کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6885350 1444509 2018 30 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An efficient method for uncertainty propagation in robust software performance estimation
ترجمه فارسی عنوان
یک روش کارآمد برای انتشار عدم اطمینان در برآورد عملکرد نرم افزاری قوی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
To address the computational inefficiency of existing approaches, we employ Polynomial Chaos Expansion (PCE) as a rigorous method for uncertainty propagation and further extend its use to robust performance estimation. The aim is to assess if the software system is robust, i.e., it can withstand possible changes in parameter values, and continue to meet performance requirements. PCE is a very efficient technique, and requires significantly less computations to accurately estimate the distribution of performance indices. Through three very different case studies from different phases of software development and heterogeneous application domains, we show that PCE can accurately ( > 97%) estimate the robustness of various performance indices, and saves up to 225 h of performance evaluation time when compared to Monte Carlo Simulation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Systems and Software - Volume 138, April 2018, Pages 222-235
نویسندگان
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