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 …

Ambiguity in natural language requirements has long been recognized as an inevitable
challenge in requirements engineering (RE). Various initiatives have been taken by RE …

Interviews are the most common and effective means to perform requirements elicitation and
support knowledge transfer between a customer and a requirements analyst. Ambiguity in …

This paper proposes a two-step approach to identifying ambiguities in natural language (NL)
requirements specifications (RSs). In the first step, a tool would apply a set of ambiguity …

In the railway safety-critical domain requirements documents have to abide to strict quality
criteria. Rule-based natural language processing (NLP) techniques have been developed to …

Ambiguity arises in requirements when a statement is unintentionally or otherwise
incomplete, missing information, or when a word or phrase has more than one possible …

System-related engineering tasks are often conducted using process models. In this context,
it is essential that these models do not contain structural or terminological inconsistencies …

Nowadays, software and systems engineers are facing many challenges when they develop
new systems. Society is expecting those systems to have high quality, provide exciting …

Privacy policies describe high-level goals for corporate data practices; regulators require
industries to make available conspicuous, accurate privacy policies to their customers …

Requirements play a critical role in the design process and are important to the project's
success. The design process is iterative, and requirements are constantly changed and …