Research TrackICSME 2023
Wed 4 Oct
Displayed time zone: Bogota, Lima, Quito, Rio Branco change
10:30 - 12:00 | Machine Learning ApplicationsResearch Track / Industry Track / New Ideas and Emerging Results Track at Session 1 Room - RGD 004 Chair(s): Masud Rahman Dalhousie University | ||
10:30 16mTalk | GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench Research Track Ajmain Inqiad Alam University of Saskatchewan, Palash Ranjan Roy University of Saskatchewan, Farouq Al-omari University of Saskatchewan, Chanchal K. Roy University of Saskatchewan, Banani Roy University of Saskatchewan, Kevin Schneider University of Saskatchewan Pre-print | ||
10:46 16mTalk | DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models Industry Track Nikolaos Louloudakis University of Edinburgh, Perry Gibson University of Glasgow, José Cano University of Glasgow, Ajitha Rajan University of Edinburgh | ||
11:02 16mTalk | You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search Research Track Yanlin Wang Sun Yat-sen University, Lianghong Guo Beijing University of Posts and Telecommunications, Ensheng Shi Xi’an Jiaotong University, Wenqing Chen Sun Yat-sen University, Jiachi Chen Sun Yat-sen University, Wanjun Zhong Sun Yat-sen University, Menghan Wang eBay Inc., Hui Li Xiamen University, Ziyu Lyu Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Hongyu Zhang Chongqing University, Zibin Zheng Sun Yat-sen University | ||
11:18 11mTalk | Benchmarking Causal Study to Interpret Large Language Models for Source Code New Ideas and Emerging Results Track Daniel Rodriguez-Cardenas , David Nader Palacio William and Mary, Dipin Khati William & Mary, Henry Burke William & Mary, Denys Poshyvanyk William & Mary | ||
11:29 16mTalk | Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges Research Track Ahmed Haj Yahmed École Polytechnique de Montréal, Altaf Allah Abbassi Polytechnique Montreal, Amin Nikanjam École Polytechnique de Montréal, Heng Li Polytechnique Montréal, Foutse Khomh Polytechnique Montréal | ||
11:45 15mLive Q&A | 1:1 Q&A Research Track | ||
10:30 - 12:00 | Software QualityJournal First Track / Tool Demo Track / New Ideas and Emerging Results Track / Research Track at Session 2 Room - RGD 04 Chair(s): Valentina Lenarduzzi University of Oulu, César França Universidade Federal Rural de Pernambuco | ||
10:30 16mTalk | Featherweight Assisted Vulnerability Discovery Journal First Track David Binkley Loyola University Maryland, Leon Moonen Simula Research Laboratory and BI Norwegian Business School, Sibren Isaacman Loyola University Maryland | ||
10:46 11mTalk | DebtViz: A Tool for Identifying, Measuring, Visualizing, and Monitoring Self-Admitted Technical Debt Tool Demo Track Yikun Li University of Groningen, Mohamed Soliman , Paris Avgeriou University of Groningen, The Netherlands, Maarten van Ittersum | ||
10:57 11mTalk | Mining and Fusing Productivity Metrics with Code Quality Information at Scale Tool Demo Track Harsh Mukeshkumar Shah Dalhousie University, Qurram Zaheer Syed , Bharatwaaj Shankaranarayanan , Indranil Palit Dalhousie University, Arshdeep Singh , Kavya Raval , Kishan Savaliya , Tushar Sharma Dalhousie University Pre-print | ||
11:08 16mTalk | An Investigation of Confusing Code Patterns in JavaScript Journal First Track Adriano Torres Computer Science Department, University of Brasília, Caio Oliveira Computer Science Department, University of Brasília, Marcio Okimoto Computer Science Department, University of Brasília, Diego Marcilio USI Università della Svizzera italiana, Pedro Queiroga Informatics Center, Federal University of Pernambuco, Fernando Castor Utrecht University & Federal University of Pernambuco, Rodrigo Bonifácio Computer Science Department - University of Brasília, Edna Dias Canedo University of Brasilia (UnB), Márcio Ribeiro Federal University of Alagoas, Brazil, Eduardo Monteiro Statistics Department, University of Brasília | ||
11:24 11mTalk | StaticTracker: A Diff Tool for Static Code Warnings Tool Demo Track | ||
11:35 11mTalk | Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs New Ideas and Emerging Results Track | ||
11:46 14mLive Q&A | 1:1 Q&A Research Track | ||
13:30 - 15:00 | Mining Software RepositoriesResearch Track / New Ideas and Emerging Results Track / Industry Track at Session 1 Room - RGD 004 Chair(s): Denys Poshyvanyk William & Mary, Esteban Parra Belmont University | ||
13:30 16mTalk | The Future Can’t Help Fix The Past: Assessing Program Repair In The Wild Research Track Vinay Kabadi The University of Melbourne, Dezhen Kong Zhejiang University, Siyu Xie Zhejiang University, Lingfeng Bao , Gede Artha Azriadi Prana Singapore Management University, Tien-Duy B. Le Singapore Management University, Xuan-Bach D. Le University of Melbourne, David Lo Singapore Management University | ||
