Abstract Model transformation is one of the basic principles of Model Driven Architecture. To
build a software system, a sequence of transformations is performed, starting from …

Context In large software development projects a huge number of unstructured text
documents from various stakeholders becomes available and needs to be analyzed and …

The success of information systems (IS) development strongly depends on the accuracy of
the requirements gathered from users and other stakeholders. When developing a new IS …

Ambiguity is a pervasive issue in natural-language requirements. A common source of
ambiguity in requirements is when a pronoun is anaphoric. In requirements engineering …

Bad requirements quality can cause expensive consequences during the software
development lifecycle, especially if iterations are long and feedback comes late. We aim at a …

Extracting conceptual models from natural language requirements can help identify
dependencies, redundancies, and conflicts between requirements via a holistic and easy-to …

Natural language (NL) is still the predominant notation that practitioners use to represent
software requirements. Albeit easy to read, NL does not readily highlight key concepts and …

Ambiguity in natural-language requirements is a pervasive issue that has been studied by
the requirements engineering community for more than two decades. A fully manual …

Domain modeling is an important step in the transition from natural-language requirements
to precise specifications. For large systems, building a domain model manually is a …

To model the data and functions in various computer science applications, the researcher
uses a Data Flow Diagram (DFD). DFD has been constructed using [open-source software …