STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Advances in Shell Programming Review Article

Autonomous Scripting: The Future of AI-Enhanced Shell Programming for DevOps and Security

  1. Ushaa Eswaran Department of Electronics and Communication Engineering, Mahalakshmi Tech Campus, Anna university, Chennai

Abstract

The evolution of operating systems has seen a paradigm shift with the integration of artificial intelligence, quantum computing, and edge computing technologies. Autonomous scripting, driven by AI, is transforming DevOps workflows and security paradigms, enabling self-healing systems, predictive automation, and intelligent threat detection. This study explores the role of AI-enhanced shell programming in the automation landscape, discussing its implications for next-generation operating systems. It further delves into the integration of quantum algorithms for enhanced computational efficiency and the impact of edge computing on real-time automation. Various mathematical models are examined to assess performance metrics, and experimental results highlight the feasibility of these advancements. Ethical considerations, case studies, technical challenges, and future trends are also explored to provide a comprehensive understanding of the topic.

Keywords

References (15)

  1. Spinellis D, Avgeriou P. Evolution of the Unix system architecture: an exploratory case study. IEEE Trans Softw Eng. 2019 May 2; 47(6): 1134–63.
  2. Liu S, Liu L, Tang J, Yu B, Wang Y, Shi W. Edge computing for autonomous driving: Opportunities and challenges. Proc IEEE. 2019 Jun 24; 107(8): 1697–716.
  3. Eswaran U, Eswaran V. Quantum Machine Learning, Leveraging AI, and Semiconductor Technology. Advances in Mechatronics and Mechanical Engineering. 2024:57-78. doi:10.4018/979-8-3693-7076-6.ch003
  4. Ahmed MI. Open-Source Tools for Cloud-Native DevOps. In: Cloud-Native DevOps: Building Scalable and Reliable Applications. Berkeley, CA: Apress; 2024 Jul 6; 179–217.
  5. Khan LU, Yaqoob I, Tran NH, Kazmi SA, Dang TN, Hong CS. Edge-computing-enabled smart cities: A comprehensive survey. IEEE Internet Things J. 2020 Apr 10; 7(10): 10200–32.
  6. Eswaran U, Eswaran V, Eswaran V. AI Technologies for Personalised and Sustainable Tourism. Pennsylvania, United States: IGI Global; 2025. p. 1–30.
  7. Raheman F, Bhagat T, Batalla A. Reviewing the SAE Levels of Driving Automation and Research Gaps to Accelerate the Development of a Quantum-Safe CCAM Infrastructure. J Transp Technol. 2024 Aug 29; 14(4): 463–99.
  8. Yu W, Liang F, He X, Hatcher WG, Lu C, Lin J, Yang X. A survey on the edge computing for the Internet of Things. IEEE Access. 2017 Nov 29; 6: 6900–19.
  9. Alshaer NA, Ismail TI. AI-Driven Quantum Technology for Enhanced 6G networks: Opportunities, Challenges, and Future Directions. Journal of Laser Science and Applications (JLSA). 2024 Jul 1; 1(1): 21–30.
  10. Donca IC, Stan OP, Misaros M, Gota D, Miclea L. Method for continuous integration and deployment using a pipeline generator for agile software projects. Sensors. 2022 Jun 20; 22(12): 4637.
  11. Wang Z, Li J, Chen XB, Li C. A secure cross-chain transaction model based on quantum multi-signature. Quantum Inf Process. 2022 Aug 13; 21(8): 279.
  12. Khisty VH. Edge computing: revolutionizing industrial automation for enhanced efficiency and reliability. International Journal of Computer Engineering and Technology (IJCET). 2024 Aug 5; 15(4): 273–86.
  13. Eswaran U, Khang A. Artificial Intelligence (AI)-Aided Computer Vision (CV) in Healthcare System. Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem. 2024:125-137. doi:10.1201/9781003429609-8
  14. Sarker IH, Janicke H, Mohsin A, Gill A, Maglaras L. Explainable AI for cybersecurity automation, intelligence and trustworthiness in digital twin: Methods, taxonomy, challenges and prospects. ICT Express. 2024 May 21; 10(4): 935–958.
  15. Cai R, Wu C, Jin H. On the efficiency of adaptive collaborative scripts in learning: a systematic literature review on fading-out scripts, adaptive scripts, and self-adaptive scripts. Interact Learn Environ. 2024 Jul 10; 1–25.
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