| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Jansen, S. | |
| dc.contributor.advisor | Van Der Werf, J.M.E.M. | |
| dc.contributor.author | Guelen, J.P.J. | |
| dc.date.accessioned | 2015-03-17T18:00:38Z | |
| dc.date.available | 2015-03-17T18:00:38Z | |
| dc.date.issued | 2015 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/19542 | |
| dc.description.abstract | The architecture of a software system contains the most important choices made in the
design of the system. The development team makes most of these decisions early in the
development process, as many other decisions depend on them. This thesis follows the
reasoning of Denaro et al. (2005) that many performance problems can be prevented by
having insight into application performance the early stages of development.
In this thesis an adaption to this method is proposed: the continuous performance
method. This method in combination with the a set of tools described is this thesis allows for insight into the performance of the
current and alternative architectures. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 5262975 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | Informed CQRS design with continuous performance testing | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | Performance testing, Continuous performance, Early performance testing,
Workload characterization, Test workload generation, CQRS, Software architecture | |
| dc.subject.courseuu | Business Informatics | |
