Open AccessBook
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.read more
Citations
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SimuLizar: Design-Time modeling and Performance Analysis of Self-Adaptive Systems
TL;DR: SimuLizar is presented, an initial model-driven approach to model self-adaptive systems and analyze the performance of their transient phases and shows that the prediction accuracy is sufficient to identify unsatisfactory self- Adaptation logic.
Proceedings ArticleDOI
Model-driven performance engineering of self-adaptive systems: a survey
TL;DR: Based on a systematic literature review, a classification of model-driven performance analysis approaches for self-adaptive systems is presented, open issues are identified, and further research is outlined.
Proceedings ArticleDOI
Model-based performance analysis of software architectures under uncertainty
TL;DR: Probabilistic formulation of parameter uncertainties are used and a Monte Carlo simulation-based approach is presented to systematically assess the robustness of an architectural model despite its uncertainty to explicitly consider uncertainty in the performance modelling and analysis process.
Journal ArticleDOI
Performance-driven software model refactoring
TL;DR: It is demonstrated that automation in performance-driven software model refactoring can be beneficial, and that performance antipatterns can be powerful instruments in the hands of software engineers for detecting (and solving) performance problems usually hidden to traditional bottleneck analysis.
Proceedings ArticleDOI
Synthesizing self-adaptive connectors meeting functional and performance concerns
TL;DR: A solution to the automated synthesis of connectors that takes into account performance concerns during the synthesis process and whose synthesized connectors are adaptive with respect to runtime performance requirements changes is described.
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.