Identification of non-functional requirements in textual specifications: A semi-supervised learning approach

Information and Software Technology

Volumn 52, Issue 4, 2010, Pages 436-445

  Casamayor, Agustin ^a,b   Godoy, Daniela ^a,b   Campo, Marcelo ^a,b  

^a University Campus   (Argentina)

^b Facultad de Ciencias Naturales e Instituto M Lillo   (Argentina)

Author keywords

Non functional requirements; Requirement classification; Semi supervised text learning

Indexed keywords

ACCURACY RATE; AUTOMATIC IDENTIFICATION; CLASSIFICATION PERFORMANCE; EARLY DETECTION; EMPIRICAL EVIDENCE; INITIAL DESIGN; ITERATIVE PROCESS; LEARNING METHODS; NATURAL LANGUAGES; NON-FUNCTIONAL REQUIREMENTS; RECOMMENDER SYSTEMS; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING; SOFTWARE DESIGNERS; SUPERVISED CLASSIFICATION; TEXT CATEGORIZATION; TEXT CLASSIFIERS;

ARCHITECTURAL DESIGN; AUTOMATION; CLASSIFIERS; COMPUTER SOFTWARE; ELECTRONIC DATA INTERCHANGE; LEARNING ALGORITHMS; QUERY LANGUAGES; SUPERVISED LEARNING;

TEXT PROCESSING;

EID: 77049100725     PISSN: 09505849     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.infsof.2009.10.010     Document Type: Article

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