Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …

Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

Recently, we have been witnessing a rapid increase in the use of machine learning
techniques in self-adaptive systems. Machine learning has been used for a variety of …

Context: While most research shows positive effects of gamification, the focus on its adverse
effects is considerably smaller and further understanding of these effects is needed …

A variety of research methods and techniques are available to SE researchers, and while
several overviews exist, there is consistency neither in the research methods covered nor in …

Machine learning (ML) has become a core feature for today's real-world applications,
making it a trending topic for the software engineering community. Requirements …

Agile software development has large success rate due to its benefits and promising nature
but natively where the size of the project is small. Requirement engineering (RE) is crucial …

Context: To provide privacy-aware software systems, it is crucial to consider privacy from the
very beginning of the development. However, developers do not have the expertise and the …

During requirements elicitation, different stakeholders with diverse backgrounds and skills
need to effectively communicate to reach a shared understanding of the problem at hand …

Requirements Engineering (RE) has established itself as a software engineering discipline
over the past decades. While researchers have been investigating the RE discipline with a …