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Ambiguity in user stories: A systematic literature review
Context Ambiguity in user stories is a problem that has received little research attention. Due
to the absence of review studies, it is not known how and to what extent this problem, which …
to the absence of review studies, it is not known how and to what extent this problem, which …
Learning from disagreement: A survey
Abstract Many tasks in Natural Language Processing (NLP) and Computer Vision (CV) offer
evidence that humans disagree, from objective tasks such as part-of-speech tagging to more …
evidence that humans disagree, from objective tasks such as part-of-speech tagging to more …
Resolving ambiguities in natural language software requirements: a comprehensive survey
Requirements Engineering is one of the most vital activities in the entire Software
Development Life Cycle. The success of the software is largely dependent on how well the …
Development Life Cycle. The success of the software is largely dependent on how well the …
Automated handling of anaphoric ambiguity in requirements: a multi-solution study
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 requirements is when a pronoun is anaphoric. In requirements engineering …
An online learned CRF model for multi-target tracking
We introduce an online learning approach for multitarget tracking. Detection responses are
gradually associated into tracklets in multiple levels to produce final tracks. Unlike most …
gradually associated into tracklets in multiple levels to produce final tracks. Unlike most …
Automated checking of conformance to requirements templates using natural language processing
Templates are effective tools for increasing the precision of natural language requirements
and for avoiding ambiguities that may arise from the use of unrestricted natural language …
and for avoiding ambiguities that may arise from the use of unrestricted natural language …
An NLP approach for cross-domain ambiguity detection in requirements engineering
During requirements elicitation, different stakeholders with diverse backgrounds and skills
need to effectively communicate to reach a shared understanding of the problem at hand …
need to effectively communicate to reach a shared understanding of the problem at hand …
Automated extraction and clustering of requirements glossary terms
A glossary is an important part of any software requirements document. By making explicit
the technical terms in a domain and providing definitions for them, a glossary helps mitigate …
the technical terms in a domain and providing definitions for them, a glossary helps mitigate …
Detecting terminological ambiguity in user stories: Tool and experimentation
F Dalpiaz, I Van Der Schalk, S Brinkkemper… - Information and …, 2019 - Elsevier
Context. Defects such as ambiguity and incompleteness are pervasive in software
requirements, often due to the limited time that practitioners devote to writing good …
requirements, often due to the limited time that practitioners devote to writing good …
Using domain-specific corpora for improved handling of ambiguity in requirements
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 …
the requirements engineering community for more than two decades. A fully manual …