Cover Image

Beyond the Classroom: Bridging the Gap Between Academia and Industry with a Hands-on Learning Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Mingyang, Liu, Ryan Zheng He, Stoodley, Mark, Tahvildari, Ladan
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests
by: Lin, Shizhe, et al.
Published: (2024)

Key Considerations for Auto-Scaling: Lessons from Benchmark Microservices
by: Dashtbani, Majid, et al.
Published: (2025)

STaleX: A Spatiotemporal-Aware Adaptive Auto-scaling Framework for Microservices
by: Dashtbani, Majid, et al.
Published: (2025)

Be a Partner, not a Bystander in Software Engineering Practice: Bridging the Gaps between Academia and Industry
by: Rahman, Mohammad Masudur, et al.
Published: (2026)

Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia
by: Wan, Shengye, et al.
Published: (2024)

Bridging the Gap Between Agility and Planning
by: Miranda, Eduardo
Published: (2026)

Bridging the Gap Between Domain-specific Frameworks and Multiple Hardware Devices
by: Wen, Xu, et al.
Published: (2024)

Bridging the Gap Between Binary and Source Based Package Management in Spack
by: Gouwar, John, et al.
Published: (2025)

Experiences Applying Lean R&D in Industry-Academia Collaboration Projects
by: Kalinowski, Marcos, et al.
Published: (2025)

Model Cards Revisited: Bridging the Gap Between Theory and Practice for Ethical AI Requirements
by: Puhlfürß, Tim, et al.
Published: (2025)

Toward Practical Deductive Verification: Insights from a Qualitative Survey in Industry and Academia
by: Brugger, Lea Salome, et al.
Published: (2025)

Fixturize: Bridging the Fixture Gap in Test Generation
by: Wang, Chengyi, et al.
Published: (2026)

Aligning Academia with Industry: An Empirical Study of Industrial Needs and Academic Capabilities in AI-Driven Software Engineering
by: Yu, Hang, et al.
Published: (2025)

Bridging the Gap: A Comparative Study of Academic and Developer Approaches to Smart Contract Vulnerabilities
by: Salzano, Francesco, et al.
Published: (2025)

Bridging Solidity Evolution Gaps: An LLM-Enhanced Approach for Smart Contract Compilation Error Resolution
by: Ye, Likai, et al.
Published: (2025)

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation
by: Li, Jia, et al.
Published: (2026)

Agile Minds, Innovative Solutions, and Industry-Academia Collaboration: Lean R&D Meets Problem-Based Learning in Software Engineering Education
by: Romao, Lucas, et al.
Published: (2024)

Insights from Publishing Open Data in Industry-Academia Collaboration
by: Strandberg, Per Erik, et al.
Published: (2025)

Bridging the Programming Language Gap: Constructing a Multilingual Shared Semantic Space through AST Unification and Graph Matching
by: Chen, Junhao, et al.
Published: (2026)

Bridging the Gap Between Modern UX Design and Particle Accelerator Control Room Interfaces
by: Hill, Rachael, et al.
Published: (2025)

Understanding the Skills Gap between Higher Education Institutions and the Software Engineering Industry
by: Phan, Huy, et al.
Published: (2026)

Bridging the Quantum Divide: Aligning Academic and Industry Goals in Software Engineering
by: Zappin, Jake, et al.
Published: (2025)

Towards Bridging Language Gaps in OSS with LLM-Driven Documentation Translation
by: Adejumo, Elijah Kayode, et al.
Published: (2025)

4D-ARE: Bridging the Attribution Gap in LLM Agent Requirements Engineering
by: Yu, Bo, et al.
Published: (2026)

LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
by: Ye, Jingwei, et al.
Published: (2025)

ResearchBot: Bridging the Gap between Academic Research and Practical Programming Communities
by: Farzanehpour, Sahar, et al.
Published: (2024)

Towards Requirements Engineering for GenAI-Enabled Software: Bridging Responsibility Gaps through Human Oversight Requirements
by: Mao, Zhenyu, et al.
Published: (2025)

Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps
by: Du, Yalong, et al.
Published: (2025)

ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation
by: Zhang, Chenchen, et al.
Published: (2025)

The Future of Generative AI in Software Engineering: A Vision from Industry and Academia in the European GENIUS Project
by: Gröpler, Robin, et al.
Published: (2025)

A Joint Learning Framework for Bridging Defect Prediction and Interpretation
by: Xu, Guifang, et al.
Published: (2025)

Bridging the Gap: Adapting Evidence to Decision Frameworks to support the link between Software Engineering academia and industry
by: Matsubara, Patricia G. F., et al.
Published: (2026)

Deep Assessment of Code Review Generation Approaches: Beyond Lexical Similarity
by: Jiang, Yanjie, et al.
Published: (2025)

How Industry Tackles Anomalies during Runtime: Approaches and Key Monitoring Parameters
by: Steidl, Monika, et al.
Published: (2024)

The Promise and Pitfalls of WebAssembly: Perspectives from the Industry
by: He, Ningyu, et al.
Published: (2025)

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report
by: Jiang, Ziyou, et al.
Published: (2025)

Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
by: Liu, Haiyang, et al.
Published: (2024)

Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools
by: Son, Ha Min, et al.
Published: (2025)

Monitoring and Observability of Machine Learning Systems: Current Practices and Gaps
by: Leest, Joran, et al.
Published: (2025)

Bridging the Language Gap: An Empirical Study of Bindings for Open Source Machine Learning Libraries Across Software Package Ecosystems
by: Li, Hao, et al.
Published: (2022)