Name
Abstract | ||
|---|---|---|
The rationale for a software system captures the designers’ and developers’ intent behind the decisions made during its development. This information has many potential uses but is typically not captured explicitly. This paper describes an initial investigation into the use of text mining and parsing techniques for identifying rationale from existing documents. Initial results indicate that the use of linguistic features results in better precision but significantly lower recall than using text mining.
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Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICSE.2012.6227091 | Software Engineering |
Keywords | Field | DocType |
software system,better precision,initial investigation,initial result,linguistic features result,text mining,potential use,rationale extraction,lower recall,exploring technique,parsing technique,software engineering,ontologies,data mining,grammars,text analysis,pragmatics,feature extraction,software systems,logic gates | Rule-based machine translation,Pragmatics,Systems engineering,Computer science,Software system,Natural language processing,Artificial intelligence,Ontology (information science),Information retrieval,Feature extraction,Parsing,Recall,IDEF6 | Conference |
Volume | ISSN | ISBN |
2 | 0270-5257 E-ISBN : 978-1-4673-1065-9 | 978-1-4673-1067-3 |
Citations | PageRank | References |
3 | 0.40 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Rogers | 1 | 3 | 0.40 |
| James Gung | 2 | 8 | 1.17 |
| Yechen Qiao | 3 | 7 | 0.79 |
| Janet E. Burge | 4 | 172 | 26.51 |