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Output details

11 - Computer Science and Informatics

University of Leicester

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Output 25 of 71 in the submission
Article title

EA-Analyzer: automating conflict detection in a large set of textual aspect-oriented requirements

Type
D - Journal article
Title of journal
Automated Software Engineering
Article number
-
Volume number
20
Issue number
1
First page of article
111
ISSN of journal
1573-7535
Year of publication
2012
URL
-
Number of additional authors
4
Additional information

<09>This work (incepted as a collaboration between FTP 7 Diva project https://sites.google.com/site/divawebsite/ and a Marie Curie fellow) is the first to demonstrate viability of automated conflict identification in textual requirements in aspect-oriented requirements engineering context. By leveraging Bayesian analysis and probabilistic techniques, it demonstrates that a high degree of automation is achievable in what is still a human-lead, time and effort intensive activity. It could result in reduction of cognitive load on requirements engineers, notably improving their productivity. EA-Analyzer also presents a solution to the complexity analysis problem faced in our previous (highly cited) work on semantics-based composition in requirements.

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
-