Models@run.time
Foundations, Applications, and Roadmaps
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Article
Open AccessDecision-making under uncertainty: be aware of your priorities
Self-adaptive systems (SASs) are increasingly leveraging autonomy in their decision-making to manage uncertainty in their operating environments. A key problem with SASs is ensuring their requirements remain s...
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Article
The uncertainty interaction problem in self-adaptive systems
The problem of mitigating uncertainty in self-adaptation has driven much of the research proposed in the area of software engineering for self-adaptive systems in the last decade. Although many solutions have ...
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Article
Open AccessEvent-driven temporal models for explanations - ETeMoX: explaining reinforcement learning
Modern software systems are increasingly expected to show higher degrees of autonomy and self-management to cope with uncertain and diverse situations. As a consequence, autonomous systems can exhibit unexpect...
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Article
Opportunities in intelligent modeling assistance
Modeling is requiring increasingly larger efforts while becoming indispensable given the complexity of the problems we are solving. Modelers face high cognitive load to understand a multitude of complex abstra...
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Article
Models@run.time: a guided tour of the state of the art and research challenges
More than a decade ago, the research topic models@run.time was coined. Since then, the research area has received increasing attention. Given the prolific results during these years, the current outcomes need ...
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Chapter and Conference Paper
Non-human Modelers: Challenges and Roadmap for Reusable Self-explanation
Increasingly, software acts as a “non-human modeler” (NHM), managing a model according to high-level goals rather than a predefined script. To foster adoption, we argue that we should treat these NHMs as membe...
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Article
An architecture based on computing with words to support runtime reconfiguration decisions of service-based systems
Service-based systems (SBSs) need to be reconfigured when there is evidence that the selected Web services configurations no further satisfy the specifications models and, thus the decision-related models will...
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Chapter and Conference Paper
Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances
The important concern for modern software systems is to become more cost-effective, while being versatile, flexible, resilient, dependable, energy-efficient, customisable, configurable and self-optimising when...
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Chapter
Self-aware Computing Systems: Related Concepts and Research Areas
Self-aware computing systems exhibit a number of characteristics (e.g., autonomy, social ability, and proactivity) which have already been studied in different research areas, such as artificial intelligence, ...
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Chapter
State of the Art in Architectures for Self-aware Computing Systems
In this chapter, we review the state of the art in self-aware computing systems with a particular focus on software architectures. Therefore, we compare existing approaches targeting computing systems with sim...
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Chapter
The Notion of Self-aware Computing
We define the notion of “self-aware computing” and the relationship of this term to related terms such as autonomic computing, self-management, and similar. The need for a new definition, driven by trends that...
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Chapter and Conference Paper
Perpetual Assurances for Self-Adaptive Systems
Providing assurances for self-adaptive systems is challenging. A primary underlying problem is uncertainty that may stem from a variety of different sources, ranging from incomplete knowledge to sensor noise ...
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Chapter
Self-modeling and Self-awareness
The purpose of this chapter is to discuss why self-aware systems must pay special attention to self-modeling capabilities, clarify what is meant by both strong and weak self-modeling, and describe some of the ...
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Book
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Self-Explanation in Adaptive Systems Based on Runtime Goal-Based Models
The behaviour of self adaptive systems can be emergent, which means that the system’s behaviour may be seen as unexpected by its customers and its developers. Therefore, a self-adaptive system needs to garner ...
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Chapter
Living with Uncertainty in the Age of Runtime Models
Uncertainty can be defined as the difference between information that is represented in an executing system and the information that is both measurable and available about the system at a certain point in its ...
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Chapter and Conference Paper
S-Theory: A Unified Theory of Multi-paradigm Software Development
Many problems facing software engineers demand ‘optimal’ performance in multiple dimensions, such as computational overhead and development overhead. For these complex problems, designing an optimal solution b...
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Chapter and Conference Paper
Supporting Decision-Making for Self-Adaptive Systems: From Goal Models to Dynamic Decision Networks
[Context/Motivation] Different modeling techniques have been used to model requirements and decision-making of self-adaptive systems (SASs). Specifically, goal models have been prolific in suppor...
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Chapter
Requirements for Self-adaptation
Self-adaptation is emerging as an increasingly important capability for many applications, particularly those deployed in dynamically changing environments, such as ecosystem monitoring and disaster management...
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Chapter
Software Engineering for Self-Adaptive Systems: A Second Research Roadmap
The goal of this roadmap paper is to summarize the state-of-the-art and identify research challenges when develo**, deploying and managing self-adaptive software systems. Instead of dealing with a wide range...