13:46 16mTalk | Process Mining from Jira Issues at a Large Company Industry Track Bavo Coremans Thermo Fisher Scientific, Arjen Klomp Thermo Fisher Scientific, Satrio Adi Rukmono , Jacob Krüger Eindhoven University of Technology, Dirk Fahland Eindhoven University of Technology, Michel Chaudron Eindhoven University of Technology, The Netherlands | ||
14:02 16mTalk | Software Bill of Materials Adoption: A Mining Study from GitHub Research Track Sabato Nocera University of Salerno, Simone Romano University of Salerno, Massimiliano Di Penta University of Sannio, Italy, Rita Francese University of Salerno, Giuseppe Scanniello University of Salerno | ||
14:18 11mTalk | An Empirical Study on the Use of Snapshot Testing New Ideas and Emerging Results Track Shun Fujita Kyoto University, Yutaro Kashiwa Nara Institute of Science and Technology, Bin Lin Radboud University, Hajimu Iida Nara Institute of Science and Technology | ||
14:29 16mTalk | A Framework for Automating the Measurement of DevOps Research and Assessment (DORA) Metrics Research Track Brennan Wilkes University of Victoria, Alessandra Maciel Paz Milani University of Victoria, Margaret-Anne Storey University of Victoria | ||
14:45 15mLive Q&A | 1:1 Q&A Research Track | ||
15:30 - 16:45 | ROSEArtifact Evaluation Track and ROSE Festival at Session 1 Room - RGD 004 Chair(s): Venera Arnaoudova Washington State University, Sonia Haiduc Florida State University | ||
15:30 5mTalk | ROSE Festival Introduction Artifact Evaluation Track and ROSE Festival | ||
15:35 5mTalk | PyAnaDroid: A fully-customizable execution pipeline for benchmarking Android Applications Artifact Evaluation Track and ROSE Festival | ||
15:40 5mTalk | Artifact for What’s in a Name? Linear Temporal Logic Literally Represents Time Lines Artifact Evaluation Track and ROSE Festival Runming Li Carnegie Mellon University, Keerthana Gurushankar Carnegie Mellon University, Marijn Heule Carnegie Mellon University, Kristin Yvonne Rozier Iowa State University | ||
15:45 5mTalk | PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events Artifact Evaluation Track and ROSE Festival | ||
15:50 5mTalk | Interactively exploring API changes and versioning consistency Artifact Evaluation Track and ROSE Festival souhaila serbout Software Institute @ USI, Diana Carolina Munoz Hurtado University of Lugano, Switzerland, Cesare Pautasso Software Institute, Faculty of Informatics, USI Lugano | ||
15:55 5mTalk | Generating Understandable Unit Tests through End-to-End Test Scenario Carving Artifact Evaluation Track and ROSE Festival | ||
16:00 5mTalk | Understanding the NPM Dependencies Ecosystem of a Project Using Virtual Reality - Artifact Artifact Evaluation Track and ROSE Festival David Moreno-Lumbreras Universidad Rey Juan Carlos, Jesus M. Gonzalez-Barahona Universidad Rey Juan Carlos, Michele Lanza Software Institute - USI, Lugano | ||
16:05 5mTalk | DGT-AR: Visualizing Code Dependencies in AR Artifact Evaluation Track and ROSE Festival Dussan Freire-Pozo , Kevin Cespedes-Arancibia , Leonel Merino University of Stuttgart, Alison Fernandez Blanco Pontificia Universidad Católica de Chile, Andres Neyem , Juan Pablo Sandoval Alcocer Pontificia Universidad Católica de Chile | ||
16:10 5mTalk | Calibrating Deep Learning-based Code Smell Detection using Human Feedback Artifact Evaluation Track and ROSE Festival Himesh Nandani Dalhousie University, Mootez Saad Dalhousie University, Tushar Sharma Dalhousie University | ||
16:15 5mTalk | A Component-Sensitive Static Analysis Based Approach for Modeling Intents in Android Apps Artifact Evaluation Track and ROSE Festival Negarsadat Abolhassani University of Southern California, William G.J. Halfond University of Southern California | ||
16:20 5mTalk | Uncovering the Hidden Risks: The Importance of Predicting Bugginess in Untouched Methods Artifact Evaluation Track and ROSE Festival Matteo Esposito University of Rome Tor Vergata, Davide Falessi University of Rome Tor Vergata, Italy | ||
16:25 5mTalk | GPTCloneBench: A comprehensive benchmark of semantic clones and cross-language clones using GPT-3 model and SemanticCloneBench Artifact Evaluation Track and ROSE Festival Ajmain Inqiad Alam University of Saskatchewan, Palash Ranjan Roy University of Saskatchewan, Farouq Al-omari University of Saskatchewan, Chanchal K. Roy University of Saskatchewan, Banani Roy University of Saskatchewan, Kevin Schneider University of Saskatchewan | ||
