Abstract | ||
---|---|---|
Identifying aspects at an early stage helps to achieve separation of crosscutting concerns in the initial system analysis, instead of deferring such decisions to later stages of design and code, and thus, having to perform costly refactorings. This paper describes the early-AIM (early aspects identification method) approach that utilises corpus-based natural language processing (NLP) techniques to effectively enable the identification and modelling of early aspects in a semi-automated way. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1109/RE.2005.24 | RE |
Keywords | Field | DocType |
identifying aspect,crosscutting concern,natural language processing,costly refactorings,early stage,identifying aspects,early-aim approach,later stage,initial system analysis,early aspect,natural languages,system analysis,object oriented programming,formal specification | Programming language,Object-oriented programming,Computer science,Formal specification,Natural language programming,Natural language | Conference |
ISBN | Citations | PageRank |
0-7695-2425-7 | 6 | 0.60 |
References | Authors | |
3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Americo Sampaio | 1 | 116 | 9.35 |
Awais Rashid | 2 | 2041 | 149.78 |
Paul Rayson | 3 | 538 | 54.59 |