Measurement and Prediction of Software Performance by Models

Article ID

CSTSDE6I2X9

Measurement and Prediction of Software Performance by Models

G.Kasi Reddy
G.Kasi Reddy MGIT
Dr. D Sravan Kumar
Dr. D Sravan Kumar
DOI

Abstract

Software Performance Engineering (SPE) provides a systematic, quantitative approach to constructing software systems that meet performance objectives. It prescribes ways to build performance into new systems rather than try to fix them later. Performance is a pervasive quality of software systems; everything affects it, from the software itself to all underlying layers, such as operating system, middleware, hardware, communication networks, etc. Software Perfor – mance Engineering encompasses efforts to describe and improve performance, with two distinct approaches: an earlycycle predictive model-based approach, and a late-cycle measurement-based approach. Current progress and future trends within these two approaches are described, with a tendency (and a need) for them to converge, in order to cover the entire development cycle.

Measurement and Prediction of Software Performance by Models

Software Performance Engineering (SPE) provides a systematic, quantitative approach to constructing software systems that meet performance objectives. It prescribes ways to build performance into new systems rather than try to fix them later. Performance is a pervasive quality of software systems; everything affects it, from the software itself to all underlying layers, such as operating system, middleware, hardware, communication networks, etc. Software Perfor – mance Engineering encompasses efforts to describe and improve performance, with two distinct approaches: an earlycycle predictive model-based approach, and a late-cycle measurement-based approach. Current progress and future trends within these two approaches are described, with a tendency (and a need) for them to converge, in order to cover the entire development cycle.

G.Kasi Reddy
G.Kasi Reddy MGIT
Dr. D Sravan Kumar
Dr. D Sravan Kumar

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G.Kasi Reddy. 2014. “. Global Journal of Computer Science and Technology – C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C6): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 14 Issue C6
Pg. 17- 23
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Measurement and Prediction of Software Performance by Models

G.Kasi Reddy
G.Kasi Reddy MGIT
Dr. D Sravan Kumar
Dr. D Sravan Kumar

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