davide Taibi University of Oulu | ||
11:00 20mFull-paper | Sustaining Maintenance Labor for Healthy Open Source Software Projects through Human Infrastructure: A Maintainer Perspective ESEM Technical Papers Johan Linåker RISE Research Institutes of Sweden, Georg Link Bitergia, Kevin Lumbard Creighton University | ||
11:20 20mFull-paper | Documenting Ethical Considerations in Open Source AI Models ESEM Technical Papers Haoyu Gao The University of Melbourne, Mansooreh Zahedi The Univeristy of Melbourne, Christoph Treude Singapore Management University, Sarita Rosenstock the University of Melbourne, Marc Cheong the University of Melbourne Pre-print | ||
11:40 20mFull-paper | An Exploratory Mixed-methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software ESEM Technical Papers Lucas Franke Virginia Tech, Huayu Liang Virginia Tech, Sahar Farzanehpour Virginia Tech, Aaron Brantly Virginia Tech, James C. Davis Purdue University, Chris Brown Virginia Tech Pre-print | ||
12:00 20mFull-paper | An Empirical Study of API Misuses of Data-Centric Libraries ESEM Technical Papers Akalanka Galappaththi University of Alberta, Sarah Nadi New York University Abu Dhabi, University of Alberta, Christoph Treude Singapore Management University Pre-print | ||
12:20 15mVision and Emerging Results | Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning ESEM Emerging Results, Vision and Reflection Papers Track Phuong T. Nguyen University of L’Aquila, Juri Di Rocco University of L'Aquila, Claudio Di Sipio University of L'Aquila, Mudita Shakya University of L'Aquila, Davide Di Ruscio University of L'Aquila, Massimiliano Di Penta University of Sannio, Italy Pre-print |
14:00 - 15:30 | Repository miningESEM Journal-First Papers / ESEM IGC / ESEM Technical Papers at Multimedia (B3 Building - Hall) Chair(s): Apostolos Ampatzoglou University of Macedonia | ||
14:00 20mFull-paper | Decoding Android Permissions: A Study of Developer Challenges and Solutions on Stack Overflow ESEM Technical Papers Sahrima Jannat Oishwee University of Saskatchewan, Zadia Codabux University of Saskatchewan, Natalia Stakhanova University of Saskatchewan | ||
14:20 20mFull-paper | Understanding Fairness in Software Engineering: Insights from Stack Exchange Sites ESEM Technical Papers Emeralda Sesari University of Groningen, Federica Sarro University College London, Ayushi Rastogi University of Groningen, The Netherlands DOI Pre-print | ||
14:40 20mFull-paper | Negative Results of Image Processing for Identifying Duplicate Questions on Stack Overflow ESEM Technical Papers | ||
15:00 15mIndustry talk | Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study ESEM IGC Lingzhe Zhang Peking University, China, Tong Jia Institute for Artificial Intelligence, Peking University, Beijing, China, Kangjin Wang Alibaba Group, Mengxi Jia Peking University, Yong Yang , Ying Li School of Software and Microelectronics, Peking University, Beijing, China | ||
15:15 15mJournal Early-Feedback | The upper bound of information diffusion in code review ESEM Journal-First Papers Michael Dorner Blekinge Institute of Technology, Daniel Mendez Blekinge Institute of Technology and fortiss, Krzysztof Wnuk , Ehsan Zabardast Blekinge Institute of Technology, Jacek Czerwonka Developer Services, Microsoft Pre-print |
14:00 - 15:30 | Empirical research methods and applicationsESEM Technical Papers / ESEM Emerging Results, Vision and Reflection Papers Track at Telensenyament (B3 Building - 1st Floor) Chair(s): Valentina Lenarduzzi University of Oulu | ||
14:00 20mFull-paper | Game Software Engineering: A Controlled Experiment Comparing Automated Content Generation Techniques ESEM Technical Papers Mar Zamorano López University College London, África Domingo Universidad San Jorge, Carlos Cetina San Jorge University, Spain, Federica Sarro University College London | ||
14:20 20mFull-paper | Evaluating Software Modelling Recommendations: Towards Systematic Guidelines for Modelling ESEM Technical Papers | ||
14:40 20mFull-paper | What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims ESEM Technical Papers Jason Jones Purdue University, Wenxin Jiang Purdue University, Nicholas Synovic Loyola University Chicago, George K. Thiruvathukal Loyola University Chicago and Argonne National Laboratory, James C. Davis Purdue University DOI Pre-print | ||
