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Model Driven Software Performance Engineering: Current Challenges and Way Ahead

Publication Type : Journal Article

Publisher : ACM SIGMETRICS Performance Evaluation

Source : SIGMETRICS Performance Evaluation Review, ACM, Volume 43, Number 4, New York, NY, USA, p.53–62 (2016)

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Keywords : Industry Adoption, Model Driven Software Performance Engineering, Performance Modeling, Shift Left Development

Campus : Amritapuri

School : Department of Computer Science and Engineering, School of Engineering

Center : Amrita Innovation & Research

Department : Computer Science

Verified : Yes

Year : 2016

Abstract : Performance model solvers and simulation engines have been around for more than two decades. Yet, performance modeling has not received wide acceptance in the software industry, unlike pervasion of modeling and simulation tools in other industries. This paper explores underlying causes and looks at challenges that need to be overcome to increase utility of performance modeling, in order to make critical decisions on software based products and services. Multiple real-world case studies and examples are included to highlight our viewpoints on performance engineering. Finally, we conclude with some possible directions the performance modeling community could take, for better predictive capabilities required for industrial use.

Cite this Research Publication : M. Nambiar, Kattepur, A., Bhaskaran, G., Singhal, R., and Subhasri Duttagupta, “Model Driven Software Performance Engineering: Current Challenges and Way Ahead”, SIGMETRICS Performance Evaluation Review, vol. 43, pp. 53–62, 2016.

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