Analysis and Refactoring of Software Systems Using Performance Antipattern Profiles

Refactoring is often needed to ensure that software systems meet their performance requirements in deployments with different operational profiles, or when these operational profiles are not fully known or change over time. This is a complex activity in which software engineers have to choose from n...

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Autores principales: Calinescu, Radu, Cortellessa, Vittorio, Stefanakos, Ioannis, Trubiani, Catia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418116/
http://dx.doi.org/10.1007/978-3-030-45234-6_18
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author Calinescu, Radu
Cortellessa, Vittorio
Stefanakos, Ioannis
Trubiani, Catia
author_facet Calinescu, Radu
Cortellessa, Vittorio
Stefanakos, Ioannis
Trubiani, Catia
author_sort Calinescu, Radu
collection PubMed
description Refactoring is often needed to ensure that software systems meet their performance requirements in deployments with different operational profiles, or when these operational profiles are not fully known or change over time. This is a complex activity in which software engineers have to choose from numerous combinations of refactoring actions. Our paper introduces a novel approach that uses performance antipatterns and stochastic modelling to support this activity. The new approach computes the performance antipatterns present across the operational profile space of a software system under development, enabling engineers to identify operational profiles likely to be problematic for the analysed design, and supporting the selection of refactoring actions when performance requirements are violated for an operational profile region of interest. We demonstrate the application of our approach for a software system comprising a combination of internal (i.e., in-house) components and external third-party services.
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spelling pubmed-74181162020-08-11 Analysis and Refactoring of Software Systems Using Performance Antipattern Profiles Calinescu, Radu Cortellessa, Vittorio Stefanakos, Ioannis Trubiani, Catia Fundamental Approaches to Software Engineering Article Refactoring is often needed to ensure that software systems meet their performance requirements in deployments with different operational profiles, or when these operational profiles are not fully known or change over time. This is a complex activity in which software engineers have to choose from numerous combinations of refactoring actions. Our paper introduces a novel approach that uses performance antipatterns and stochastic modelling to support this activity. The new approach computes the performance antipatterns present across the operational profile space of a software system under development, enabling engineers to identify operational profiles likely to be problematic for the analysed design, and supporting the selection of refactoring actions when performance requirements are violated for an operational profile region of interest. We demonstrate the application of our approach for a software system comprising a combination of internal (i.e., in-house) components and external third-party services. 2020-03-13 /pmc/articles/PMC7418116/ http://dx.doi.org/10.1007/978-3-030-45234-6_18 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Calinescu, Radu
Cortellessa, Vittorio
Stefanakos, Ioannis
Trubiani, Catia
Analysis and Refactoring of Software Systems Using Performance Antipattern Profiles
title Analysis and Refactoring of Software Systems Using Performance Antipattern Profiles
title_full Analysis and Refactoring of Software Systems Using Performance Antipattern Profiles
title_fullStr Analysis and Refactoring of Software Systems Using Performance Antipattern Profiles
title_full_unstemmed Analysis and Refactoring of Software Systems Using Performance Antipattern Profiles
title_short Analysis and Refactoring of Software Systems Using Performance Antipattern Profiles
title_sort analysis and refactoring of software systems using performance antipattern profiles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7418116/
http://dx.doi.org/10.1007/978-3-030-45234-6_18
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