Abstract
There are many advantages to analyzing performance at the design level, rather than waiting until system testing. However the necessary expertise in making and interpreting performance models may not be available, and the time for the analysis may be prohibitive. This work addresses both these difficulties through automation. Starting from an annotated specification in UML, it is possible to automatically derive a performance model. This work goes further to automate the performance analysis, and to explore design changes using diagnostic and design-change rules. The rules generate improved performance models which can be transformed back to an improved design. They untangle the effects of the system configuration (such as the allocation of processors) from limitations of the design, and they recommend both configuration and design improvements. This paper describes a prototype called Performance Booster (PB), which incorporates several rules, and demonstrates its feasibility by applying PB to the design of several case studies (tutorial and industrial). It also addresses how the changes at the level of a performance model should be implemented in the software.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
