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Model-Based Software Performance Analysis

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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

A model-driven approach for continuous performance engineering in microservice-based systems

TL;DR: This paper proposes a model-driven integrated approach that exploits traceability relationships between the monitored data of a microservice-based running system and its architectural model to derive recommended refactoring actions that lead to performance improvement.
Journal ArticleDOI

Investigating types and survivability of performance bugs in mobile apps

TL;DR: The largest study at date investigating performance bugs in mobile apps is presented and a taxonomy of the types of performance bugs affecting Android and iOS apps is defined, which aims to help researchers and apps developers in building performance-bugs detection tools and focusing their verification and validation activities on the most frequent types ofperformance bugs.
Journal Article

Model-Driven Online Capacity Management for Component-Based Software Systems.

TL;DR: SLAstic as discussed by the authors is a model-driven online capacity management approach for distributed component-based software systems, which is based on the Palladio Component Model (PCM) model.
Journal ArticleDOI

Performance and reliability prediction for evolving service-oriented software systems

TL;DR: A novel model-driven prediction method called Q-ImPrESS is applied on a large-scale process control system from ABB consisting of several million lines of code and the achieved performance prediction accuracy and reliability prediction sensitivity analyses are reported on.
Book

Managed Software Evolution

TL;DR: In this paper, the outcomes of the Design for Future -Managed Software Evolution (1593) priority program are presented, which was launched by the German Research Foundation (Deutsche Forschungsgemeinschaft) to develop new approaches to software engineering with a specific focus on long-lived software systems.
References
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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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