Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …

The purpose of this study is to summarize the pattern recognition (PR) and deep learning
(DL) artificial intelligence methods developed for the management of data in the last six …

This paper identifies and tackles the challenges of the requirements engineering discipline
when applied to development of AI-based complex systems. Due to their complex …

Research has repeatedly shown that high-quality requirements are essential for the success
of development projects. While the term “quality” is pervasive in the field of requirements …

Today, many industrial processes are undergoing digital transformation, which often
requires the integration of well-understood domain models and state-of-the-art machine …

In this work, we integrate the concepts of Industry 4.0, smart manufacturing, and sustainable
manufacturing in a model that provides a conceptual framework for the study of long-term …

Despite growing interest in smart manufacturing, there is little information on how
organizations can approach the alignment of strategic processes with Industry 4.0. This …

Process mining helps infer valuable insights about business processes using event logs,
whereas goal modeling focuses on the representation and analysis of competing goals of …

This Open Access book presents the results of the" Collaborative Embedded
Systems"(CrESt) project, aimed at adapting and complementing the methodology underlying …

User stories are commonly used to capture user needs in agile methods due to their ease of
learning and understanding. Yet, the simple structure of user stories prevents us from …