activity
20112026
most citedAssuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

87 citations · 294 across the 41 of their papers we have counts for

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Showing cs.SEShow all

17 papers · 1 filter

cs.SE2025

Tool for Supporting Debugging and Understanding of Normative Requirements Using LLMs

Alex Kleijwegt, Sinem Getir Yaman, Radu Calinescu

Normative requirements specify social, legal, ethical, empathetic, and cultural (SLEEC) norms that must be observed by a system. To support the identification of SLEEC requirements…

cs.SE2024★ 3 cited

Normative Requirements Operationalization with Large Language Models

Nick Feng, Lina Marsso, S. Getir Yaman +9

Normative non-functional requirements specify constraints that a system must observe in order to avoid violations of social, legal, ethical, empathetic, and cultural norms. As thes…

cs.SE2024

Formal Synthesis of Uncertainty Reduction Controllers

Marc Carwehl, Calum Imrie, Thomas Vogel +3

In its quest for approaches to taming uncertainty in self-adaptive systems (SAS), the research community has largely focused on solutions that adapt the SAS architecture or behavio…

cs.SE2024★ 13 cited

Analyzing and Debugging Normative Requirements via Satisfiability Checking

Nick Feng, Lina Marsso, Sinem Getir Yaman +11

As software systems increasingly interact with humans in application domains such as transportation and healthcare, they raise concerns related to the social, legal, ethical, empat…

cs.SE2023

Specification, Validation and Verification of Social, Legal, Ethical, Empathetic and Cultural Requirements for Autonomous Agents

Sinem Getir Yaman, Ana Cavalcanti, Radu Calinescu +3

Autonomous agents are increasingly being proposed for use in healthcare, assistive care, education, and other applications governed by complex human-centric norms. To ensure compli…

cs.SE2022

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

Danny Weyns, Paris Avegriou, Radu Calinescu +3

Over the past two decades, researchers and engineers have extensively studied the problem of how to enable a software system to deal with uncertain operating conditions. One promin…

cs.SE2022

PRESTO: Predicting System-level Disruptions through Parametric Model Checking

Xinwei Fang, Radu Calinescu, Colin Paterson +1

Self-adaptive systems are expected to mitigate disruptions by continually adjusting their configuration and behaviour. This mitigation is often reactive. Typically, environmental o…

cs.SE2021

Quantitative Verification with Adaptive Uncertainty Reduction

Naif Alasmari, Radu Calinescu, Colin Paterson +1

Stochastic models are widely used to verify whether systems satisfy their reliability, performance and other nonfunctional requirements. However, the validity of the verification d…

cs.SE2021★ 4 cited

Uncertainty in Self-Adaptive Systems: A Research Community Perspective

Sara M. Hezavehi, Danny Weyns, Paris Avgeriou +3

One of the primary drivers for self-adaptation is ensuring that systems achieve their goals regardless of the uncertainties they face during operation. Nevertheless, the concept of…

cs.SE2021★ 2 cited

Fast Parametric Model Checking through Model Fragmentation

Xinwei Fang, Radu Calinescu, Simos Gerasimou +1

Parametric model checking (PMC) computes algebraic formulae that express key non-functional properties of a system (reliability, performance, etc.) as rational functions of the sys…

cs.SE2020★ 9 cited

Towards Deductive Verification of Control Algorithms for Autonomous Marine Vehicles

Simon Foster, Mario Gleirscher, Radu Calinescu

The use of autonomous vehicles in real-world applications is often precluded by the difficulty of providing safety guarantees for their complex controllers. The simulation-based te…

cs.SE2019★ 7 cited

Risk Structures: Towards Engineering Risk-aware Autonomous Systems

Mario Gleirscher

Inspired by widely-used techniques of causal modelling in risk, failure, and accident analysis, this work discusses a compositional framework for risk modelling. Risk models captur…

cs.SE2019

Perpetual Assurances for Self-Adaptive Systems

Danny Weyns, Nelly Bencomo, Radu Calinescu +10

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 incomplet…

cs.SE2018

Efficient Parametric Model Checking Using Domain Knowledge

Radu Calinescu, Colin Paterson, Kenneth Johnson

We introduce an efficient parametric model checking (ePMC) method for the analysis of reliability, performance and other quality-of-service (QoS) properties of software systems. eP…

cs.SE2018

Observation-Enhanced QoS Analysis of Component-Based Systems

Colin Paterson, Radu Calinescu

We present a new method for the accurate analysis of the quality-of-service (QoS) properties of component-based systems. Our method takes as input a QoS property of interest and a…

cs.SE2017★ 2 cited

Engineering Trustworthy Self-Adaptive Software with Dynamic Assurance Cases

Radu Calinescu, Danny Weyns, Simos Gerasimou +3

Building on concepts drawn from control theory, self-adaptive software handles environmental and internal uncertainties by dynamically adjusting its architecture and parameters in…

cs.SE2011

Large-scale Complex IT Systems

Ian Sommerville, Dave Cliff, Radu Calinescu +5

This paper explores the issues around the construction of large-scale complex systems which are built as 'systems of systems' and suggests that there are fundamental reasons, deriv…