16:30 5mTalk | RefSearch: A Search Engine for Refactoring Artifact Evaluation Track and ROSE Festival DOI Pre-print Media Attached | ||
16:35 5mTalk | Can We Trust the Default Vulnerabilities Severity? Artifact Evaluation Track and ROSE Festival Matteo Esposito University of Rome Tor Vergata, Sergio Moreschini Tampere University, Valentina Lenarduzzi University of Oulu, David Hastbacka , Davide Falessi University of Rome Tor Vergata, Italy | ||
16:40 5mTalk | ROSE Awards Artifact Evaluation Track and ROSE Festival | ||
15:30 - 17:00 | Technical Briefing on srcML & srcDiff: Infrastructure to Support Exploring, Analyzing, and Differencing of Source CodeResearch Track at Session 4 Room - RGD 005 Chair(s): Michael J. Decker Bowling Green State University, Jonathan I. Maletic Kent State University This technology briefing is intended for those interested in constructing custom software analysis and manipulation tools to support research. The briefing is also aimed at researchers interested in leveraging syntactic differencing in their investigations. srcML (srcML.org) is an infrastructure consisting of an XML representation for C/C++/C#/Java source code along with efficient parsing technology to convert source code to-and-from the srcML format. srcDiff (srcDiff.org) is an infrastructure supporting syntactic source-code differencing and change analysis. srcDiff leverages srcML along with an efficient differencing algorithm to produce deltas that accurately model developer edits. In this tech briefing, we give an overview of srcML and srcDiff along with a tutorial of how to use them to support research efforts. The briefing is also a forum to seek feedback and input from the community on what new enhancements and features will better support software engineering research. | ||
Thu 5 Oct
Displayed time zone: Bogota, Lima, Quito, Rio Branco change
10:30 - 12:00 | Software Testing - 1Research Track / Industry Track at Session 1 Room - RGD 004 Chair(s): Amjed Tahir Massey University | ||
10:30 16mTalk | GMBFL: Optimizing Mutation-Based Fault Localization via Graph Representation Research Track Shumei Wu Beijing University of Chemical Technology, Zheng Li Beijing University of Chemical Technology, Yong Liu Beijing University of Chemical Technology, Xiang Chen Nantong University, Mingyu Li Beijing University of Chemical Technology | ||
10:46 16mTalk | Characterizing the Complexity and Its Impact on Testing in ML-Enabled Systems - A Case Study on Rasa Research Track Junming Cao Fudan University, Bihuan Chen Fudan University, Longjie Hu Fudan University, Jie Gao Singapore University of Technology and Design, Kaifeng Huang Fudan University, Xuezhi Song Fudan University, Xin Peng Fudan University | ||
11:02 16mTalk | Software Testing and Code Refactoring: A Survey with Practitioners Industry Track Danilo Lima , Ronnie de Souza Santos University of Calgary, Guilherme Pires , Sildemir Silva , César França Federal Rural University of Pernambuco (UFRPE), Luiz Fernando Capretz Western University | ||
11:18 16mTalk | A manual categorization of new quality issues on automatically-generated tests Research Track Geraldine Galindo-Gutierrez Exact Sciences and Engineering Research Center (CICEI) - Bolivian Catholic University, Maximiliano Narea Carvajal Pontificia Universidad Católica de Chile, Alison Fernandez Blanco Pontificia Universidad Católica de Chile, Nicolas Anquetil University of Lille, Lille, France, Juan Pablo Sandoval Alcocer Pontificia Universidad Católica de Chile | ||
11:34 16mTalk | Revisiting Machine Learning based Test Case Prioritization for Continuous Integration Research Track | ||
11:50 10mLive Q&A | 1:1 Q&A Research Track | ||
10:30 - 12:00 | Software ChangesResearch Track / Journal First Track / Industry Track / Tool Demo Track at Session 2 Room - RGD 04 Chair(s): Tushar Sharma Dalhousie University, Shurui Zhou University of Toronto | ||
10:30 16mTalk | CCBERT: Self-Supervised Code Change Representation Learning Research Track Xin Zhou Singapore Management University, Singapore, Bowen Xu North Carolina State University, DongGyun Han Royal Holloway, University of London, Zhou Yang Singapore Management University, Junda He Singapore Management University, David Lo Singapore Management University Pre-print | ||
10:46 16mTalk | Identifying Defect-Inducing Changes in Visual Code Industry Track Pre-print | ||
11:02 16mTalk | On the Relation of Method Popularity to Breaking Changes in the Maven Ecosystem Journal First Track Mehdi Keshani Delft University of Technology, Simcha Vos Delft University of Technology, Sebastian Proksch Delft University of Technology, Netherlands Link to publication | ||
