Published Paper Details:

Over the last decade, research has highlighted the importance of integrating the performance analysis in the software development process. Software Performance Engineering (SPE) has been recognized as the discipline that represents the entire collection of engineering activities, used throughout the software development cycle, and directed to meet performance requirements. Performance is in fact an essential quality attribute of every software system; it is a complex and a pervasive property difficult to understand. If performance targets are not met, a variety of negative consequences (such as damaged customer relations, business failures, lost income, etc.) can impact on a significant fraction of projects. Performance problems cause delays, failures on deployment, redesigns, even a new implementation of the system or abandonment of projects, which lead to significant costs. All these factors motivate the activities of modeling and analyzing the performance of software systems at the earlier phases of the lifecycle by reasoning on predictive quantitative. To provide an automated feedback to make the performance analysis results usable at the software architectural level. Results in order to avoid an expensive rework, possibly involving the overall software system.