Identifying ideal values of parameters for software performance testing

Performance is the most imperative feature concerned with the quality of software. Performance testing provides the proof of performance of the product and set a baseline for further enhancement in the application. Software performance is dependent on various factors like response, speed and underling resources. In this paper we have identified critical factors affecting software performance and derived the measures and matrices related to performance. We have performed statistical mining to find the confidence interval of critical parameters which plays important role in software performance. Our research for Software Performance analysis is a systematic, quantitative and qualitative way in the direction of supporting performance sensitive software systems development that meet performance objectives and prevents performance problems.