15:00 15mVision and Emerging Results | On the Creation of Representative Samples of Software Repositories ESEM Emerging Results, Vision and Reflection Papers Track June Gorostidi IN3 - UOC, Adem Ait University of Luxembourg, Jordi Cabot Luxembourg Institute of Science and Technology, Javier Luis Cánovas Izquierdo IN3 - UOC Pre-print | ||
15:15 15mVision and Emerging Results | Can ChatGPT emulate humans in software engineering surveys? ESEM Emerging Results, Vision and Reflection Papers Track Igor Steinmacher Northern Arizona University, Jacob Mcauley Penney NAU, Katia Romero Felizardo UTFPR-CP, Alessandro Garcia Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Marco Gerosa Northern Arizona University |
16:00 - 17:30 | Software vulnerabilities and defectsESEM Technical Papers / ESEM Journal-First Papers / ESEM Emerging Results, Vision and Reflection Papers Track at Aula de graus (C4 Building) Chair(s): Daniela Cruzes Norwegian University of Science and Technology | ||
16:00 20mFull-paper | Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++ ESEM Technical Papers Anh Nguyen The , Triet Le The University of Adelaide, Muhammad Ali Babar School of Computer Science, The University of Adelaide DOI Pre-print | ||
16:20 20mFull-paper | Empirical Evaluation of Frequency Based Statistical Models for Estimating Killable Mutants ESEM Technical Papers Konstantin Kuznetsov Saarland University, CISPA, Alessio Gambi Austrian Institute of Technology (AIT), Saikrishna Dhiddi Passau University, Julia Hess Saarland University, Rahul Gopinath University of Sydney | ||
16:40 20mFull-paper | Reevaluating the Defect Proneness of Atoms of Confusion in Java Systems ESEM Technical Papers Guoshuai Shi University of Waterloo, Farshad Kazemi University of Waterloo, Michael W. Godfrey University of Waterloo, Canada, Shane McIntosh University of Waterloo Pre-print | ||
17:00 15mJournal Early-Feedback | Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach ESEM Journal-First Papers Hugo Villamizar fortiss GmbH, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Helio Côrtes Vieira Lopes PUC-Rio, Daniel Mendez Blekinge Institute of Technology and fortiss | ||
17:15 15mVision and Emerging Results | DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware ESEM Emerging Results, Vision and Reflection Papers Track Tiezhu Sun University of Luxembourg, Nadia Daoudi Luxembourg Institute of Science and Technology, Kisub Kim Singapore Management University, Singapore, Kevin Allix Independent Researcher, Tegawendé F. Bissyandé University of Luxembourg, Jacques Klein University of Luxembourg |
16:00 - 17:30 | Software measurement and estimationsESEM Technical Papers / ESEM IGC / ESEM Journal-First Papers / ESEM Emerging Results, Vision and Reflection Papers Track at Multimedia (B3 Building - Hall) Chair(s): Beatriz Bernárdez Universidad de Sevilla | ||
16:00 20mFull-paper | Enhancing Change Impact Prediction by Integrating Evolutionary Coupling with Software Change Relationships ESEM Technical Papers Daihong Zhou School of Computer Science and Information Engineering, Shanghai Institute of Technology, Jiyue Zhang School of Computer Science, Fudan University, Ping Yu Fudan University, China, Wunan Guo School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology | ||
16:20 20mFull-paper | M-score: An Empirically Derived Software Modularity Metric ESEM Technical Papers Ernst Pisch Drexel University, Yuanfang Cai Drexel University, Rick Kazman , Jason Lefever Drexel University, Hongzhou Fang Drexel University | ||
16:40 20mVision and Emerging Results | Towards Automated Continuous Security Compliance ESEM Emerging Results, Vision and Reflection Papers Track Florian Angermeir fortiss, Jannik Fischbach Netlight GmbH / fortiss GmbH, Fabiola Moyon Siemens AG, Munich, Germany, Daniel Mendez Blekinge Institute of Technology and fortiss Pre-print | ||
17:00 15mJournal Early-Feedback | Much more than a prediction: Expert-based software effort estimation as a behavioral act ESEM Journal-First Papers Patrícia G. F. Matsubara Federal University of Mato Grosso do Sul (UFMS), Igor Steinmacher Northern Arizona University, Bruno Gadelha UFAM, Tayana Conte Universidade Federal do Amazonas | ||
17:15 15mIndustry talk | On the Accuracy of Effort Estimations based on COSMIC Functional Size Measurement: A Case Study ESEM IGC Ersin Ersoy Paycell, Selami Bagriyanik Singularity Software Technologies; Istanbul Topkapi University, Hasan Sozer Ozyegin University |
