ICSME 2023
Sun 1 - Fri 6 October 2023 Bogotá, Colombia
Dates
Tracks
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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
16m
Talk
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
16m
Talk
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
16m
Talk
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
11m
Talk
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
16m
Talk
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
15m
Live 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
16m
Talk
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
11m
Talk
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
11m
Talk
Mining and Fusing Productivity Metrics with Code Quality Information at Scale
Tool Demo Track
Pre-print
11:08
16m
Talk
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
11m
Talk
StaticTracker: A Diff Tool for Static Code Warnings
Tool Demo Track
Junjie Li Concordia University, Jinqiu Yang Concordia University
11:35
11m
Talk
Capturing Contextual Relationships of Buggy Classes for Detecting Quality-Related Bugs
New Ideas and Emerging Results Track
Rrezarta Krasniqi University of North Texas, Hyunsook Do University of North Texas
11:46
14m
Live 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
16m
Talk
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
16m
Talk
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
16m
Talk
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
11m
Talk
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
16m
Talk
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
15m
Live Q&A
1:1 Q&A
Research Track

13:30 - 15:00
Tools and EnvironmentsResearch Track / Tool Demo Track / New Ideas and Emerging Results Track at Session 2 Room - RGD 04
Chair(s): Shurui Zhou University of Toronto, Christoph Treude University of Melbourne
13:30
16m
Talk
Integrating Visual Aids to Enhance the Code Reviewer Selection Process
Research Track
Md Shamimur Rahman University of Saskatchewan, Debajyoti Mondal University of Saskatchewan, Zadia Codabux University of Saskatchewan, Chanchal K. Roy University of Saskatchewan
13:46
11m
Talk
The Psychological Effects of AI-Assisted Programming on Students and Professionals
New Ideas and Emerging Results Track
Marcel Valový Prague University of Economics and Business, Alena Buchalcevová Prague University of Economics and Business
13:57
16m
Talk
Breaking the Bento Box: Accelerating Visual Momentum in Data-flow Analysis
Research Track
James Yoo University of Washington, Gail Murphy University of British Columbia
Pre-print
14:13
11m
Talk
PyAnaDroid: A fully-customizable execution pipeline for benchmarking Android Applications
Tool Demo Track
Rui António Ramada Rua University of Minho & INESC TEC, João Saraiva University of Minho, Portugal
14:24
16m
Talk
Preparing Software Re-Engineering via Freehand Sketches in Virtual Reality
Research Track
Adrian Hoff IT University of Copenhagen, Christoph Seidl IT University of Copenhagen, Mircea F. Lungu University of Groningen, Michele Lanza Software Institute - USI, Lugano
14:40
20m
Live 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
5m
Talk
ROSE Festival Introduction
Artifact Evaluation Track and ROSE Festival
Sonia Haiduc Florida State University, Venera Arnaoudova Washington State University
15:35
5m
Talk
PyAnaDroid: A fully-customizable execution pipeline for benchmarking Android Applications
Artifact Evaluation Track and ROSE Festival
Rui António Ramada Rua University of Minho & INESC TEC, João Saraiva
15:40
5m
Talk
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
5m
Talk
PASD: A Performance Analysis Approach Through the Statistical Debugging of Kernel Events
Artifact Evaluation Track and ROSE Festival
15:50
5m
Talk
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
5m
Talk
Generating Understandable Unit Tests through End-to-End Test Scenario Carving
Artifact Evaluation Track and ROSE Festival
Amirhossein Deljouyi , Andy Zaidman Delft University of Technology
16:00
5m
Talk
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
5m
Talk
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
5m
Talk
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
5m
Talk
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
5m
Talk
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
5m
Talk
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
5m
Talk
RefSearch: A Search Engine for Refactoring
Artifact Evaluation Track and ROSE Festival
Motoki Abe Tokyo Institute of Technology, Shinpei Hayashi Tokyo Institute of Technology
DOI Pre-print Media Attached
16:35
5m
Talk
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
5m
Talk
ROSE Awards
Artifact Evaluation Track and ROSE Festival
Sonia Haiduc Florida State University, Venera Arnaoudova Washington State University
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
16m
Talk
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
16m
Talk
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
16m
Talk
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
16m
Talk
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
16m
Talk
Revisiting Machine Learning based Test Case Prioritization for Continuous Integration
Research Track
Yifan Zhao Peking University, Dan Hao Peking University, Lu Zhang Peking University
11:50
10m
Live 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
16m
Talk
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
16m
Talk
Identifying Defect-Inducing Changes in Visual Code
Industry Track
Kalvin Eng Electronic Arts, Abram Hindle University of Alberta, Alexander Senchenko Electronic Arts
Pre-print
11:02
16m
Talk
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
11m
Talk
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
16m
Talk
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
15m
Live 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
16m
Talk
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
16m
Talk
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
16m
Talk
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
16m
Talk
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
16m
Talk
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
10m
Live Q&A
1:1 Q&A
Research Track

