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 …

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 interviews with 20 interviewees from four case study companies, this paper
presents a list of key factors that enable efficient and effective exploratory testing of large …

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 …

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 …

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 …

Agile software development is well-known for its focus on close customer collaboration and
customer feedback. In emphasizing flexibility, efficiency and speed, agile practices have led …

Based on multiple series of interviews and workshops, this paper presents the MaLET model–
a representation of the typical evolution path for companies who successfully adopt …