Open AccessBook
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.read more
Citations
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fUML-Driven Performance Analysis through the MOSES Model Library.
TL;DR: Implemented as an executable model library, MOSES provides data structures, as Classes, and algorithms, as Activities, which can be imported to instrument f UML models and then to carry out the performance analysis of the modeled system through fUML model simulation.
Book ChapterDOI
A Methodology for Model-Based Reliability Estimation
TL;DR: In this chapter, a new Model-Based Reliability Estimation (MBRE) methodology is developed, which provides a systematic way to estimate system reliability, emphasizing the reliability model for producing reliability parameters which will be used by the reliability estimation model.
UML Model Transformation for a Product Line Design
R. Aroulcanessane,S. Srinivasan +1 more
TL;DR: A UML based compiler and a hardware-software co-simulation tool is used in this procedural approach, for reconfiguring the architectures and aids validation, verification, mapping and synthesis of the application with limited amount of effort.
Proceedings ArticleDOI
Learning Queuing Networks by Recurrent Neural Networks
TL;DR: In this article, a machine learning approach is proposed to derive performance models from data, which can be used for prediction purposes such as what-if analyses and capacity planning, using synthetic models as well as a real case study of a load balancing system.
Proceedings ArticleDOI
Learning to Learn to Predict Performance Regressions in Production at Meta
Moritz Beller,Hongyu Li,Vivek Nair,Vijayaraghavan Murali,Imad Mamdooh Ahmad,Jürgen Cito,Drew Carlson,Gareth Ari Aye,Wes Dyer +8 more
TL;DR: A comparative study with four ML models of increasing complexity, from (1) code-opaque, over (2) Bag of Words, (3) off-the-shelve Transformer-based, to (4) a bespoke Trans transformer-based model, coined SuperPerforator, which shows the inherent difficulty of the performance prediction problem.
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.