An empirical study on classification of non-functional requirements

SEKE 2011 - Proceedings of the 23rd International Conference on Software Engineering and Knowledge Engineering

Volumn , Issue , 2011, Pages 444-449

  Zhang, Wen ^a   Yang, Ye ^a   Wang, Qing ^a   Shu, Fengdi ^a  

^a INSTITUTE OF SOFTWARE   (China)

Author keywords

Automatic classification; Non functional requirements; Support vector machine

Indexed keywords

AUTOMATIC CLASSIFICATION; CLASSIFICATION PERFORMANCE; DATA SETS; EMPIRICAL STUDIES; INDEX TERMS; LINEAR KERNEL; MULTI-WORD; NON-FUNCTIONAL REQUIREMENTS; SMALL SIZE; SOFTWARE SYSTEMS; SUPPORT VECTOR; SVM(SUPPORT VECTOR MACHINE); TEXT MINING TECHNIQUES; TEXT REPRESENTATION;

EXPERIMENTS; KNOWLEDGE ENGINEERING; SEMANTICS; SUPPORT VECTOR MACHINES;

SOFTWARE ENGINEERING;

EID: 84862953188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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