DocumentCode
2120384
Title
LASR: A tool for large scale annotation of software requirements
Author
Hussain, Ishrar ; Ormandjieva, Olga ; Kosseim, Leila
Author_Institution
Dept. of Comput. Sci. & Software Eng., Concordia Univ., Montreal, QC, Canada
fYear
2012
fDate
25-25 Sept. 2012
Firstpage
57
Lastpage
60
Abstract
Annotation of software requirements documents is performed by experts during the requirements analysis phase to extract crucial knowledge from informally written textual requirements. Different annotation tasks target the extraction of different types of information and require the availability of experts specialized in the field. Large scale annotation tasks require multiple experts where the limited number of experts can make the tasks overwhelming and very costly without proper tool support. In this paper, we present our annotation tool, LASR, that can aid the tasks of requirements analysis by attaining more accurate annotations. Our evaluation of the tool demonstrate that the annotation data collected by LASR from the trained non-experts can help compute gold-standard annotations that strongly agree with the true gold-standards set by the experts, and therefore eliminate the need of conducting costly adjudication sessions for large scale annotation work.
Keywords
formal specification; information retrieval; knowledge acquisition; system documentation; LASR; annotation data; crucial knowledge extraction; gold-standard annotations; informally written textual requirements; information extraction; large scale annotation tasks; live annotation of software requirements; requirements analysis; software requirements document annotation; tool support; Business; Computer architecture; Data mining; Manuals; Pragmatics; Software; Standards; Linguistic Annotation Tool; Requirements Annotation; Software Requirements Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Empirical Requirements Engineering (EmpiRE), 2012 IEEE Second International Workshop on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4673-4363-3
Electronic_ISBN
978-1-4673-4364-0
Type
conf
DOI
10.1109/EmpiRE.2012.6347683
Filename
6347683
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