13:30 - 15:00
13:30
11m
Talk
Towards a Catalog of Refactorings for Elixir
New Ideas and Emerging Results Track
Lucas Francisco da Matta Vegi Federal University of Minas Gerais (UFMG), Marco Tulio Valente Federal University of Minas Gerais, Brazil
Pre-print
13:41
11m
Talk
An Automated Code Update Tool For Python Packages
Tool Demo Track
Nacho Navarro J.P. Morgan AI Research, Petr Babkin , Salwa Alamir J.P. Morgan AI Research, Sameena Shah J.P. Morgan AI Research
13:52
11m
Talk
Test Code Refactoring Unveiled: Where and How Does It Affect Test Code Quality and Effectiveness?
Registered Reports Track
Fabio Palomba University of Salerno, Ivan Machado Federal University of Bahia
14:03
11m
Talk
Towards Code Improvements Suggestions from Client Exception Analysis
New Ideas and Emerging Results Track
Diego Marcilio USI Università della Svizzera italiana, Carlo A. Furia Università della Svizzera italiana (USI)
Pre-print
14:14
11m
Talk
Deterministic Automatic Refactoring at Scale
Tool Demo Track
14:25
11m
Talk
Automatic Refactoring Candidate Identification Leveraging Effective Code Representation
New Ideas and Emerging Results Track
Indranil Palit Dalhousie University, Gautam Shetty Dalhousie University, Hera Arif Dalhousie University, Tushar Sharma Dalhousie University
Pre-print
14:36
11m
Talk
RefSearch: A Search Engine for Refactoring
Tool Demo Track
Motoki Abe Tokyo Institute of Technology, Shinpei Hayashi Tokyo Institute of Technology
DOI Pre-print
14:47
13m
Live 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
16m
Talk
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
16m
Talk
Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project
Industry Track
Kalvin Eng Electronic Arts, Abram Hindle University of Alberta, Alexander Senchenko Electronic Arts
Pre-print
16:02
16m
Talk
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
11m
Talk
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
16m
Talk
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
15m
Live 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
16m
Talk
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
16m
Talk
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
16m
Talk
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
11m
Talk
OLA: Property Directed Outer Loop Abstraction for Efficient Verification of Reactive Systems
Industry Track
Priyanka Darke Tata Consultancy Services, Bharti Chimdyalwar Tata Consultancy Services
16:29
16m
Talk
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
15m
Live Q&A
1:1 Q&A
Research Track

Fri 6 Oct

Displayed time zone: Bogota, Lima, Quito, Rio Branco change

10:30 - 12:00
10:30
16m
Talk
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
11m
Talk
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
16m
Talk
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
11m
Talk
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
16m
Talk
Specification-based Test Case Generation for C++ Engineering Software
Industry Track
11:40
11m
Talk
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
9m
Live Q&A
1:1 Q&A
Research Track

10:30 - 12:00
10:30
16m
Talk
How do Developers Improve Code Readability? An Empirical Study of Pull Requests
Research Track
Carlos Eduardo Carvalho Dantas Federal University of Uberlândia, Adriano Mendonça Rocha Federal University of Uberlândia, Marcelo De Almeida Maia Federal University of Uberlandia
10:46
11m
Talk
Summarize Me: The Future of Issue Thread Interpretation
New Ideas and Emerging Results Track
Abhishek Kumar Indian Institute of Technology Kharagpur, Partha Pratim Das Indian Institute of Technology, Kharagpur, Partha Pratim Chakrabarti Indian Institute of Technology, Kharagpur
10:57
11m
Talk
Bugsplainer: Leveraging Code Structures to Explain Software Bugs with Neural Machine Translation
Tool Demo Track
Parvez Mahbub Dalhousie University, Ohiduzzaman Shuvo Dalhousie University, Masud Rahman Dalhousie University, Avinash Gopal
11:08
16m
Talk
Knowledge Graph based Explainable Question Retrieval for Programming Tasks
Research Track
Mingwei Liu Fudan University, Simin Yu Fudan University, Xin Peng Fudan University, Xueying Du Fudan University, Tianyong Yang Fudan University, Huanjun Xu Fudan University, Gaoyang Zhang Fudan University
Pre-print File Attached
11:24
11m
Talk
Investigating the Impact of Vocabulary Difficulty and Code Naturalness on Program Comprehension
Registered Reports Track
Bin Lin Radboud University, Gregorio Robles Universidad Rey Juan Carlos
11:35
11m
Talk
Aligning Documentation and Q&A Forum through Constrained Decoding with Weak Supervision
New Ideas and Emerging Results Track
Rohith Pudari University of Toronto, Shiyuan Zhou University of Toronto, Iftekhar Ahmed University of California at Irvine, Zhuyun Dai Google, Shurui Zhou University of Toronto
Pre-print
11:46
14m
Live Q&A
1:1 Q&A
Research Track

