ICSE 2024
Fri 12 - Sun 21 April 2024 Lisbon, Portugal

Poster preparation

The recommendation for the poster size is A0, equals 118 cm height x 84 cm length.

Submissions by Invitation Only

The ICSE 2024 Posters Track is by invitation only. There is no open call for poster submissions. Some of the submissions to the Technical Track, SEIP Track, SEIS Track, and SEET Track will be invited by the chairs for poster presentations. The authors of an invited poster need to submit a 2-page extended abstract which summarizes:

  • the problem addressed by the poster;
  • the approach taken by the authors; and
  • the main results achieved so far.

All submissions must conform to the ICSE 2024 formatting and submission instructions available at https://www.acm.org/publications/proceedings-template for both LaTeX and Word users. LaTeX users must use the provided acmart.cls and ACM-Reference-Format.bst without modification, enable the conference format in the preamble of the document (i.e., \documentclass[sigconf,review]{acmart}), and use the ACM reference format for the bibliography (i.e., \bibliographystyle{ACM-Reference-Format}). The review option adds line numbers, thereby allowing referees to refer to specific lines in their comments.

By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.

Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improve author discoverability, ensure proper attribution and contribute to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.

The 2-page extended abstract of each accepted poster may, at the authors’ discretion, be published in the ICSE 2024 Companion Proceedings. Abstracts must be submitted electronically at the submission site by the submission deadline (see the important dates below). A submission will be desk rejected if it does not comply with the instructions and size limits. Unlike the other tracks, the Posters Track does not follow the double-anonymous review process. At least one author of each accepted poster is required to register for the ICSE 2024 conference and to present the poster. Each accepted poster will be presented by its authors during the main conference.