16:00 - 17:30 | Machine learning for software engineeringESEM Technical Papers / ESEM Emerging Results, Vision and Reflection Papers Track / ESEM Journal-First Papers at Telensenyament (B3 Building - 1st Floor) Chair(s): Luigi Quaranta University of Bari, Italy | ||
16:00 20mFull-paper | A Transformer-based Approach for Augmenting Software Engineering Chatbots Datasets ESEM Technical Papers Ahmad Abdellatif University of Calgary, Khaled Badran Concordia University, Canada, Diego Costa Concordia University, Canada, Emad Shihab Concordia University | ||
16:20 20mFull-paper | Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search ESEM Technical Papers Gang Hu School of Information Science & Engineering, Yunnan University, Xiaoqin Zeng School of Information Science & Engineering, Yunnan University, Wanlong Yu , Min Peng , YUAN Mengting School of Computer Science, Wuhan University, Wuhan, China, Liang Duan | ||
16:40 20mFull-paper | Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking ESEM Technical Papers Duc Anh Le Hanoi University of Science and Technology, Anh M. T. Bui Hanoi University of Science and Technology, Phuong T. Nguyen University of L’Aquila, Davide Di Ruscio University of L'Aquila Pre-print | ||
17:00 15mVision and Emerging Results | PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery ESEM Emerging Results, Vision and Reflection Papers Track Yang Deng The School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, China, Bangchao Wang Wuhan Textile University, Zhiyuan Zou The School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, China, Luyao Ye The School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, China | ||
17:15 15mJournal Early-Feedback | GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT ESEM Journal-First Papers Phuong T. Nguyen University of L’Aquila, Juri Di Rocco University of L'Aquila, Claudio Di Sipio University of l'Aquila, Riccardo Rubei University of L'Aquila, Davide Di Ruscio University of L'Aquila, Massimiliano Di Penta University of Sannio, Italy Link to publication DOI Pre-print |
Fri 25 OctDisplayed time zone: Brussels, Copenhagen, Madrid, Paris change
11:00 - 12:30 | Large language models in software engineering IESEM Technical Papers / ESEM Emerging Results, Vision and Reflection Papers Track at Telensenyament (B3 Building - 1st Floor) Chair(s): Phuong T. Nguyen University of L’Aquila | ||
11:00 20mFull-paper | Optimizing the Utilization of Large Language Models via Schedule Optimization: An Exploratory Study ESEM Technical Papers Yueyue Liu The University of Newcastle, Hongyu Zhang Chongqing University, Zhiqiang Li Shaanxi Normal University, Yuantian Miao The University of Newcastle | ||
11:20 20mFull-paper | A Comparative Study on Large Language Models for Log Parsing ESEM Technical Papers Merve Astekin Simula Research Laboratory, Max Hort Simula Research Laboratory, Leon Moonen Simula Research Laboratory and BI Norwegian Business School | ||
11:40 20mFull-paper | Are Large Language Models a Threat to Programming Platforms? An Exploratory Study ESEM Technical Papers Md Mustakim Billah University of Saskatchewan, Palash Ranjan Roy University of Saskatchewan, Zadia Codabux University of Saskatchewan, Banani Roy University of Saskatchewan | ||
12:00 15mVision and Emerging Results | Automatic Library Migration Using Large Language Models: First Results ESEM Emerging Results, Vision and Reflection Papers Track Aylton Almeida UFMG, Laerte Xavier PUC Minas, Marco Tulio Valente Federal University of Minas Gerais, Brazil | ||
12:15 15mVision and Emerging Results | Evaluating Large Language Models in Exercises of UML Class Diagram Modeling ESEM Emerging Results, Vision and Reflection Papers Track Daniele De Bari Politecnico di Torino, Giacomo Garaccione Politecnico di Torino, Riccardo Coppola Politecnico di Torino, Marco Torchiano Politecnico di Torino, Luca Ardito Politecnico di Torino |
12:30 - 14:00 | |||
12:30 90mLunch | Lunch Catering |
14:00 - 15:30 | Large language models in software engineering IIESEM Emerging Results, Vision and Reflection Papers Track / ESEM IGC at Telensenyament (B3 Building - 1st Floor) Chair(s): Claudio Di Sipio University of l'Aquila | ||
14:00 15mVision and Emerging Results | Debugging with Open-Source Large Language Models: An Evaluation ESEM Emerging Results, Vision and Reflection Papers Track Yacine Majdoub IResCoMath Lab, University of Gabes, Eya Ben Charrada IResCoMath Lab, University of Gabes Pre-print | ||
