The non-functional properties of a software system are determined by its architecture, and these characteristics are subsequently developed into quality models. In the context of this study, we look at the performance of a system, one component. The great majority of performance quality assessment models have been developed and statistically proven. By using a performance quality model we develop and propose, the Software Architecture Scenario-Based Performance Quality Model, in this study, we take a qualitative approach to performance issues (SASPUM). The current normal operating procedure for software architects is to attempt to discover solutions manually, which is time-consuming, rife with the possibility of mistake, and can lead to less-than-ideal designs. Here, we propose an automated technique for scanning the design space for workable solutions. The method starts with a preset beginning architectural model and then iteratively modifies and evaluates architectural models. Our method brings a multi-criteria evolutionary algorithm to the challenge of developing software architectures using the Palladio Component Model as a foundation. It enables quantitative performance, reliability, and cost prediction, and it may be expanded to include more quantitative quality criteria of software structures. Applying the method to new construction can help identify potential issues sooner, when solving them will be easier and less expensive. It may also be used to decide whether to continue investing resources in the current architecture or switch to a new one while updating outdated systems. This is done by evaluating the benefits and drawbacks of each choice.

Architecture , Approach , Improving , Software , Performance