Although primarily studied in the context of product lines, variability is a key fact about most systems and therefore a concern for the architectures of those systems. Thus it is...
This paper describes our experiences in exploring the applicability of software engineering approaches to scientific data management problems. Specifically, this paper describes h...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...
Abstract. Feature Models (FMs) are a key artifact for variability and commonality management in Software Product Lines (SPLs). In this context, the merging of FMs is being recogniz...
Sergio Segura, David Benavides, Antonio Ruiz Cort&...
When creating software, data types are the basic bricks. Most of the time a programmer will use data types defined in library modules, therefore being tested by many users over ma...
: Value-based requirements engineering focuses on the alignment of requirements engineering decisions and business value decisions. There is much evidence on the importance of this...