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 …

DevOps is a set of practices that combines software development and operations to enable
a continuous software product life cycle to improve the quality of software systems. Although …

Context: Large-scale software projects require interaction between many stakeholders.
Behavior-driven development (BDD) facilitates collaboration between stakeholders, and an …

Software developers in big and medium-size companies are working with millions of lines of
code in their codebases. Assuring the quality of this code has shifted from simple defect …

Based on 25 interviews with participants from four case study companies that develop large‐
scale software embedded systems, this paper presents the Test Activity Stakeholders (TAS) …

In order to increase the ability to build complex, software-intensive systems, as well as to
decrease time-to-market for new functionality, automotive companies aim to scale agile …

Context: Exploratory testing plays an important role in the continuous integration and
delivery pipelines of large-scale software systems, but a holistic and structured approach is …

Readiness for the adoption of Automated Software Engineering (ASE) tools and techniques
can vary according to the size and maturity of software companies. ASE tools and …

Continuous experimentation (CE) refers to a group of practices used by software companies
to rapidly assess the usage, value and performance of deployed software using data …

The term artificial intelligence (AI) triggers many things in terms of its inherent meaning and
potential. The notion of a machine with the same level of intellect as a human or even far …