Accepted Papers

Title
AgraBOT: Accelerating Third-Party Security Risk Management in Enterprise Setting
Industry Papers
A Machine Learning-Based Error Mitigation Approach for Reliable Software Development on IBM’s Quantum Computers
Industry Papers
An Empirically Grounded Path Forward for Scenario-based Testing of Autonomous Driving Systems
Industry Papers
An Empirical Study of Code Search in Intelligent Coding Assistant: Perceptions, Expectations, and Directions
Industry Papers
An LGPD Compliance Inspection Checklist to Assess IoT Solutions
Industry Papers
Application of Quantum Extreme Learning Machines for QoS Prediction of Elevators' Software in an Industrial Context
Industry Papers
Automated End-to-End Dynamic Taint Analysis for WhatsApp
Industry Papers
Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
Industry Papers
Automated Unit Test Improvement using Large Language Models at Meta
Industry Papers
Automating Issue Reporting in Software Testing: Lessons Learned from Using the Template Generator Tool
Industry Papers
Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph
Industry Papers
Checking Complex Source Code-level Constraints using Runtime Verification
Industry Papers
Combating Missed Recalls in E-commerce Search: a CoT-prompting Testing Approach
Industry Papers
Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study
Industry Papers
CVECenter: Industry Practice of Automated Vulnerability Management for Linux Distribution Community
Industry Papers
Decision Making for Managing Automotive Platforms: An Interview Survey on the Sate-of-Practice
Industry Papers
Decoding Anomalies! Unraveling Operational Challenges in Human-in-the-Loop Anomaly Validation
Industry Papers
Dodrio: Parallelizing Taint Analysis Based Fuzzing via Redundancy-Free Scheduling
Industry Papers
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction
Industry Papers
Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler
Industry Papers
Exploring Hybrid Work Realities: A Case Study with Software Professionals From Underrepresented Groups
Industry Papers
Exploring LLM-based Agents for Root Cause Analysis
Industry Papers
Fault Diagnosis for Test Alarms in Microservices Through Multi-source Data
Industry Papers
FinHunter: Improved Search-based Test Generation for Structural Testing of FinTech Systems
Industry Papers
How We Built Cedar: A Verification-Guided Approach
Industry Papers
How Well Industry-level Cause Bisection Works in Real-world - A Study on Linux Kernel
Industry Papers
Illuminating the Gray Zone: Non-Intrusive Gray Failure Localization in Server Operating Systems
Industry Papers
Insights into Transitioning towards Electrics/Electronics Platform Management in the Automotive Industry
Industry Papers
Leveraging Large Language Models for the Auto-remediation of Microservice Applications - An Experimental Study
Industry Papers
LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents
Industry Papers
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models
Industry Papers
Multi-line AI-assisted Code Authoring
Industry Papers
Neat: Mobile App Layout Similarity Comparison based on Graph Convolutional Networks
Industry Papers
Observation-based unit test generation at Meta
Industry Papers
Paths to Testing: Why Women Enter and Remain in Software Testing?
Industry Papers
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
Industry Papers
Property-based Testing for Validating User Privacy-Related Functionalities in Social Media Apps
Industry Papers
Rethinking Software Engineering in the Era of Foundation Models
Industry Papers
S.C.A.L.E: a CO2-aware Scheduler for OpenShift at ING
Industry Papers
Supporting Early Architectural Decision-Making Through Tradeoff Analysis: A Study with Volvo Cars
Industry Papers
Unveil the Mystery of Critical Software Vulnerabilities
Industry Papers
X-lifecycle Learning for Cloud Incident Management using LLMs
Industry Papers

Call for Industry Papers

The FSE 2024 Industry Track provides a venue for outstanding applied research in software engineering. Submissions are expected to have a strong focus on real-world application of software engineering techniques, tools, methods, processes, or practices. At the same time, the work should be original, demonstrating novelty in its technology, context, or approach. The industry track is soliciting submissions that cover all aspects of software engineering, so long as they have been applied in an industrial context or their relevance to such context is clearly identified and articulated in the paper.

Paper Categories

FSE 2024 wants to make sharing industrial research as forthcoming as possible. For this reason, we provide two paper categories:

  • Short papers (5 pages, plus 1 page with references): Ideal for shorter contributions, tech transfer stories, experience reports, or visionary ideas.
  • Long papers (10 pages, plus 2 pages with references): Ideal for practice-oriented research papers or case studies.

Submissions should clearly identify the novel aspects of the approach, the industrial context in which it is applied or which it is relevant to, and the outcomes of its application (ideally supported by experimental results, especially for long papers), as well as what the audience is expected to learn.

We welcome submissions from all areas of industry and for all software engineering techniques, tools, methodologies, processes, and practices applicable at any point in the software lifecycle. Both paper types will be reviewed based on the same evaluation criteria, but short papers are expected to have a smaller set of contributions. All accepted papers will appear in the main conference proceedings. For inspiration in terms of topic, contribution, and style, consider accepted papers from previous ESEC/FSE industry tracks (e.g., 2021 and 2022).

Evaluation Criteria

All submissions will be evaluated based on significance, soundness, thoroughness of evaluation, quality of presentation, and appropriate discussion of related work. Additional key reviewing criteria for the industry track are listed below. Not all criteria are appropriate for every submission (for example, improvement on the state of the practice may be irrelevant for an experience report), and the criteria will be adjusted to fit the given type of submission.

  • Industrial application: The applied research or experience report has taken place in an industrial setting and/or with an industrial partner. Research on a problem relevant to industry or motivated by current and forthcoming industrial challenges is also welcome.
  • Improvement on the state of the practice: The amount of improvement that the work achieves above and beyond the state-of-the-practice.
  • Clarity of lessons learned: The clarity in which the lessons learned are presented and how well they are supported with data and discussion.
  • Generality of results: A clear discussion about how the work, approach, or lessons learned are applicable to practitioners outside of the studied group.

Format and Submission Procedure

At the time of submission, all papers must conform to the FSE 2024 Format and Submission Guidelines, and must not exceed

  • for short papers: 5 pages for all text and figures, plus 1 page for references
  • for long papers: 10 pages for all text and figures plus 2 pages for references.

Submissions must be in English.

Papers must be submitted electronically as PDF files through the conference submission site at https://fse2024-industry.hotcrp.com.

Submissions can be double-blind, but do not have to be. We leave it up to the authors to judge whether they want to include their names, affiliation, and the company in which the work was performed.

Submitted papers must not have been published elsewhere and must not be under review or submitted for review elsewhere during the duration of consideration. Specifically, authors are required to adhere to the ACM Policy and Procedures on Plagiarism and the ACM Policy on Prior Publication and Simultaneous Submissions.

To prevent double submissions, the chairs may compare the submissions with related conferences that have overlapping review periods. The double submission restriction applies only to refereed journals and conferences, not to unrefereed pre-publication archive servers (e.g., arXiv.org). ACM plagiarism policies and procedures will be followed for cases of double submission. Submissions that do not comply with the foregoing instructions will be desk rejected without being reviewed.

AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.

In order for a paper to appear in the proceedings, at least one of the authors must register for the conference.

Important Dates

  • Submission deadline - February 8, 2024
  • Author notification - April 18, 2024
  • Camera ready - May 14, 2024