Name
Abstract | ||
|---|---|---|
Requirements management for globally managed large scale projects is a complex task, primarily due to the involvement of several stakeholders, multiple technologies, enormous information, and frequently changing business needs. Managing requirements communicated through mediums such as emails, chat messages, etc. is difficult due the lack of explicit context and the extensive use of unstructured information. This paper describes a requirements management framework, C-FaRM, which helps in managing requirements knowledge from multiple types of requirements artifacts. The framework makes use of custom ontology based recommender system that helps in prioritization, visualization, and negotiation of requirements. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/MARK.2011.6046560 | MARK@RE |
Keywords | Field | DocType |
ontologies (artificial intelligence),recommender systems,software engineering,c-farm framework,collaborative framework,context aware framework,custom ontology based recommender system,requirements management,requirements negotiation,requirements prioritization,requirements visualization,recommender system | Computer science,Requirements engineering,Knowledge management,Requirements analysis,Requirements elicitation,Requirements management,Requirement,Business requirements,System requirements specification,Requirements traceability | Conference |
ISBN | Citations | PageRank |
978-1-4577-0938-8 | 1 | 0.35 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ghosh, S. | 1 | 9 | 3.85 |
| Dubey, A. | 2 | 3 | 3.75 |
| srini ramaswamy | 3 | 337 | 45.77 |