The idea for this book arose from a series of lectures on modern programming paradigms,
feature-oriented programming, and software product lines that are continuously held at the …

In the era of mobile devices and the Internet of things, software systems are ubiquitous. A
multitude of hardware specifics, fast development of applications, and the need of …

Abstract Context: The adoption of Software Product Line Engineering (SPLE) is usually only
based on its theoretical benefits instead of empirical evidences. In fact, there is no work that …

Programming experience is an important confounding parameter in controlled experiments
regarding program comprehension. In literature, ways to measure or control programming …

Machine Learning Operations (MLOps) is the practice of streamlining and optimising the
machine learning (ML) workflow, from development to deployment, using DevOps (software …

Program comprehension is the main activity of the software developers. Although there has
been substantial research to support the programmer, the high amount of time developers …

Neural models of code are successfully tackling various prediction tasks, complementing
and sometimes even outperforming traditional program analyses. While most work focuses …

Data visualization aims to convey quantitative and qualitative information effectively by
determining which techniques and visualizations are most appropriate for different situations …

Almost every sufficiently complex software system today is configurable. Conditional
compilation is a simple variability-implementation mechanism that is widely used in open …

Highly-configurable software systems are pervasive, although configuration options and
their interactions raise complexity of the program and increase maintenance effort …