11:18 11mTalk | Wait, wasn't that code here before? Detecting Outdated Software Documentation Tool Demo Track Wen Siang Tan The University of Adelaide, Markus Wagner Monash University, Australia, Christoph Treude University of Melbourne | ||
11:29 16mTalk | Recommending Code Reviews Leveraging Code Changes with Structured Information Retrieval Research Track Ohiduzzaman Shuvo Dalhousie University, Parvez Mahbub Dalhousie University, Masud Rahman Dalhousie University | ||
11:45 15mLive Q&A | 1:1 Q&A Research Track | ||
13:30 - 15:00 | Security and Program RepairResearch Track / Industry Track at Session 1 Room - RGD 004 Chair(s): Quentin Stiévenart Université du Québec à Montréal (UQAM), Ashkan Sami Edinburgh Napier University | ||
13:30 16mTalk | Enhancing Code Language Models for Program Repair by Curricular Fine-tuning Framework Research Track Sichong Hao Faculty of Computing, Harbin Institute of Technology, Xianjun Shi Faculty of Computing, Harbin Institute of Technology, Hongwei Liu Faculty of Computing, Harbin Institute of Technology, Yanjun Shu Faculty of Computing, Harbin Institute of Technology | ||
13:46 16mTalk | ScaleFix: An Automated Repair of UI Scaling Accessibility Issues in Android Applications Research Track Ali S. Alotaibi University of Southern California, Paul T. Chiou University of Southern California, Fazle Mohammed Tawsif University of Southern California, William G.J. Halfond University of Southern California | ||
14:02 16mTalk | Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities Industry Track Jiaqi He University of Alberta, Revan MacQueen University of Alberta, Natalie Bombardieri University of Alberta, Karim Ali University of Alberta, James Wright University of Alberta, Cristina Cifuentes Oracle Labs | ||
14:18 16mTalk | DockerCleaner: Automatic Repair of Security Smells in Dockerfiles Research Track Quang-Cuong Bui Hamburg University of Technology, Malte Laukötter Hamburg University of Technology, Riccardo Scandariato Hamburg University of Technology Pre-print | ||
14:34 16mTalk | Exploring Security Commits in Python Research Track Shiyu Sun George Mason University, Shu Wang George Mason University, Xinda Wang George Mason University, Yunlong Xing George Mason University, Elisa Zhang Dougherty Valley High School, Kun Sun George Mason University Pre-print | ||
14:50 10mLive Q&A | 1:1 Q&A Research Track | ||
15:00 - 15:30 | |||
15:00 30mBreak | Break Catering | ||
15:30 - 17:00 | Software FaultsIndustry Track / Research Track / Journal First Track at Session 1 Room - RGD 004 Chair(s): Masud Rahman Dalhousie University, Ashkan Sami Edinburgh Napier University | ||
15:30 16mTalk | An Empirical Study on Fault Diagnosisa in Robotic Systems Research Track Xuezhi Song Fudan University, Yi Li , Zhen Dong Fudan University, China, Shuning Liu Fudan University, Junming Cao Fudan University, Xin Peng Fudan University | ||
15:46 16mTalk | Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project Industry Track Pre-print | ||
16:02 16mTalk | An annotation-based approach for finding bugs in neural network programs Journal First Track Mohammad Rezaalipour Software Institute @ USI, Carlo A. Furia Università della Svizzera italiana (USI) | ||
16:18 11mTalk | Evaluation of Cross-Lingual Bug Localization: Two Industrial Cases Industry Track Shinpei Hayashi Tokyo Institute of Technology, Takashi Kobayashi Tokyo Institute of Technology, Tadahisa Kato Hitachi, Ltd. DOI Pre-print | ||
16:29 16mTalk | An Empirical Study on Bugs Inside PyTorch: A Replication Study Research Track Sharon Chee Yin Ho Concordia University, Vahid Majdinasab Polytechnique Montréal, Mohayeminul Islam University of Alberta, Diego Costa Concordia University, Canada, Emad Shihab Concordia Univeristy, Foutse Khomh Polytechnique Montréal, Sarah Nadi University of Alberta, Muhammad Raza Queen's University | ||
16:45 15mLive Q&A | 1:1 Q&A Research Track | ||
15:30 - 17:00 | Program AnalysisResearch Track / Journal First Track / Industry Track at Session 2 Room - RGD 04 Chair(s): Fabio Petrillo École de technologie supérieure (ÉTS), Montréal -- Université du Québec, Mark Hills Appalachian State University | ||
15:30 16mTalk | Slicing Shared-Memory Concurrent Programs, The Threaded System Dependence Graph Revisited Research Track Carlos Galindo Universitat Politècnica de València, Marisa Llorens Universitat Politècnica de València, Sergio Perez Rubio Universitat Politècnica de València, Josep Silva Universitat Politècnica de València | ||
15:46 16mTalk | An Expressive and Modular Layer Activation Mechanism for Context-Oriented Programming Journal First Track Paul Leger Universidad Católica del Norte, Chile, Nicolás Cardozo Universidad de los Andes, Hidehiko Masuhara Tokyo Institute of Technology Link to publication DOI | ||
