Software engineering and intelligent systems are two dynamic and interrelated fields that have witnessed significant advancements and transformations in recent years. The convergence of these domains has led to the development of innovative applications and solutions that are shaping various industries, from healthcare and finance to transportation and manufacturing.
This Research Topic aims to serve as a platform for researchers and practitioners to share their insights, findings, and innovations in this exciting and rapidly evolving intersection of software engineering and intelligent systems. Intelligent systems, often powered by artificial intelligence (AI) and machine learning (ML), have seen remarkable growth and adoption in various domains.
We invite researchers and practitioners from academia and industry to contribute their original work to this article collection.
Topics of interest include but are not limited to the following:
- AI in Software Development;
- Adaptive and Self-Learning Software;
- Data Science and Big Data in Software Engineering;
- Software Engineering Methodologies;
- Artificial Intelligence and Machine Learning;
- Case Studies and Industry Applications.
Extended versions of work presented at the “Austrian Conference on Research at Universities of Applied Sciences (FHK Konferenz 2024)” are particularly welcome to submit to this journal. Extended versions should have at least 30% novel content.
Keywords:
Software Engineering, Artificial Intelligence, Intelligent Systems, Data Science, Machine Learning
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Software engineering and intelligent systems are two dynamic and interrelated fields that have witnessed significant advancements and transformations in recent years. The convergence of these domains has led to the development of innovative applications and solutions that are shaping various industries, from healthcare and finance to transportation and manufacturing.
This Research Topic aims to serve as a platform for researchers and practitioners to share their insights, findings, and innovations in this exciting and rapidly evolving intersection of software engineering and intelligent systems. Intelligent systems, often powered by artificial intelligence (AI) and machine learning (ML), have seen remarkable growth and adoption in various domains.
We invite researchers and practitioners from academia and industry to contribute their original work to this article collection.
Topics of interest include but are not limited to the following:
- AI in Software Development;
- Adaptive and Self-Learning Software;
- Data Science and Big Data in Software Engineering;
- Software Engineering Methodologies;
- Artificial Intelligence and Machine Learning;
- Case Studies and Industry Applications.
Extended versions of work presented at the “Austrian Conference on Research at Universities of Applied Sciences (FHK Konferenz 2024)” are particularly welcome to submit to this journal. Extended versions should have at least 30% novel content.
Keywords:
Software Engineering, Artificial Intelligence, Intelligent Systems, Data Science, Machine Learning
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.