Buchumschlag

Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Review

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Tulili, Tien Rahayu, Rastogi, Ayushi, Capiluppi, Andrea
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Software Engineering Artificial Intelligence Computers and Society Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Characterising Developer Sentiment in Software Components: An Exploratory Study of Gentoo
von: Tulili, Tien Rahayu, et al.
Veröffentlicht: (2024)

Exploring turnover, retention and growth in an OSS Ecosystem
von: Tulili, Tien Rahayu, et al.
Veröffentlicht: (2025)

Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
von: Sutoyo, Edi, et al.
Veröffentlicht: (2024)

Self-Admitted Technical Debt Detection Approaches: A Decade Systematic Review
von: Sutoyo, Edi, et al.
Veröffentlicht: (2023)

A Systematic Literature Review on the Use of Machine Learning in Software Engineering
von: Fred, Nyaga, et al.
Veröffentlicht: (2024)

Requirements Engineering for Older Adult Digital Health Software: A Systematic Literature Review
von: Xiao, Yuqing, et al.
Veröffentlicht: (2024)

Data-Driven Methods and AI in Engineering Design: A Systematic Literature Review Focusing on Challenges and Opportunities
von: Afifi, Nehal, et al.
Veröffentlicht: (2025)

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
von: Cao, Sicong, et al.
Veröffentlicht: (2024)

Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software
von: Ran, Dezhi, et al.
Veröffentlicht: (2024)

Predicting Fairness of ML Software Configurations
von: Herrera, Salvador Robles, et al.
Veröffentlicht: (2024)

A Conceptual Framework for Ethical Evaluation of Machine Learning Systems
von: Gupta, Neha R., et al.
Veröffentlicht: (2024)

Large Language Models for Software Engineering: A Systematic Literature Review
von: Hou, Xinyi, et al.
Veröffentlicht: (2023)

ChatGPT Incorrectness Detection in Software Reviews
von: Tanzil, Minaoar Hossain, et al.
Veröffentlicht: (2024)

On the Replicability and Reproducibility of Deep Learning in Software Engineering
von: Liu, Chao, et al.
Veröffentlicht: (2020)

Legal Aspects for Software Developers Interested in Generative AI Applications
von: Herbold, Steffen, et al.
Veröffentlicht: (2024)

ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study
von: Abdelkader, Hala, et al.
Veröffentlicht: (2024)

Toward Explaining Large Language Models in Software Engineering Tasks
von: Vitale, Antonio, et al.
Veröffentlicht: (2025)

The Impact of Software Testing with Quantum Optimization Meets Machine Learning
von: Bandarupalli, Gopichand
Veröffentlicht: (2025)

A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
von: Kaniewski, Sabrina, et al.
Veröffentlicht: (2025)

Towards a Classification of Open-Source ML Models and Datasets for Software Engineering
von: González, Alexandra, et al.
Veröffentlicht: (2024)

Challenges and Paths Towards AI for Software Engineering
von: Gu, Alex, et al.
Veröffentlicht: (2025)

SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents
von: Yuan, Danlong, et al.
Veröffentlicht: (2026)

LLMs in Coding and their Impact on the Commercial Software Engineering Landscape
von: Belozerov, Vladislav, et al.
Veröffentlicht: (2025)

EGSS: Entropy-guided Stepwise Scaling for Reliable Software Engineering
von: Mao, Chenhui, et al.
Veröffentlicht: (2026)

SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents
von: Ding, Yifeng, et al.
Veröffentlicht: (2026)

SetupBench: Assessing Software Engineering Agents' Ability to Bootstrap Development Environments
von: Arora, Avi, et al.
Veröffentlicht: (2025)

Green AI in Action: Strategic Model Selection for Ensembles in Production
von: Nijkamp, Nienke, et al.
Veröffentlicht: (2024)

Adaptive Detection of Software Aging under Workload Shift
von: Silva, Rafael Jose Moura, et al.
Veröffentlicht: (2025)

The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
von: White, Matt, et al.
Veröffentlicht: (2024)

Towards Engineering Fair and Equitable Software Systems for Managing Low-Altitude Airspace Authorizations
von: Gohar, Usman, et al.
Veröffentlicht: (2024)

MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search
von: Wang, Zhaohui, et al.
Veröffentlicht: (2024)

Teaching an Online Multi-Institutional Research Level Software Engineering Course with Industry -- an Experience Report
von: Jalote, Pankaj, et al.
Veröffentlicht: (2025)

Predicting Likely-Vulnerable Code Changes: Machine Learning-based Vulnerability Protections for Android Open Source Project
von: Yim, Keun Soo
Veröffentlicht: (2024)

Model Lake: a New Alternative for Machine Learning Models Management and Governance
von: Garouani, Moncef, et al.
Veröffentlicht: (2025)

SWE-Protégé: Learning to Selectively Collaborate With an Expert Unlocks Small Language Models as Software Engineering Agents
von: Kon, Patrick Tser Jern, et al.
Veröffentlicht: (2026)

Advancing Software Security and Reliability in Cloud Platforms through AI-based Anomaly Detection
von: Saleh, Sabbir M., et al.
Veröffentlicht: (2024)

Invisible Load: Uncovering the Challenges of Neurodivergent Women in Software Engineering
von: Zaib, Munazza, et al.
Veröffentlicht: (2025)

The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
von: Li, Hao, et al.
Veröffentlicht: (2025)

NeurIPS Should Require Reproducibility Standards for Frontier AI Safety Claims
von: Vishwarupe, Varad, et al.
Veröffentlicht: (2026)

An AI System Evaluation Framework for Advancing AI Safety: Terminology, Taxonomy, Lifecycle Mapping
von: Xia, Boming, et al.
Veröffentlicht: (2024)