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∙ 09/11/2023

Online ML Self-adaptation in Face of Traps

Online machine learning (ML) is often used in self-adaptive systems to s...

0 Michal Töpfer, et al. ∙

∙ 08/09/2023

A/B Testing: A Systematic Literature Review

In A/B testing two variants of a piece of software are compared in the f...

0 Federico Quin, et al. ∙

∙ 06/02/2023

Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine Learning

A/B testing is a common approach used in industry to facilitate innovati...

0 Federico Quin, et al. ∙

∙ 06/02/2023

Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning

Modern software systems often have to cope with uncertain operation cond...

0 Federico Quin, et al. ∙

∙ 03/27/2023

From Self-Adaptation to Self-Evolution Leveraging the Operational Design Domain

Engineering long-running computing systems that achieve their goals unde...

0 Danny Weyns, et al. ∙

∙ 03/27/2023

On the Need for Artifacts to Support Research on Self-Adaptation Mature for Industrial Adoption

Despite the vast body of knowledge developed by the self-adaptive system...

0 Danny Weyns, et al. ∙

∙ 11/30/2022

Specification Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems

Over the past two decades, researchers and engineers have extensively st...

0 Danny Weyns, et al. ∙

∙ 11/06/2022

Self-Adaptation in Industry: A Survey

Computing systems form the backbone of many areas in our society, from m...

0 Danny Weyns, et al. ∙

∙ 11/04/2022

Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation

Recently, machine learning (ML) has become a popular approach to support...

0 Omid Gheibi, et al. ∙

∙ 06/24/2022

Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation

Artifacts support evaluating new research results and help comparing the...

0 Danny Weyns, et al. ∙

∙ 04/14/2022

Preliminary Results of a Survey on the Use of Self-Adaptation in Industry

Self-adaptation equips a software system with a feedback loop that autom...

0 Danny Weyns, et al. ∙

∙ 04/13/2022

Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-Adaptive Systems

Many software systems today face uncertain operating conditions, such as...

0 Danny Weyns, et al. ∙

∙ 04/04/2022

Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine Learning

In the past years, machine learning (ML) has become a popular approach t...

0 Omid Gheibi, et al. ∙

∙ 04/04/2022

SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B Testing

Micro-services are a common architectural approach to software developme...

0 Federico Quin, et al. ∙

∙ 12/12/2021

Report on A Formally-Founded Model-Based Approach to Engineer Self-Adaptive Systems

Self-adaptive systems manage themselves to deal with uncertainties that ...

0 Danny Weyns, et al. ∙

∙ 08/19/2021

Lifelong Computing

Computing systems form the backbone of many aspects of our life, hence t...

0 Danny Weyns, et al. ∙

∙ 08/18/2021

Towards Mapping Control Theory and Software Engineering Properties using Specification Patterns

A traditional approach to realize self-adaptation in software engineerin...

0 Ricardo Caldas, et al. ∙

∙ 03/21/2021

How do we Evaluate Self-adaptive Software Systems?

With the increase of research in self-adaptive systems, there is a need ...

0 Ilias Gerostathopoulos, et al. ∙

∙ 03/19/2021

Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning

Two established approaches to engineer adaptive systems are architecture...

0 Danny Weyns, et al. ∙

∙ 03/18/2021

On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems

Recently, we have been witnessing an increasing use of machine learning ...

0 Omid Gheibi, et al. ∙

∙ 03/16/2021

Decentralized Self-Adaptive Systems: A Mapping Study

With the increasing ubiquity and scale of self-adaptive systems, there i...

0 Federico Quin, et al. ∙

∙ 03/06/2021

Applying Machine Learning in Self-Adaptive Systems: A Systematic Literature Review

Recently, we witness a rapid increase in the use of machine learning in ...

26 Omid Gheibi, et al. ∙

∙ 03/03/2021

Uncertainty in Self-Adaptive Systems: A Research Community Perspective

One of the primary drivers for self-adaptation is ensuring that systems ...

0 Sara M. Hezavehi, et al. ∙

∙ 04/24/2020

Towards Bridging the Gap between Control and Self-Adaptive System Properties

Two of the main paradigms used to build adaptive software employ differe...

0 Javier Cámara, et al. ∙

∙ 09/08/2019

An Architectural Style for Self-Adaptive Multi-Agent Systems

Modern distributed software systems often operate in dynamic environment...

0 Danny Weyns, et al. ∙

∙ 08/29/2019

ActivFORMS: A Model-Based Approach to Engineer Self-Adaptive Systems

Handling change is an increasingly important challenge for software engi...

0 Danny Weyns, et al. ∙

∙ 03/12/2019

Perpetual Assurances for Self-Adaptive Systems

Providing assurances for self-adaptive systems is challenging. A primary...

0 Danny Weyns, et al. ∙

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