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Model-Based Software Performance Analysis

TLDR
This book provides the cross-knowledge that allows developers to tackle software performance issues from the very early phases of software development and explains the basic concepts of performance analysis and describes the most representative methodologies to annotate and transform software models into performance models.
Abstract
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.

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Citations
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Journal ArticleDOI

An end‐user‐centric test generation methodology for performance evaluation of mobile networked applications

TL;DR: A model‐based test generation methodology to evaluate the impact of the interaction of the wireless network and application configurations on the performance of mobile networked applications and formulate metamorphic test generation as maximization of the distance between seed and follow‐up test cases.
Proceedings ArticleDOI

Applying performance analysis concepts for event-based industrial automation systems

TL;DR: This manuscript describes existing problems and proposes to tackle them with performance modeling, introduces and compares four performance modeling notations, and illustrates the approach on a use case dealing with integration of an application designed according to the IEC 61499 distributed automation standard interacting with a SCADA environment in an event-based manner.
Journal ArticleDOI

Integrating the analysis of multiple non-functional properties in model-driven engineering

TL;DR: In this article, the authors discuss the progress made so far and future challenges in integrating the analysis of multiple Non-Functional Properties (NFP) (such as performance, schedulability, reliability, availability, scalability, security, safety, and maintainability) into the MDE process.
Journal ArticleDOI

Toward an analytical method for SLA validation

TL;DR: The paper presents an efficient approach to compute bounds on the delay of composed systems based on available bounds for the load and the response times of components.
References
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Journal ArticleDOI

A performance model interchange format

TL;DR: The definition of a PMIF is presented by describing a meta-model of the information requirements and the transfer format derived from it, which describes how tool developers can implement the PMIF, how the model interchange via export and import works in practice, and how thePMIF can be extended.
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