• Kapil Kumar Verma

A rather complex task in the performance analysis of software architectures has always been the interpretation of the analysis results and the generation of feedback that may help developers to improve their architecture with alternative "better performing" solutions. This is due, on one side, to the fact that performance analysis results may be rather complex to interpret (e.g., they are often collections of different indices) and, on the other side, to the problem of coupling the "right" architectural alternatives to results, that are the alternatives that allow to improve the performance by resolving critical issues in the architecture. In this paper we propose a framework to interpret the performance analysis results and to propose alternatives to developers to improve their architectural designs. The interpretation of results is based on the ability to automatically recognize performance anti-patterns in the software architecture.

Software Performance, Layered Queuing Networks, Architectural feedback, Performance indices

"Automated generation of structured feedback from software performance analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.572-574, June 2019, Available :http://www.jetir.org/papers/JETIR1907224.pdf

"Automated generation of structured feedback from software performance analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp572-574, June 2019, Available at : http://www.jetir.org/papers/JETIR1907224.pdf