AI for DevSecOps: A Landscape and Future Opportunities
Fuente:
arXiv
Guardado en:
| Autores principales: | Fu, Michael, Pasuksmit, Jirat, Tantithamthavorn, Chakkrit |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The potential of LLM-generated reports in DevSecOps
por: Lykousas, Nikolaos, et al.
Publicado: (2024)
por: Lykousas, Nikolaos, et al.
Publicado: (2024)
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian
por: Takerngsaksiri, Wannita, et al.
Publicado: (2025)
por: Takerngsaksiri, Wannita, et al.
Publicado: (2025)
The Enhancement of Software Delivery Performance through Enterprise DevSecOps and Generative Artificial Intelligence in Chinese Technology Firms
por: Cui, Jun
Publicado: (2024)
por: Cui, Jun
Publicado: (2024)
DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
por: Tang, Yuheng, et al.
Publicado: (2026)
por: Tang, Yuheng, et al.
Publicado: (2026)
LightSC: The Making of a Usable Security Classification Tool for DevSecOps
por: Shrestha, Manish, et al.
Publicado: (2024)
por: Shrestha, Manish, et al.
Publicado: (2024)
Human-In-the-Loop Software Development Agents
por: Takerngsaksiri, Wannita, et al.
Publicado: (2024)
por: Takerngsaksiri, Wannita, et al.
Publicado: (2024)
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
por: Hong, Yang, et al.
Publicado: (2024)
por: Hong, Yang, et al.
Publicado: (2024)
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
por: Pant, Aastha, et al.
Publicado: (2024)
por: Pant, Aastha, et al.
Publicado: (2024)
Protect Your Secrets: Understanding and Measuring Data Exposure in VSCode Extensions
por: Liu, Yue, et al.
Publicado: (2024)
por: Liu, Yue, et al.
Publicado: (2024)
DevLicOps: A Framework for Mitigating Licensing Risks in AI-Generated Code
por: Sharma, Pratyush Nidhi, et al.
Publicado: (2025)
por: Sharma, Pratyush Nidhi, et al.
Publicado: (2025)
Human-In-The-Loop Software Development Agents: Challenges and Future Directions
por: Pasuksmit, Jirat, et al.
Publicado: (2025)
por: Pasuksmit, Jirat, et al.
Publicado: (2025)
Integrating Security Controls in DevSecOps: Challenges, Solutions, and Future Research Directions
por: Maysa Sinan, et al.
Publicado: (2025)
por: Maysa Sinan, et al.
Publicado: (2025)
AdaptiveGuard: Towards Adaptive Runtime Safety for LLM-Powered Software
por: Yang, Rui, et al.
Publicado: (2025)
por: Yang, Rui, et al.
Publicado: (2025)
A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile
por: Pasuksmit, Jirat, et al.
Publicado: (2024)
por: Pasuksmit, Jirat, et al.
Publicado: (2024)
Advancing DevSecOps in SMEs: Challenges and Best Practices for Secure CI/CD Pipelines
por: Cheenepalli, Jayaprakashreddy, et al.
Publicado: (2025)
por: Cheenepalli, Jayaprakashreddy, et al.
Publicado: (2025)
Enhancing Educational Efficiency: Generative AI Chatbots and DevOps in Education 4.0
por: Mekić, Edis, et al.
Publicado: (2024)
por: Mekić, Edis, et al.
Publicado: (2024)
LADs: Leveraging LLMs for AI-Driven DevOps
por: Khan, Ahmad Faraz, et al.
Publicado: (2025)
por: Khan, Ahmad Faraz, et al.
Publicado: (2025)
Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation
por: Pornprasit, Chanathip, et al.
Publicado: (2024)
por: Pornprasit, Chanathip, et al.
Publicado: (2024)
Code Ownership: The Principles, Differences, and Their Associations with Software Quality
por: Thongtanunam, Patanamon, et al.
Publicado: (2024)
por: Thongtanunam, Patanamon, et al.
Publicado: (2024)
AutoDev: Automated AI-Driven Development
por: Tufano, Michele, et al.
Publicado: (2024)
por: Tufano, Michele, et al.
Publicado: (2024)
Anticipating Adversary Behavior in DevSecOps Scenarios through Large Language Models
por: Caballero, Mario Marín, et al.
Publicado: (2026)
por: Caballero, Mario Marín, et al.
