Klaus Pohl

Klaus Pohl

Universität Duisburg-Essen

H-index: 56

Europe-Germany

About Klaus Pohl

Klaus Pohl, With an exceptional h-index of 56 and a recent h-index of 26 (since 2020), a distinguished researcher at Universität Duisburg-Essen, specializes in the field of Software Engineering, Requirements Engineering, Software Product Lines, Adaptive Software Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Explainable Online Reinforcement Learning for Adaptive Systems

Fuzz on the Beach: Fuzzing Solana Smart Contracts

Towards the decentralized coordination of multiple self-adaptive systems

Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring

A user study on explainable online reinforcement learning for adaptive systems

Cost-optimized, data-protection-aware offloading between an edge data center and the cloud

Explaining online reinforcement learning decisions of self-adaptive systems

UMLsec4Edge: Extending UMLsec to model data-protection-compliant edge computing systems

Klaus Pohl Information

University

Position

paluno

Citations(all)

19735

Citations(since 2020)

4006

Cited By

16985

hIndex(all)

56

hIndex(since 2020)

26

i10Index(all)

167

i10Index(since 2020)

67

Email

University Profile Page

Universität Duisburg-Essen

Google Scholar

View Google Scholar Profile

Klaus Pohl Skills & Research Interests

Software Engineering

Requirements Engineering

Software Product Lines

Adaptive Software Systems

Top articles of Klaus Pohl

Title

Journal

Author(s)

Publication Date

Explainable Online Reinforcement Learning for Adaptive Systems

Felix Feit

Andreas Metzger

Klaus Pohl

2023

Fuzz on the Beach: Fuzzing Solana Smart Contracts

Sven Smolka

Jens-Rene Giesen

Pascal Winkler

Oussama Draissi

Lucas Davi

...

2023/11/15

Towards the decentralized coordination of multiple self-adaptive systems

Paul-Andrei Dragan

Andreas Metzger

Klaus Pohl

2023/9/25

Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring

Information Systems

Andreas Metzger

Tristan Kley

Aristide Rothweiler

Klaus Pohl

2023/9/1

A user study on explainable online reinforcement learning for adaptive systems

arXiv preprint arXiv:2307.04098

Andreas Metzger

Jan Laufer

Felix Feit

Klaus Pohl

2023/7/9

Cost-optimized, data-protection-aware offloading between an edge data center and the cloud

IEEE Transactions on Services Computing

Zoltán Ádám Mann

Andreas Metzger

Johannes Prade

Robert Seidl

Klaus Pohl

2022/1/25

Explaining online reinforcement learning decisions of self-adaptive systems

Felix Feit

Andreas Metzger

Klaus Pohl

2022/9/19

UMLsec4Edge: Extending UMLsec to model data-protection-compliant edge computing systems

Sven Smolka

Jan Laufer

Zoltán Adám Mann

Klaus Pohl

2022/8/31

A Data Protection Focused Adaptation Engine for Distributed Video Analytics Pipelines

IEEE Access

Clemens Lachner

Jan Laufer

Schahram Dustdar

Klaus Pohl

2022/6/24

Realizing self-adaptive systems via online reinforcement learning and feature-model-guided exploration

Computing

Andreas Metzger

Clément Quinton

Zoltán Ádám Mann

Luciano Baresi

Klaus Pohl

2022/3/1

Feature-Modell-geführtes Online Reinforcement Learning für Selbst-adaptive Systeme

Andreas Metzger

Clément Quinton

Zoltán Mann

Luciano Baresi

Klaus Pohl

2021

Model-based engineering of collaborative embedded systems: Extensions of the spes methodology

Wolfgang Böhm

Manfred Broy

Cornel Klein

Klaus Pohl

Bernhard Rumpe

...

2021

Counterfactual explanations for predictive business process monitoring

Tsung-Hao Huang

Andreas Metzger

Klaus Pohl

2021/12/8

RADAR: Data protection in cloud-based computer systems at run time

IEEE Access

Zoltán Ádám Mann

Florian Kunz

Jan Laufer

Julian Bellendorf

Andreas Metzger

...

2021/5/6

Basiswissen requirements engineering: Aus-und Weiterbildung nach IREB-Standard zum certified professional for requirements engineering foundation level

Klaus Pohl

Chris Rupp

2021/3/29

Product Family Development (Dagstuhl Seminar 03151)

Günter Böckle

Peter Knauber

Linda Northrop

Klaus Pohl

Frank van der Linden

2021

An Online Course for Teaching Model-based Engineering.

Marian Daun

Jennifer Brings

Patricia Aluko Obe

Klaus Pohl

Steffen Moser

...

2020

Modelle zur Unterstützung in der funktionszentrierten Entwicklung eingebetteter Systeme

Marian Daun

Thorsten Weyer

Klaus Pohl

2020

Feature model-guided online reinforcement learning for self-adaptive services

Andreas Metzger

Clément Quinton

Zoltán Ádám Mann

Luciano Baresi

Klaus Pohl

2020/12/9

Analyzing goal variability in cyber-physical system networks

ACM SIGAPP Applied Computing Review

Jennifer Brings

Marian Daun

Thorsten Weyer

Klaus Pohl

2020/7/27

See List of Professors in Klaus Pohl University(Universität Duisburg-Essen)