Output details
11 - Computer Science and Informatics
Open University
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Output 0 of 0 in the submission
Output title
Speculative requirements: automatic detection of uncertainty in natural language requirements
Type
E - Conference contribution
Name of conference/published proceedings
The 20th IEEE International Requirements Engineering Conference
Volume number
-
Issue number
-
First page of article
11
ISSN of proceedings
1090-750X
Year of publication
2012
Number of additional authors
4
Additional information
<22>This paper takes our research on ambiguity detection in natural language requirements into a new direction: detecting speculative statements. We show that (like ambiguity) uncertainty in requirement statements is context dependent. Requirements Engineering 2012 (acceptance rate 15.9%) focused on how requirements engineers handle uncertainty.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-