16:02 16mTalk | Dynamic Slicing of WebAssembly Binaries Research Track Quentin Stiévenart Université du Québec à Montréal (UQAM), David Binkley Loyola University Maryland, Coen De Roover Vrije Universiteit Brussel Pre-print | ||
16:18 11mTalk | OLA: Property Directed Outer Loop Abstraction for Efficient Verification of Reactive Systems Industry Track | ||
16:29 16mTalk | A Component-Sensitive Static Analysis Based Approach for Modeling Intents in Android Apps Research Track Negarsadat Abolhassani University of Southern California, William G.J. Halfond University of Southern California | ||
16:45 15mLive Q&A | 1:1 Q&A Research Track | ||
Fri 6 OctDisplayed time zone: Bogota, Lima, Quito, Rio Branco change
10:00 - 10:30 | |||
10:00 30mBreak | Break Catering | ||
10:30 - 12:00 | Software Testing - 2Tool Demo Track / Industry Track / Research Track / New Ideas and Emerging Results Track at Session 1 Room - RGD 004 Chair(s): Nicolas Archila , Amjed Tahir Massey University | ||
10:30 16mTalk | A Guided Mutation Strategy for Smart Contract Fuzzing Research Track Songyan Ji Harbin Institute of Technology, Jian Dong Harbin Institute of Technology, Jin Wu , Lishi Lu Harbin Institute of Technology | ||
10:46 11mTalk | How Developers Implement Property-Based Tests New Ideas and Emerging Results Track Arthur Corgozinho Federal University of Minas Gerais (UFMG), Henrique Rocha Loyola University Maryland, USA, Marco Tulio Valente Federal University of Minas Gerais, Brazil | ||
10:57 16mTalk | Cost Reduction on Testing Evolving Cancer Registry System Industry Track Erblin Isaku Simula Research Laboratory, and University of Oslo (UiO), Hassan Sartaj Simula Research Laboratory, Christoph Laaber Simula Research Laboratory, Tao Yue Beihang University, Shaukat Ali Simula Research Laboratory and Oslo Metropolitan University, Thomas Schwitalla Cancer Registry of Norway, Jan F. Nygård Cancer Registry of Norway Pre-print | ||
11:13 11mTalk | aNNoTest: An Annotation-based Test Generation Tool for Neural Network Programs Tool Demo Track Mohammad Rezaalipour Software Institute @ USI, Carlo A. Furia Università della Svizzera italiana (USI) | ||
11:24 16mTalk | Specification-based Test Case Generation for C++ Engineering Software Industry Track Michael Moser Software Competence Center Hagenberg GmbH, Michael Pfeiffer , Christina Piereder , Peter Hamberger , Thomas Luger , Claus Klammer | ||
11:40 11mTalk | Artisan: An Action-Based Test Carving Tool for Android Apps Tool Demo Track Alessio Gambi IMC University of Applied Sciences Krems, Mengzhen Li University of Minnesota, Mattia Fazzini University of Minnesota | ||
11:51 9mLive Q&A | 1:1 Q&A Research Track | ||
12:00 - 13:30 | |||
12:00 90mLunch | Lunch Catering | ||
Accepted Papers
Call for Papers
Goal and Scope
IEEE International Conference on Software Maintenance and Evolution (ICSME) is the premier forum for researchers and practitioners to present and discuss the most recent innovations, trends, experiences, and challenges in software maintenance and evolution. We invite high quality submissions describing significant, original, and unpublished results related to but not limited to any of the following software maintenance and evolution topics (in alphabetical order):
- Change and defect management
- Code cloning and provenance
- Concept and feature location
- Continuous integration/deployment
- Empirical studies of software maintenance and evolution
- Evolution of non-code artifacts
- Human aspects of software maintenance and evolution
- Maintenance and evolution of model-based methods
- Maintenance and evolution processes
- Maintenance and evolution of mobile apps
- Maintenance and evolution of service-oriented and cloud computing systems
- Maintenance versus release process
- Mining software repositories
- Productivity of software engineers during maintenance and evolution
- Release engineering
- Reverse engineering and re-engineering
- Run-time evolution and dynamic configuration
- Software and system comprehension
- Software migration and renovation
- Software quality assessment
- Software refactoring and restructuring
- Software testing theory and practice
- Source code analysis and manipulation
- Technical Debt
ICSME welcomes innovative ideas that are timely, well presented, and evaluated. All submissions must position themselves within the existing literature, describe the relevance of the results to specific software engineering goals, and include a clear motivation and presentation of the work.
