Model Based Software Performance Analysis


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Model-Based Software Performance Analysis


Model-Based Software Performance Analysis

Author: Vittorio Cortellessa

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-05-05


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Poor performance is one of the main quality-related shortcomings that cause software projects to fail. Thus, the need to address performance concerns early during the software development process is fully acknowledged, and there is a growing interest in the research and software industry communities towards techniques, methods and tools that permit to manage system performance concerns as an integral part of software engineering. Model-based software performance analysis introduces performance concerns in the scope of software modeling, thus allowing the developer to carry on performance analysis throughout the software lifecycle. With this book, Cortellessa, Di Marco and Inverardi provide the cross-knowledge that allows developers to tackle software performance issues from the very early phases of software development. They explain the basic concepts of performance analysis and describe the most representative methodologies used to annotate and transform software models into performance models. To this end, they go all the way from performance primers through software and performance modeling notations to the latest transformation-based methodologies. As a result, their book is a self-contained reference text on software performance engineering, from which different target groups will benefit: professional software engineers and graduate students in software engineering will learn both basic concepts of performance modeling and new methodologies; while performance specialists will find out how to investigate software performance model building.

Performance Engineering


Performance Engineering

Author: Reiner Dumke

language: en

Publisher: Springer Science & Business Media

Release Date: 2001-05-23


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Initially, computer systems performance analyses were carried out primarily because of limited resources. Due to ever increasing functional complexity of computational systems and user requirements, performance engineering continues to play a major role in software development. This book assesses the state of the art in performance engineering. Besides revised chapters drawn from two workshops on performance engineering held in 2000, additional chapters were solicited in order to provide complete coverage of all relevant aspects. The first part is devoted to the relation between software engineering and performance engineering; the second part focuses on the use of models, measures, and tools; finally, case studies with regard to concrete technologies are presented. Researchers, professional software engineers, and advanced students interested in performance analysis will find this book an indispensable source of information and reference.

Performance Analysis of Real-Time Embedded Software


Performance Analysis of Real-Time Embedded Software

Author: Yau-Tsun Steven Li

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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Embedded systems are characterized by the presence of processors running application-specific software. Recent years have seen a large growth of such systems, and this trend is projected to continue with the growth of systems on a chip. Many of these systems have strict performance and cost requirements. To design these systems, sophisticated timing analysis tools are needed to accurately determine the extreme case (best case and worst case) performance of the software components. Existing techniques for this analysis have one or more of the following limitations: they cannot model complicated programs they cannot model advanced micro-architectural features of the processor, such as cache memories and pipelines they cannot be easily retargeted for new hardware platforms. In Performance Analysis of Real-Time Embedded Software, a new timing analysis technique is presented to overcome the above limitations. The technique determines the bounds on the extreme case (best case and worst case) execution time of a program when running on a given hardware system. It partitions the problem into two sub-problems: program path analysis and microarchitecture modeling. Performance Analysis of Real-Time Embedded Software will be of interest to Design Automation professionals as well as designers of circuits and systems.