Publicado: (2026)
What do AI/ML practitioners think about AI/ML bias?
por: Pant, Aastha, et al.
Publicado: (2024)
por: Pant, Aastha, et al.
Publicado: (2024)
Ethics in AI through the Practitioner's View: A Grounded Theory Literature Review
por: Pant, Aastha, et al.
Publicado: (2022)
por: Pant, Aastha, et al.
Publicado: (2022)
Deployability-Centric Infrastructure-as-Code Generation: Fail, Learn, Refine, and Succeed through LLM-Empowered DevOps Simulation
por: Zhang, Tianyi, et al.
Publicado: (2025)
por: Zhang, Tianyi, et al.
Publicado: (2025)
The road to Sustainable DevOps
por: Herati, Darwish Ahmad, et al.
Publicado: (2025)
por: Herati, Darwish Ahmad, et al.
Publicado: (2025)
Embedded DevOps: A Survey on the Application of DevOps Practices in Embedded Software and Firmware Development
por: Katapara, Parthiv, et al.
Publicado: (2025)
por: Katapara, Parthiv, et al.
Publicado: (2025)
DevServOps: DevOps For Product-Oriented Product-Service Systems
por: Dakkak, Anas, et al.
Publicado: (2023)
por: Dakkak, Anas, et al.
Publicado: (2023)
ML-Dev-Bench: Comparative Analysis of AI Agents on ML development workflows
por: Padigela, Harshith, et al.
Publicado: (2025)
por: Padigela, Harshith, et al.
Publicado: (2025)
ProjDevBench: Benchmarking AI Coding Agents on End-to-End Project Development
por: Lu, Pengrui, et al.
Publicado: (2026)
por: Lu, Pengrui, et al.
Publicado: (2026)
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
por: Sartaj, Hassan, et al.
Publicado: (2025)
por: Sartaj, Hassan, et al.
Publicado: (2025)
daVinci-Dev: Agent-native Mid-training for Software Engineering
por: Zeng, Ji, et al.
Publicado: (2026)
por: Zeng, Ji, et al.
Publicado: (2026)
When AI Takes the Wheel: Security Analysis of Framework-Constrained Program Generation
por: Liu, Yue, et al.
Publicado: (2025)
por: Liu, Yue, et al.
Publicado: (2025)
RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian
por: Tantithamthavorn, Kla, et al.
Publicado: (2026)
por: Tantithamthavorn, Kla, et al.
Publicado: (2026)
Overcoming Challenges in Agile and DevOps Integration: A Qualitative Study
por: Fraislebem, Juliana, et al.
Publicado: (2026)
por: Fraislebem, Juliana, et al.
Publicado: (2026)
On the Reliability and Explainability of Language Models for Program Generation
por: Liu, Yue, et al.
Publicado: (2023)
por: Liu, Yue, et al.
Publicado: (2023)
RAGVA: Engineering Retrieval Augmented Generation-based Virtual Assistants in Practice
por: Yang, Rui, et al.
Publicado: (2025)
por: Yang, Rui, et al.
Publicado: (2025)
Quality Engineering for Agile and DevOps on the Cloud and Edge
por: Farchi, Eitan, et al.
Publicado: (2023)
por: Farchi, Eitan, et al.
Publicado: (2023)
Auditable DevOps Automation via VSM and GQM
por: Alenezi, Mamdouh
Publicado: (2026)
por: Alenezi, Mamdouh
Publicado: (2026)
WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
por: Li, Chunyang, et al.
Publicado: (2025)
por: Li, Chunyang, et al.
Publicado: (2025)
Students' Perspective on AI Code Completion: Benefits and Challenges
por: Takerngsaksiri, Wannita, et al.
Publicado: (2023)
por: Takerngsaksiri, Wannita, et al.
Publicado: (2023)
Ejemplares similares
-
The potential of LLM-generated reports in DevSecOps
por: Lykousas, Nikolaos, et al.
Publicado: (2024) -
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian
por: Takerngsaksiri, Wannita, et al.
Publicado: (2025) -
The Enhancement of Software Delivery Performance through Enterprise DevSecOps and Generative Artificial Intelligence in Chinese Technology Firms
por: Cui, Jun
Publicado: (2024) -
DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
por: Tang, Yuheng, et al.
Publicado: (2026) -
LightSC: The Making of a Usable Security Classification Tool for DevSecOps
por: Shrestha, Manish, et al.
Publicado: (2024)