To establish a consistent set of expectations in the review process authors are asked, as the first word in their list of keywords, to identify their paper with one of the following categories:
1) Technological
A paper in which the main contribution is of a technical nature. This includes novel tools, new algorithms, new theories, modeling languages, infrastructures, processes, methods, and other technologies. Such a contribution does not necessarily need to be evaluated with humans. However, clear arguments, backed up by evidence as appropriate (whether through a proof, complexity analysis, or run-time analysis, among others), must show how and why the technology is beneficial, why a new method is needed, whether it is in automating or supporting some user task, refining our modeling capabilities, improving some key system property, etc.
2) Empirical
A paper in which the main contribution is the empirical study of a software evolution technology or phenomenon. This includes controlled experiments, case studies, and surveys of professionals reporting qualitative or quantitative data, and analysis results. The authors should provide convincing arguments, with commensurate experiences, why certain methods or models are needed. Such a contribution will be judged on its study design, the appropriateness and correctness of its analysis, and its discussion of threats to validity. Replications are welcome.
3) Perspectives
A paper in which the main contribution is a novel perspective on the field as a whole, or part thereof. This includes assessments of the current state of the art and achievements, systematic literature reviews, framing of an important problem, forward-looking thought pieces, connections to other disciplines, and historical perspectives. Such a contribution must, in a highly convincing manner, clearly articulate its vision, novelty, and potential impact.
All papers should be full papers and papers may belong to more than one category.
Evaluation
Submissions that are not in compliance with the required submission format or that are out of the scope of the conference will be rejected without being reviewed. Submitted papers must comply with IEEE plagiarism policy and procedures. Papers submitted to ICSME 2023 must not have been published elsewhere and must not be under review, or submitted for review, elsewhere while under consideration for ICSME 2023. Submitting the same paper to different tracks of ICSME 2023 is also not allowed.
All submissions that meet the submission criteria and fit the scope of the conference will be reviewed by three members of the program committee. Submissions will be evaluated using criteria that depend on the categories they belong to (i.e., technological, empirical, perspectives). For all categories the importance of contribution, originality, quality of presentation, soundness, and appropriate comparison to related work will be assessed. The replicability of the work will be assessed for papers belonging to the “empirical” and/or “technological” categories. For the latter, also the evaluation of the proposed approach will be considered as an evaluation criteria.
Author Response Period
ICSME 2023 will offer a six day author response period. In this period the authors will have the opportunity to inspect the reviews, and answer specific questions raised by the program committee. This period is scheduled after all reviews have been completed, and serves to inform the subsequent decision making process. Authors will be able to see the full reviews, including the reviewer scores as part of the author response process.
Publication and Presentation
Accepted papers will be published in the conference proceedings and submitted for inclusion in the IEEE Xplore Digital Library. All authors of accepted papers will be asked to complete an electronic IEEE Copyright form and will receive further instructions for preparing their camera-ready versions. At least one author of each accepted paper must register for the conference at full rate and present the paper at the conference. Failure of at least one author to register by the early registration date at full rate will result in the paper being withdrawn from the conference proceedings. The same full registration can be used for up to three papers of the same registered author across all tracks. IEEE reserves the right to exclude a paper from distribution after the conference (e.g., by not placing it in the IEEE Xplore Digital Library) if the paper is not presented at the conference. Presentation details will follow notifications of acceptance.