14:15 15mIndustry talk | Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis ESEM IGC Matteo Esposito University of Oulu, Francesco Palagiano Multitel di Lerede Alessandro & C. s.a.s., Valentina Lenarduzzi University of Oulu, Davide Taibi University of Oulu Pre-print | ||
14:30 15mVision and Emerging Results | Exploring LLM-Driven Explanations for Quantum Algorithms ESEM Emerging Results, Vision and Reflection Papers Track Giordano d'Aloisio University of L'Aquila, Sophie Fortz King's College London, Carol Hanna University College London, Daniel Fortunato INESC-ID, University of Porto, Avner Bensoussan King's College London, Eñaut Mendiluze Usandizaga Simula Research Laboratory, Norway, Federica Sarro University College London Pre-print | ||
14:45 15mVision and Emerging Results | Multi-language Software Development in the LLM Era: Insights from Practitioners’ Conversations with ChatGPT ESEM Emerging Results, Vision and Reflection Papers Track Lucas Almeida Aguiar State University of Ceará, Matheus Paixao State University of Ceará, Rafael Carmo Federal University of Ceará, Edson Soares Instituto Atlantico & State University of Ceara (UECE), Antonio Leal State University of Ceará, Matheus Freitas State University of Ceará, Eliakim Gama State University of Ceará | ||
15:00 15mVision and Emerging Results | Detecting Code Smells using ChatGPT: Initial Insights ESEM Emerging Results, Vision and Reflection Papers Track Luciana L. Silva Federal University of Minas Gerais, Janio R. Silva IFMG, João Eduardo Montandon Universidade Federal de Minas Gerais (UFMG), Marcus Andrade IFMG, Marco Tulio Valente Federal University of Minas Gerais, Brazil | ||
15:15 15mIndustry talk | ChatGPT’s Potential in Cryptography Misuse Detection: A Comparative Analysis with Static Analysis Tools ESEM IGC |
15:30 - 16:00 | |||
15:30 30mCoffee break | Break Catering |
16:00 - 17:10 | Relationships and theory buildingESEM Journal-First Papers / ESEM Technical Papers at Multimedia (B3 Building - Hall) Chair(s): Rogardt Heldal Western Norway University of Applied Science | ||
16:00 20mFull-paper | Gamification of a BPMN Modeling Course: an Analysis of Effectiveness and Student Perception ESEM Technical Papers Giacomo Garaccione Politecnico di Torino, Riccardo Coppola Politecnico di Torino, Luca Ardito Politecnico di Torino, Marco Torchiano Politecnico di Torino | ||
16:20 20mFull-paper | Data Analysis Tools Affect Outcomes of Eye-Tracking Studies ESEM Technical Papers Timon Dörzapf Saarland University, Saarland Informatics Campus, Norman Peitek Saarland University, Marvin Wyrich Saarland University, Sven Apel Saarland University | ||
16:40 15mJournal Early-Feedback | A Theory of Factors Affecting Continuous Experimentation (FACE) ESEM Journal-First Papers | ||
16:55 15mJournal Early-Feedback | It’s about time: How to study intertemporal choice in systems design ESEM Journal-First Papers Fabian Fagerholm Aalto University, Andres De los Ríos , Carol Cárdenas-Castro S4N, Jenny Gil S4N, Alexander Chatzigeorgiou University of Macedonia, Apostolos Ampatzoglou University of Macedonia, Christoph Becker University of Toronto |
16:00 - 17:00 | Empirical studies for programming languages challengesESEM Technical Papers / ESEM Emerging Results, Vision and Reflection Papers Track at Telensenyament (B3 Building - 1st Floor) Chair(s): Julian Frattini Blekinge Institute of Technology | ||
16:00 20mFull-paper | Cross-Language Dependencies: An Empirical Study of Kotlin-Java ESEM Technical Papers Qiong Feng Nanjing University of Science and Technology, Huan Ji Huawei Nanjing Research Center, Xiaotian Ma Nanjing University of Science and Technology, Peng Liang Wuhan University, China Pre-print Media Attached | ||
16:20 20mFull-paper | Broken Agreement: The Evolution of Solidity Error Handling ESEM Technical Papers Charalambos Ioannis Mitropoulos Technical University of Crete, Maria Kechagia University College London, Chrysostomos Maschas GRNET, Sotirios Ioannidis Technical University of Crete, Federica Sarro University College London, Dimitris Mitropoulos University of Athens | ||
16:40 15mVision and Emerging Results | Rusty Linux: Advances in Rust for Linux Kernel Development ESEM Emerging Results, Vision and Reflection Papers Track |