Accelerating DevOps with Artificial Intelligence Techniques
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".
Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 3994
Special Issue Editors
Interests: machine learning; agent technology; cognitive bots; natural language processing
Special Issues, Collections and Topics in MDPI journals
Interests: multiagent systems; social computing; linked data; natural language processing; affect technology; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: agents; social simulation; machine learning; social networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
DevOps is a popular software development methodology that connects development, quality control, and technical operations to create a channel for the effective production of high-quality software systems. Although there are several DevOps technologies and tools, the application of DevOps requires software companies to compose and integrate their own set of tools, which is a major obstacle to the application of DevOps.
For instance, Big Data software systems are among the systems for which DevOps is extremely beneficial, as Big Data system architectures are too intricate and distributed to be managed and evolved through traditional software engineering methodologies. However, DevOps’ approaches and tools for Big Data systems still require a great amount of effort. Therefore, the aim of the Special Issue is to collect the most recent innovation in the application of artificial intelligent techniques for accelerating DevOps adoption in the industry. We would like to gather researchers from different disciplines and methodological backgrounds to discuss new ideas, research questions, recent results, and future challenges in this emerging area of research and public interest. Potential topics include but are not limited to:
- Intelligent automation in DevOps;
- Machine learning in DevOps;
- Monitoring and optimization in DevOps;
- Semantic orchestration in DevOps.
Dr. Álvaro Carrera Barroso
Dr. Carlos A. Iglesias
Dr. J. Fernando Sánchez-Rada
Guest Editors
Manuscript Submission Information
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Keywords
- DevOps
- Artificial Intelligence
- machine learning
- monitoring
- automation
- semantic