How to Submit
ICSME 2023 will use a double anonymous reviewing process. Submitted papers must adhere to the following rules:
- Author names and affiliations must be omitted. (The track co-chairs will check compliance before reviewing begins.)
- References to authors’ own related work must be in the third person. (For example, not “We build on our previous work…” but rather “We build on the work of…”)
- The title of the submission must be different from preprints of the authors on arXiv or similar sites. During review, authors must not publicly use the submission title.
- Please see the Double-Anonymous Reviewing FAQ for more information and guidance.
Papers must strictly adhere to the two-column IEEE conference proceedings format. Please use the templates available here. LaTeX users should use the following configuration: \documentclass[conference]{IEEEtran}. Microsoft Word users should use the US Letter format template. Papers must not exceed 10 pages (including figures and appendices) plus up to 2 pages that contain ONLY references. All submissions must be in PDF and must be submitted online by the deadline via the ICSME 2023 EasyChair conference management system. All authors, reviewers, and organizers are expected to uphold the IEEE Code of Conduct.
Authors of selected papers from the research track will be invited to submit extended versions of their work to a special issue of the Springer International Journal of Empirical Software Engineering (EMSE). Selected papers will be expected to comply with the standard guidelines when publishing an extended version of a paper, including the addition of about 30% new material.
Submission Link
Please use the following link: https://easychair.org/my/conference?conf=icsme2023
Open Science Policy
ICSME encourages open science practices. While sharing of data sets, replication packages, or preprints is not required, it is expected to be the default, and non-sharing needs to be justified, for example, in the case of industry data subject to confidentiality issues or legal requirements. PC members are not required to look at this material, but are asked to comment on its inclusion. Upon submission, authors should do one of the following: (1) make their data available to the program committee via EasyChair upload or online archival (see below), (2) include in the paper an explanation as to why this is not possible or desirable, or (3) indicate that they intend to make their data publicly available upon acceptance.
When sharing data, please use an online archival site such as zenodo.org, figshare.com, or archive.org. These sites ensure the content is archived and generate a DOI for the content, enabling it to be cited. To learn more about how to share data while maintaining double-anonymous, read the explanation provided by Daniel Graziotin available here. One resource that may be helpful in accomplishing this task is this blog post. We recognize that anonymizing artifacts such as source code is more difficult than preserving anonymity in a paper. We ask authors to take a best effort approach to not reveal their identities. We will also ask reviewers to avoid trying to identify authors by looking at commit histories and other such information that is not easily anonymized. Authors wanting to share GitHub repositories may want to look into using https://anonymous.4open.science which is an open source tool that helps you quickly Double-anonymous your repository.
ICSME supports and encourages Green Open Access (also called self-archiving). We encourage authors to self-archive a preprint of your accepted manuscript in an e-print server such as arXiv.org. Open access increases the availability of your work and increases citation impact. To learn more about open access, please read the Green Open Access FAQ by Arie van Deursen. Note that if your research includes scraped GitHub data, the GitHub Terms of Service require that “publications resulting from that research are open access”. If possible, we recommend that you archive your paper (e.g., on arXiv or on your website) only after the ICSME reviewing process is completed, to avoid undermining the double-anonymous reviewing process.
Authors of papers accepted into ICSME 2023 will be invited to submit their artifacts to the Artifact Evaluation Track. Papers with accepted artifacts will be awarded badges and invited to present lightning talks at the ROSE (Recognising and Rewarding Open Science in Software Engineering) Festival. Please see the Call for Participation for the Artifact Evaluation Track.
