Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

Context: The global software industry and the software engineering (SE) academia are two
large communities. However, unfortunately, the level of joint industry-academia …

Background: A good search strategy is essential for a successful systematic literature study.
Historically, database searches have been the norm, which was later complemented with …

This textbook, which has become the leading source for empirical software engineering
research through its earlier editions, provides an in-depth introduction to experimentation in …

Background: The literature concerning research methodologies and methods has increased
in software engineering in the last decade. However, there is limited guidance on selecting …

Software startup companies develop innovative, software-intensive products within limited
time frames and with few resources, searching for sustainable and scalable business …

Computing systems form the backbone of many areas in our society, from manufacturing to
traffic control, healthcare, and financial systems. When software plays a vital role in the …

University-industry R&D collaborations (UICs) play a vital role in stimulating open innovation
that leads to new products, processes, and services that creates value for customers and …

Context: Research collaborations between software engineering industry and academia can
provide significant benefits to both sides, including improved innovation capacity for …

Context Software testing is an important and costly software engineering activity in the
industry. Despite the efforts of the software testing research community in the last several …