Accepted Papers

Title
A First Look at the General Data Protection Regulation (GDPR) in Open-Source Software
Posters
An Actionable Framework for Understanding and Improving Talent Retention as a Competitive Advantage in IT Organizations
Posters
Analyzing the Impact of Context Representation and Scope in Code Infilling
Posters
An Empirical Study on Cross-language Clone Bugs
Posters
Applying Transformer Models for Automatic Build Errors Classification of Java-Based Open Source Projects
Posters
Assessing AI-Based Code Assistants in Method Generation Tasks
Posters
A Study of Backporting Code in Open-Source Software for Characterizing Changesets
Posters
A Transformer-based Model for Assisting Dockerfile Revising
Posters
Automated Code Editing with Search-Generate-Modify
Posters
Automated Security Repair for Helm Charts
Posters
Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models
Posters
Behavior Trees with Dataflow: Coordinating Reactive Tasks in Lingua Franca
Posters
Blocks? Graphs? Why Not Both? Designing and Evaluating a Hybrid Programming Environment for End-users
Posters
Boosting Individual Fairness through Mahalanobis Distances Guided Boltzmann Exploratory Testing (Extended Abstract)
Posters
Bringing Structure to Naturalness: On the Naturalness of ASTs
Posters
Causal Graph Fuzzing for Fair ML Sofware Development
Posters
Creating Fair Software: Identifying and Mitigating Bias in Machine Learning Models through Counterfactual Thinking
Posters
Data vs. Model Machine Learning Fairness Testing: An Empirical Study
Posters
Decoding Log Parsing Challenges: A Comprehensive Taxonomy for Actionable Solutions
Posters
Designing Digital Twins for Enhanced Reusability
Posters
Domain Knowledge is All You Need: A Field Deployment of LLM-Powered Test Case Generation in FinTech Domain
Posters
eAIEDF: Extended AI Error Diagnosis Flowchart for Automatically Identifying Misprediction Causes in Production Models
Posters
Endogeneity, Instruments, and Two-Stage Models
Posters
Energy Consumption of Automated Program Repair
Posters
Engineering Industry-Ready Anomaly Detection Algorithms
Posters
Exploring Data Cleanness in Defects4J and Its Influence on Fault Localization Efficiency
Posters
Exploring the Computational Complexity of SAT Counting and Uniform Sampling with Phase Transitions
Posters
Exploring the Effectiveness of LLM based Test-driven Interactive Code Generation: User Study and Empirical Evaluation
Posters
Exploring the Impact of Inheritance on Test Code Maintainability
Posters
Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation
Posters
Fault Localization on Verification Witnesses
Posters
F-CodeLLM: A Federated Learning Framework for Adapting Large Language Models to Practical Software Development
Posters
GDPR indications in commits messages in GitHub repositories
Posters
Going Viral: Case Studies on the Impact of Protestware
Posters
GoSpeechLess: Interoperable Serverless ML-based Cloud Services
Posters
GRAIL: Checking Transaction Isolation Violations with Graph Queries
Posters
Graph Neural Networks based Log Anomaly Detection and Explanation
Posters
High-precision Online Log Parsing with Large Language Models
Posters
How are Contracts Used in Android Mobile Applications?
Posters
How Does Pre-trained Language Model Perform on Deep Learning Framework Bug Prediction?
Posters
Hunting DeFi Vulnerabilities via Context-Sensitive Concolic Verification
Posters
ICLNet: Stepping Beyond Dates for Robust Issue-Commit Link Recovery
Posters
Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models
Posters
Improving Program Debloating with 1-DU Chain Minimality
Posters
Improving the Condensing of Reverse Engineered Class Diagrams using Weighted Network Metrics
Posters
Interpretable Software Maintenance and Support Effort Prediction Using Machine Learning
Posters
KareCoder: A New Knowledge-Enriched Code Generation System
Posters
Learning to Represent Patches
Posters
Lightweight Semantic Conflict Detection with Static Analysis
Posters
LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis
Posters
Micro-scale Concolic Testing Framework for Automated Test Data Generation Based on Path Coverage
Posters
MUFIN: Improving Neural Repair Models with Back-Translation
Posters
Multi-requirement Parametric Falsification
Posters
Multi-source Anomaly Detection For Microservice Systems
Posters
Multi-step Automated Generation of Parameter Docstrings in Python: An Exploratory Study
Posters
Neural Exception Handling Recommender
Posters
NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions
Posters
NomNom: Explanatory Function Names for Program Synthesizers
Posters
Obfuscation-Resilient Software Plagiarism Detection with JPlag
Posters
DOI Pre-print
On the Effects of Program Slicing for Vulnerability Detection during Code Inspection: Extended Abstract
Posters
On the Need for Empirically Investigating Fast-Growing Programming Languages
Posters
ParSE: Efficient Detection of Smart Contract Vulnerabilities via Parallel and Simplified Symbolic Execution
Posters
Path Complexity Analysis for Interprocedural Code
Posters
Poirot: Deep Learning for API Misuse Detection
Posters
Poster: Kotlin Assimilating the Android Ecosystem - An Appraisal of Diffusion and Impact on Maintainability
Posters
Programmable and Semantic Connector for DNN Component Integration: a Software Engineering Perspective
Posters
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
Posters
Pre-print
Recovering Traceability Links between Release Notes and Related Software Artifacts
Posters
ReviewRanker: A Semi-Supervised Learning Based Approach for Code Review Quality Estimation
Posters
Safety Monitoring of Deep Reinforcement Learning Agents
Posters
SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice
Posters
The Impact of a Live Refactoring Environment on Software Development
Posters
Towards Data Augmentation for Supervised Code Translation
Posters
Towards Leveraging Fine-Grained Dependencies to Check Requirements Traceability Correctness
Posters
Towards Precise Observations of Neural Model Robustness in Classification
Posters
Tracking assets in source code with Security Annotations
Posters
Understanding the Strategies Used by Employees to Cope with Technostress in the Software Industry
Posters
Unleashing the Giants: Enabling Advanced Testing for Infrastructure as Code
Posters
Link to publication DOI Pre-print
Unleashing the Power of Clippy in Real-World Rust Projects
Posters
What do you assume? A Theory of Security-Related Assumptions
Posters
xNose: A Test Smell Detector for C#
Posters