Abstract
The complexity of product configuration systems is an important indicator of both development and maintenance effort of the systems. Existing literature proposes a couple of effort estimation approaches for configurator projects. However, these approaches do not address the issues of comprehensibility and modifiability of a configuration model. Therefore, this article proposes a metric to measure the total cognitive complexity of the configuration model corresponding to a product configuration system, expressed in the form of an UML class diagram. This metric takes into account the number and the type of attributes, constraints and the relationships between classes in an UML class diagram. The proposed metric can be used to compare two configuration models, in terms of their cognitive complexity. Moreover, a relation between development time for a PCS project and the total cognitive complexity of the corresponding configuration model is established using linear regression. To validate the proposed approach a case study is conducted where the cognitive complexity is calculated for two configuration models.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 20th Configuration Workshop |
| Publication date | 2018 |
| Pages | 61-68 |
| Publication status | Published - 2018 |
| Event | The 20th International Workshop on Configuration - Graz, Austria Duration: 27 Sep 2018 → 28 Sep 2018 Conference number: 20 http://confws.ist.tugraz.at/ConfigurationWorkshop2018/index.php/committees/ |
Conference
| Conference | The 20th International Workshop on Configuration |
|---|---|
| Number | 20 |
| Country | Austria |
| City | Graz |
| Period | 27/09/2018 → 28/09/2018 |
| Internet address |
| Series | CEUR Workshop Proceedings |
|---|---|
| ISSN | 1613-0073 |
Cite this
Ghosh, A., Kristjansdottir, K., Hvam, L., & Vareilles, É. (2018). Measuring the complexity of product configuration systems. In Proceedings of the 20th Configuration Workshop (pp. 61-68). CEUR Workshop Proceedings