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 …

This paper presents a systematic literature review of software architecture approaches that
support the implementation of Continuous Delivery (CD) and DevOps. Its goal is to provide …

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 …

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

Background: Continuous engineering practices, such as continuous integration and
continuous deployment, see increased adoption in modern software development. A …

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 …

Background: Profiling software development projects, in order to compare them, find similar
sub-projects or sets of activities, helps to monitor changes in software processes. Since we …

Continuous integration and delivery are well-established paradigms in the software
development community. With these continuous practices come many challenges; while …

Workflow automation is taking over software development systems, helping businesses
increase efficiency, accelerate production, and adapt quickly to market changes. Combined …