Name
Abstract | ||
|---|---|---|
Goal-oriented models have become a consolidated type of artefact in various software and knowledge engineering activities. Several languages exist for representing such type of models but there is a lack of associated methodologies for guiding their construction up to the necessary level of detail. In this paper we present RiSD, a methodology for building Strategic Dependency (SD) models in the i* notation. RiSD is defined in a prescriptive way to reduce uncertainness when constructing the model. RiSD also tackles two fundamental issues: on the one hand, it tends to reduce the average size of the resulting models and, on the other hand, it allows including some traceability relationships in the resulting models. As a result, we may say that RiSD increases the understandability of goal-oriented models whilst improving all construction. |
Year | Venue | DocType |
|---|---|---|
2005 | SEKE | Conference |
Citations | PageRank | References |
11 | 0.71 | 8 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gemma Grau | 1 | 188 | 16.64 |
| Xavier Franch | 2 | 1627 | 194.38 |
| Enric Mayol | 3 | 213 | 72.52 |
| Claudia P. Ayala | 4 | 203 | 22.26 |
| Carlos Cares | 5 | 117 | 15.56 |
| Mariela Haya | 6 | 38 | 3.30 |
| Fredy Navarrete | 7 | 47 | 4.33 |
| Pere Botella | 8 | 190 | 43.35 |
| Carme Quer | 9 | 297 | 33.05 |