Name
Abstract | ||
|---|---|---|
One of the aims of Aspect-Oriented Requirements Engineering is to address the composability and subsequent analysis of crosscutting and non-crosscutting concerns during requirements engineering. Composing concerns may help to reveal conflicting dependencies that need to be identified and resolved. However, detecting conflicts in a large set of textual aspect-oriented requirements is an error-prone and time-consuming task. This paper presents EA-Analyzer, the first automated tool for identifying conflicts in aspect-oriented requirements specified in natural-language text. The tool is based on a novel application of a Bayesian learning method that has been effective at classifying text. We present an empirical evaluation of the tool with three industrial-strength requirements documents from different real-life domains. We show that the tool achieves up to 92.97% accuracy when one of the case study documents is used as a training set and the other two as a validation set. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ASE.2009.31 | ASE |
Keywords | Field | DocType |
requirements engineering,large set,aspect-oriented requirement,industrial-strength requirements document,aspect-oriented requirements engineering,textual aspect-oriented requirement,requirements composition,aspect-oriented software development,automated tool,classifying text,validation set,aspect-oriented requirements,training set,conflicting dependencies,automating conflict detection,requirements analysis,natural-language text,encryption,text analysis,requirement analysis,protocols,bayesian learning,natural language,software engineering,requirement engineering,servers,accuracy | Data mining,Aspect-oriented programming,Software engineering,Systems engineering,Computer science,Server,Requirements engineering,Requirements analysis,Encryption,Aspect-oriented software development,Requirements management,Composability | Conference |
ISSN | Citations | PageRank |
1527-1366 | 3 | 0.38 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Sardinha | 1 | 36 | 8.27 |
| Ruzanna Chitchyan | 2 | 531 | 42.59 |
| Nathan Weston | 3 | 100 | 6.23 |
| Phil Greenwood | 4 | 348 | 20.93 |
| Awais Rashid | 5 | 2041 | 149.78 |