| Sat 2 Sep 2023 Author Registration and Early Registration Deadline |
| Mon 31 Jul 2023 Camera-ready Submission |
| Sat 24 Jun 2023 Author Notification |
| Thu 8 - Tue 13 Jun 2023 Author Response Period |
| Thu 27 Apr 2023 Paper Submission |
| Thu 20 Apr 2023 Abstract Submission |
Gabriele BavotaProgram Co-Chair
Software Institute, USI Università della Svizzera italiana
Switzerland
Venera ArnaoudovaProgram Co-Chair
Washington State University
United States
Alexander Serebrenik
Eindhoven University of Technology
Netherlands
Alexandre Bergel
University of Chile
Chile
Andrea De Lucia
University of Salerno
Italy
Andrea Mocci
Software Institute, Università della Svizzera italiana (USI)
Switzerland
Andrea Stocco
Technical University of Munich & fortiss
Germany
Andrian Marcus
George Mason University
United States
Anita Sarma
Oregon State University
United States
Anne Etien
Ecole Polytechnique Universitaire de Lille
Banani Roy
University of Saskatchewan
Canada
Bin Lin
Radboud University
Netherlands
Bonita Sharif
University of Nebraska-Lincoln, USA
United States
Carmine Gravino
University of Salerno
Catia Trubiani
Gran Sasso Science Institute
Italy
Chaiyong Rakhitwetsagul
Mahidol University, Thailand
Thailand
Chanchal K. Roy
University of Saskatchewan
Canada
Christopher Vendome
Miami University
United States
Coen De Roover
Vrije Universiteit Brussel
Belgium
Csaba Nagy
Software Institute - USI, Lugano
Daniel Graziotin
University of Stuttgart
Germany
Dario Di Nucci
University of Salerno
Italy
David Binkley
Loyola University Maryland
United States
David Lo
Singapore Management University
Singapore
Denys Poshyvanyk
William & Mary
United States
Eleni Constantinou
University of Cyprus
Cyprus
Fabio Palomba
University of Salerno
Italy
Fabio Petrillo
École de technologie supérieure (ÉTS), Montréal -- Université du Québec
Canada
Fernanda Madeiral
Vrije Universiteit Amsterdam
Netherlands
Fernando Castor
Utrecht University & Federal University of Pernambuco
Netherlands
Fiorella Zampetti
University of Sannio, Italy
Italy
Foutse Khomh
Polytechnique Montréal
Canada
Francesca Arcelli Fontana
University of Milano-Bicocca
Gema Rodríguez-Pérez
University of British Columbia (UBC)
Canada
Gemma Catolino
Jheronimus Academy of Data Science
Netherlands
Gregorio Robles
Universidad Rey Juan Carlos
Spain
Guido Salvaneschi
University of St. Gallen
Switzerland
Gül Calikli
University of Glasgow
United Kingdom
Ipek Ozkaya
Carnegie Mellon University
United States
James Clause
University of Delaware
United States
Jonathan I. Maletic
Kent State University
Julia Lawall
Inria
France
Juliana Alves Pereira
PUC-Rio
Brazil
Kevin Moran
University of Central Florida
United States
Kostadin Damevski
Virginia Commonwealth University
United States
Li Li
Beihang University
China
Lingxiao Jiang
Singapore Management University
Singapore
Luca Pascarella
ETH Zurich
Switzerland
Maleknaz Nayebi
York University
Canada
Marco Tulio Valente
Federal University of Minas Gerais, Brazil
Brazil
Maria Teresa Baldassarre
Department of Computer Science, University of Bari
Italy
Mariano Ceccato
University of Verona
Italy
Martin Pinzger
Universität Klagenfurt
Austria
Massimiliano Di Penta
University of Sannio, Italy
Italy
Matteo Biagiola
Università della Svizzera italiana
Matthias Galster
University of Canterbury
New Zealand
Michele Tufano
Microsoft
United States
Mike Papadakis
University of Luxembourg, Luxembourg
Luxembourg
Mohamed Wiem Mkaouer
Rochester Institute of Technology
United States
Mohammad Hamdaqa
Polytechnique Montréal
Canada
Neil Ernst
University of Victoria
Canada
Nicolás Cardozo
Universidad de los Andes
Colombia
Nicole Novielli
University of Bari
Italy
Nikolaos Tsantalis
Concordia University
Canada
Oscar Chaparro
William & Mary
United States
Paris Avgeriou
University of Groningen, The Netherlands
Netherlands
Phuong T. Nguyen
University of L’Aquila
Italy
Rana Alkadhi
King Saud University
Saudi Arabia
Robert Dyer
University of Nebraska-Lincoln
United States
Rocco Oliveto
University of Molise
Rudolf Ferenc
University of Szeged
Hungary
Sebastiano Panichella
Zurich University of Applied Sciences
Switzerland
Shane McIntosh
University of Waterloo
Canada
Shin Yoo
KAIST
South Korea
Shinpei Hayashi
Tokyo Institute of Technology
Japan
Simone Scalabrino
University of Molise
Italy
Tracy Hall
Lancaster University
Tse-Hsun (Peter) Chen
Concordia University
Canada
Vincenzo Riccio
University of Udine
Italy
Wahab Hamou-Lhadj
Concordia University, Montreal, Canada
Canada
Xin Peng
Fudan University
China
Xin Xia
Huawei Technologies
China
Yalin Liu
University of Notre Dame
Yann-Gaël Guéhéneuc
Concordia University and Polytechnique Montréal
Canada
Alberto Martin-Lopez
Software Institute - USI, Lugano
Spain
Romain Robbes
CNRS, LaBRI, University of Bordeaux
France