Title :
Automatic Results Identification in Software Engineering Papers. Is it Possible?
Author :
Torres, José Alberto S ; Cruzes, Daniela S. ; Salvador, Laís Do Nascimento
Author_Institution :
Regional Center of Telematics, DPRF, Salvador, Brazil
Abstract :
This paper provides an analysis of the main methods for sentence classification in scientific papers and evaluates the feasibility of this technique in unstructured papers in Software Engineering area, in order to automatically find the study results in this area. Tests conducted with the existing methods using unstructured Test Software papers showed results far below those reported by the authors with input sets composed by structured health papers. Therefore, there is a need for new approaches to identify results in unstructured papers.
Keywords :
classification; medical information systems; software engineering; automatic results identification; scientific papers; sentence classification; software engineering papers; structured health papers; unstructured papers; unstructured test software papers; Abstracts; Classification algorithms; Context; Software; Software algorithms; Software engineering; Systematics; Information Retrieval; Scientific Paper Analisys; Systematic Review;
Conference_Titel :
Computational Science and Its Applications (ICCSA), 2012 12th International Conference on
Conference_Location :
Salvador
Print_ISBN :
978-1-4673-1691-0
DOI :
10.1109/ICCSA.2012.27