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

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

Context. Defects such as ambiguity and incompleteness are pervasive in software
requirements, often due to the limited time that practitioners devote to writing good …

Abstract [Context and motivation] Identifying requirements defects such as ambiguity and
incompleteness is an important and challenging task in requirements engineering …

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 …

[Context] Semantic legal metadata provides information that helps with understanding and
interpreting the meaning of legal provisions. Such metadata is important for the systematic …

In the software process, unresolved natural language (NL) ambiguities in the early
requirements phases may cause problems in later stages of development. Although …

In this paper we provide empirical evidence that the rating that an app attracts can be
accurately predicted from the features it offers. Our results, based on an analysis of 11,537 …

Failure studies are important in revealing the root causes, behaviors, and life cycle of defects
in software systems. These studies either focus on understanding the characteristics of …