Software defect prediction using ensemble learning: A systematic literature review
Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …
multiple classification techniques to create an ensemble or hybrid approach. This technique …
Natural language processing for requirements engineering: A systematic map** study
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …
research and development that seeks to apply natural language processing (NLP) …
Pure: A dataset of public requirements documents
This paper presents PURE (PUblic REquirements dataset), a dataset of 79 publicly available
natural language requirements documents collected from the Web. The dataset includes …
natural language requirements documents collected from the Web. The dataset includes …
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 …
The use of nlp-based text representation techniques to support requirement engineering tasks: A systematic map** review
Natural Language Processing (NLP) is widely used to support the automation of different
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …
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 …
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 …
Detecting terminological ambiguity in user stories: Tool and experimentation
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 …
Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study
Acceptance testing is crucial to determine whether a system fulfills end-user requirements.
However, the creation of acceptance tests is a laborious task entailing two major …
However, the creation of acceptance tests is a laborious task entailing two major …
Detecting requirements defects with NLP patterns: an industrial experience in the railway domain
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 …
criteria. Rule-based natural language processing (NLP) techniques have been developed to …