13:30 - 14:45
Programming Languages and MigrationNew Ideas and Emerging Results Track / Industry Track / Research Track at Session 1 Room - RGD 004
Chair(s): Esteban Parra Belmont University, Nicolas Archila
13:30
11m
Talk
The Importance of Incremental Migration
Industry Track
13:41
11m
Talk
Towards a Universal Python: Translating the Natural Modality of Python into Other Human Languages
New Ideas and Emerging Results Track
Joshua Otten George Mason University, Antonios Anastasopoulos George Mason University, Kevin Moran University of Central Florida
Link to publication Pre-print
13:52
16m
Talk
A Machine Learning Approach to Convert Pseudo-Code to Domain-Specific Programming Language
Industry Track
Jacob Neal Belmont University, Binary Evolution, Shane Rogers Binary Evolution, Esteban Parra Belmont University
14:08
11m
Talk
Parsing Fortran-77 with proprietary extensions
Industry Track
Younoussa Sow DTIPD Framatome, Larisa Safina INRIA Lillle - Nord Europe, Léandre Brault , Papa Ibou Diouf , Stéphane Ducasse Inria; University of Lille; CNRS; Centrale Lille; CRIStAL, Nicolas Anquetil University of Lille, Lille, France
14:19
26m
Live Q&A
1:1 Q&A
Research Track

13:30 - 14:45
13:30
16m
Talk
Revisiting the Building of Past Snapshots – A Replication and Reproduction Study
Journal First Track
Michel Maes Bermejo Universidad Rey Juan Carlos, Micael Gallego Universidad Rey Juan Carlos, Francisco Gortázar Universidad Rey Juan Carlos, Gregorio Robles Universidad Rey Juan Carlos, Jesus M. Gonzalez-Barahona Universidad Rey Juan Carlos
13:46
11m
Talk
A case study of Fairness in generated images of Large Language Models for Software Engineering Tasks
New Ideas and Emerging Results Track
Mansour Sami Edinburgh Napier University, Ashkan Sami Edinburgh Napier University, Peter Barclay Edinburgh Napier University
13:57
16m
Talk
A Case Study of DevOps Adoption within a Large Financial Organisation
Industry Track
Lixin Su Barclays Bank UK, Tim Storer University of Glasgow
14:13
11m
Talk
Does Microservices Adoption Impact the Development Velocity? A Cohort Study. A Registered Report
Registered Reports Track
Nyyti Saarimäki Tampere University, Mikel Robredo , Sira Vegas Universidad Politecnica de Madrid, Natalia Juristo Universidad Politecnica de Madrid, Davide Taibi University of Oulu and Tampere University , Valentina Lenarduzzi University of Oulu
14:24
11m
Talk
Leveraging Execution Trace with ChatGPT: A Case Study on Automated Fault Diagnosis
New Ideas and Emerging Results Track
Takafumi Sakura Hitachi, Ltd., Ryo Soga Hitachi, Ltd., Hideyuki Kanuka Hitachi, Ltd., Kazumasa Shimari Nara Institute of Science and Technology, Takashi Ishio Future University Hakodate
14:35
10m
Live Q&A
1:1 Q&A
Research Track

Accepted Papers

Title
A Case Study of DevOps Adoption within a Large Financial Organisation
Industry Track
A Machine Learning Approach to Convert Pseudo-Code to Domain-Specific Programming Language
Industry Track
Cost Reduction on Testing Evolving Cancer Registry System
Industry Track
Pre-print
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models
Industry Track
Evaluation of Cross-Lingual Bug Localization: Two Industrial Cases
Industry Track
DOI Pre-print
Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities
Industry Track
Identifying Defect-Inducing Changes in Visual Code
Industry Track
Pre-print
OLA: Property Directed Outer Loop Abstraction for Efficient Verification of Reactive Systems
Industry Track
Parsing Fortran-77 with proprietary extensions
Industry Track
Predicting Defective Visual Code Changes in a Multi-Language AAA Video Game Project
Industry Track
Pre-print
Process Mining from Jira Issues at a Large Company
Industry Track
Software Testing and Code Refactoring: A Survey with Practitioners
Industry Track
Specification-based Test Case Generation for C++ Engineering Software
Industry Track
The Importance of Incremental Migration
Industry Track

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