| dc.contributor.author | Munialo, Samson Wanjala | |
| dc.contributor.author | Muketha, Geoffrey MuchirI | |
| dc.contributor.author | Omieno, Kelvin Kabeti | |
| dc.date.accessioned | 2019-09-11T08:09:03Z | |
| dc.date.accessioned | 2020-02-06T14:20:29Z | |
| dc.date.available | 2019-09-11T08:09:03Z | |
| dc.date.available | 2020-02-06T14:20:29Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | http://repository.must.ac.ke/handle/123456789/1023 | |
| dc.description.abstract | Determining the size, effort and cost of Service-orientedArchitecture (SOA) systems is important to facilitate project planning and eventually successful implementation of a software project. SOA approach is one of the recent software architectures that allow integration of applications within and outside the organization regardless of heterogeneous technology over a distributed network. A number of research studies have been done to measure SOA size.However, these studies are not based on software metrics rendering them to be ineffective in their estimation. This study defined a set of SOA size metricsbased onUnified Modelling Language (UML). Thestudy employedBriand’s theoretical validation to test the validity of the designed SOA size metrics. Findings from this study will provide metrics to measure SOA size more accurately and form a basis for future software engineering researchers to develop more effective and more accurate size metricsand effort estimation methods. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | International Journal of Software Engineering & Applications (IJSEA) | en_US |
| dc.subject | Service-oriented Architecture, Web services, software metrics, Unified Modelling Language, effort estimation | en_US |
| dc.title | SIZE METRICS FOR SERVICE-ORIENTED ARCHITECTUR | en_US |
| dc.type | Article | en_US |
