Industry TrackICSME 2023
Wed 4 OctDisplayed 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 OctDisplayed 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 |
15:30 - 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
10:30 - 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 |
Accepted Papers
Call for Papers
Goal and Scope
The industry track brings together participants from academia and industry in a venue that highlights practical and real-world studies of software maintenance and evolution. This track aims to foster mutually-beneficial links between those engaged in scientific research and practitioners working to improve software maintenance and evolution practices. Experiences from practitioners provide crucial input into future research directions and allow others to learn from successes and failures.
The ICSME 2023 industry track highlights practical and real-world studies of software maintenance and evolution. Submissions to this track should address:
- Real-world success and/or failure stories and evidence evolving and maintaining systems
- Experiences and lessons applying state-of-the-art methods, techniques, and tools to industrial software evolution and maintenance problems
- New and unsolved challenges derived from practical problems
We are interested in results, obstacles, and lessons learned. If you apply in an industrial context a method, technique, or tool that was previously presented at ICSME or another software engineering conference, we greatly encourage you to submit to this track. In addition, machine learning models have now become essential to an intelligent software system. Papers reporting experiences and tools on the maintenance and evolution of machine learning models in a software system are also welcomed.
Submission Types
We invite submissions of state-of-the-art practice and experience reports, survey reports from real-world projects and industrial experiences, and evidence-based identification of unsolved research challenges associated with software maintenance and evolution. Each submission should describe the problem addressed, the approach used, the current state of the project, an evaluation of the benefits or lessons learned, and future developments. Submissions may be extended abstracts to encourage discussion around a specific topic or open question (1 page), short papers (4 pages), or long papers (10 pages). We particularly encourage short papers that might get extended into further work, once their novelty has been acknowledged.
Extended abstracts (1 page) may address:
- Important industry needs that are not adequately addressed in the research community
- Ways to improve communication between the research and practitioner communities
- Ways to make research papers more accessible to industry
- New and unsolved research challenges derived from practical problems
- Success stories reporting benefits and lessons learned
- Failure stories reporting obstacles and lessons learned
Short papers (4 pages) may address:
- New and unsolved research challenges derived from practical problems
- Success stories reporting benefits and lessons learned
- Failure stories reporting obstacles and lessons learned
- State-of-the-practice and experience reports with empirical evidence
- State-of-the-practice surveys reports from real-world projects
- Application reports about methods, techniques, and tools
Long papers (10 pages) may include:
- State-of-the-practice and experience reports with empirical evidences
- State-of-the-practice surveys reports from real-world projects
- In-depth application reports about methods, techniques, and tools
- We welcome submissions that are mainly driven by practitioners as much as submissions that are mainly driven by researchers!
Researcher-driven submissions:
A paper is considered researcher-driven if the main author(s) are researchers (the paper can have industrial co-authors). Researcher-driven submissions to the industry track should be distinguished from research track submissions by richness in industrial data or their focus on industrial cases.
Practitioner-driven submissions:
A paper is considered practitioner-driven if the main author(s) are practitioners (the paper can have co-authors from academia). These papers may focus more on specific cases or applications and do not require the same degree of generalizability as researcher-driven submissions.
Reviews
Submissions will be reviewed by at least three members of the industry track program committee. The committee consists of 50-70% practitioners or industrial researchers, who have a good understanding of the value of industry contributions and collaborations. The evaluation serves the purpose to ensure the quality of the submissions and provide constructive feedback. Papers that successfully pass the review process will be accepted for presentation and publication. The type of the paper (researcher-driven or practitioner-driven) will be considered during the review. The below criteria will be considered by the reviewers:
Relevance to ICSME audience: The core concepts of the work either originate in research, or are novel ICSME-appropriate topics related to software maintenance and evolution.
Improvement on the state-of-the-practice or state-of-knowledge: The amount of improvement that the work achieves above and beyond the state-of-the-practice (demonstrated with evidence from practice) or the scale of the impact (e.g., individual vs team vs several teams) of the tech transfer work demonstrated with evidence from practice. Extended Abstract papers should indeed cover a practical problem that practitioners are facing and that our research community might either not be aware of, or where our research hasn’t trickled down into a usable (or known) tool so that practitioners can use it.
Generality of results (researcher-driven papers): The probability that the work, approach, or lessons learned are applicable to developers outside of the studied group.
Clarity of lessons learned: The clarity in which the lessons learned are presented and how well they are supported with data and discussion.
Overall quality of the manuscript: 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 the industry track must not have been published elsewhere and must not be under review or submitted for review elsewhere while under consideration for ICSME 2023.
Publication and Presentation
Accepted papers will be published in the IEEE Xplore Digital Library. Please review the ICSME 2023 Publication Requirements for more details. Presentation details will follow notifications of acceptance.
How to Submit
For 2023, we will follow a single-anonymous review process (i.e., reviewers can see author names and affiliations). A single-anonymous review process should enable authors to fully describe their context and case studies, which are core in industry-track papers. Submitted papers must adhere to the following rules:
- Author names and affiliations should appear on the paper.
- References to authors’ own related work should be made explicit.
- Submissions must strictly adhere to the two-column IEEE conference proceedings format. You can find the templates 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 1 page (for extended abstracts), 4 pages (for short papers) or 10 pages (for long papers), including all text, references, figures, and appendices.
- 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.
Submission Link
Please use the following link: https://easychair.org/my/conference?conf=icsme2023