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• W2911870110 abstract "Abstract Software performance engineering (SPE) is a method for constructing software systems to meet performance objectives. The process begins early in the software life cycle and uses quantitative methods to identify satisfactory combinations of requirements and designs, and to eliminate those that are likely to have unacceptable performance, before developers begin implementation. SPE continues through the detailed design, coding, and testing stages to predict and manage the performance of the evolving software, and to monitor and report actual performance against specifications and predictions. SPE methods cover performance data collection, quantitative analysis techniques, prediction strategies, management of uncertainties, data presentation and tracking, model verification and validation, critical success factors, and performance design principles. In this article, performance refers to the response time or throughput as seen by the users. For real‐time, or reactive , systems, this is the time required to respond to events. Reactive systems must meet performance objectives to be correct. Other software has less stringent requirements, but responsiveness limits the amount of work processed, so it determines a system's effectiveness and the productivity of its users. This article first covers the evolution of SPE then it gives an overview of the SPE process and the SPE methods. It presents the general principles for performance‐oriented design, then it introduces the quantitative techniques for predicting and analyzing performance. The SPE techniques used throughout the software life cycle follow. Finally, the conclusion reviews the status and future of SPE." @default.
• W2911870110 created "2019-02-21" @default.
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• W2911870110 date "2002-01-15" @default.
• W2911870110 modified "2023-10-09" @default.
• W2911870110 title "Software Performance Engineering" @default.
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• W2911870110 doi "https://doi.org/10.1002/0471028959.sof237" @default.
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