On the relationship between similar requirements and similar software

Recommender systems for requirements are typically built on the assumption that similar requirements can be used as proxies to retrieve similar software. When a stakeholder proposes a new requirement, natural language processing (NLP)-based similarity metrics can be exploited to retrieve existing re...

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Veröffentlicht in:	Requirements engineering Jg. 28; H. 1; S. 23 - 47
Hauptverfasser:	Abbas, Muhammad, Ferrari, Alessio, Shatnawi, Anas, Enoiu, Eduard, Saadatmand, Mehrdad, Sundmark, Daniel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer Nature B.V 01.03.2023
Schlagworte:	Computation Correlation Deep learning Empirical analysis Impact analysis Natural language processing Qualitative analysis Recommender systems Retrieval Similarity Software engineering Software reuse
ISSN:	0947-3602, 1432-010X
Online-Zugang:	Volltext
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