AI-based systems are software systems with functionalities enabled by at least one AI
component (eg, for image-, speech-recognition, and autonomous driving). AI-based systems …

Advances in machine learning (ML) algorithms and increasing availability of computational
power have resulted in huge investments in systems that aspire to exploit artificial …

The number and importance of AI-based systems in all domains is growing. With the
pervasive use and the dependence on AI-based systems, the quality of these systems …

Abstract Although Artificial Intelligence (AI) has become a buzzword for self-organizing IT
applications, its relevance to software engineering has hardly been analyzed systematically …

As Artificial Intelligence (AI) techniques become more powerful and easier to use they are
increasingly deployed as key components of modern software systems. While this enables …

The First Symposium on Software Engineering for Machine Learning Applications (SEMLA)
aimed to create a space in which machine learning (ML) and software engineering (SE) …

Artificial Intelligence (AI) or Machine Learning (ML) systems have been widely adopted as
value propositions by companies in all industries in order to create or extend the services …

Ethical considerations play a pivotal role in the development and deployment of AI-driven
software systems, shaping their impact on individuals, societies, and the broader global …

The author provides, based on 20 years of research and industrial experience, his
assessment of software engineering research. He then builds on such analysis to provide …

In the rapidly evolving landscape of software engineering, the integration of artificial
intelligence (AI) and machine learning (ML) technologies presents both opportunities and …