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Leveraging natural-language requirements for deriving bette..:

, In: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems,

Veizaga, Alvaro ; Alferez, Mauricio ; Torre, Damiano... - p. 218-228 , 2020

Link: https://dl.acm.org/doi/10.1145/3365438.3410953

RT 
T1 <cTitle>Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems</cTitle>: T1 <Title>Leveraging natural-language requirements for deriving better acceptance criteria from models</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3410953&Exemplar=1&LAN=DE
				
A1 Veizaga, Alvaro
A1 Alferez, Mauricio
A1 Torre, Damiano
A1 Sabetzadeh, Mehrdad
A1 Briand, Lionel
A1 Pitskhelauri, Elene
PB ACM
YR 2020
K1 UML
K1 acceptance criteria
K1 acceptance testing
K1 controlled natural language
K1 gherkin
K1 requirements validation and verification
K1 Software and its engineering
K1 Software notations and tools
K1 Context specific languages
K1 Domain specific languages
K1 Software organization and properties
K1 Software system structures
K1 Abstraction, modeling and modularity
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Information extraction
K1 Software creation and management
K1 Software verification and validation
K1 Process validation
K1 Acceptance testing
K1 Software system models
K1 Model-driven software engineering
SP 218
OP 228
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3365438.3410953
DO https://dl.acm.org/doi/10.1145/3365438.3410953
SF ELIB - SuUB Bremen

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