In this paper, we review current requirements engineering (RE) research and identify future
research directions suggested by emerging software needs. First, we overview the state of …

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 …

Traceability—the ability to follow the life of software artifacts—is a topic of great interest to
software developers in general, and to requirements engineers and model-driven …

Abstract Model-Driven Development requires model management languages and tools for
supporting model operations such as editing, consistency checking, and transformation. At …

A software modification task often addresses several concerns. A concern is anything a
stakeholder may want to consider as a conceptual unit, including features, nonfunctional …

Comprehensive consistency management requires a strong mechanism for repair once
inconsistencies have been detected In this paper we present a repair framework for …

This survey paper presents the current state of model comparison as it applies to Model-
Driven Engineering. We look specifically at how model matching is accomplished, the …

The most distinctive thing about humans is not the thumb, of course. It is design. Unlike any
other animal, we incessantly and dramatically reshape both ourselves and our environment …

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 …

In the context of Model Driven Development, Model Transformation and Model Composition
are two essential model management tasks. In this paper, we demonstrate how both tasks …