Name
Abstract | ||
|---|---|---|
The need of defining quantitative and objective measures to assess the quality of a conceptual model cannot be over-emphasized. This paper proposes a set of easy-to-apply quantitative metrics which can measure the structural complexity of a given conceptual model in terms of its two important characteristics namely understandability and modifiability. Correctness of a conceptual model is identified as an important characteristic to discuss understandability. A metric for correctness is also defined. The application of these metrics is demonstrated with the help of a scenario and the resulting metrics values are compared to discuss the structural complexity of given conceptual models. |
Year | Venue | Keywords |
|---|---|---|
2005 | PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL MULTI-CONFERENCE ON AUTOMATION, CONTROL, AND INFORMATION TECHNOLOGY - SOFTWARE ENGINEERING | quality metrics, conceptual model, entity-relationship diagram, structural complexity |
Field | DocType | Citations |
Structural complexity,Conceptual model,Computer science,Theoretical computer science,Conceptual model (computer science),Domain model | Conference | 2 |
PageRank | References | Authors |
0.38 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tauqeer Hussain | 1 | 21 | 4.15 |
| Shafay Shamail | 2 | 94 | 14.24 |
| Mian Awais | 3 | 59 | 11.53 |