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Computer Science

D-Index
40
Citations
5759
World Ranking
9401
National Ranking
464

Overview

Lars Grunske is affiliated with Humboldt-Universität zu Berlin in Germany and has a prolific research record, primarily in computer science with a strong emphasis on software-related fields. Their work spans multiple subfields including software, information systems, artificial intelligence, computational theory and mathematics, and computer networks and communications.

The main topics of their research focus on software testing and debugging techniques, software engineering research, software reliability and analysis, formal methods in verification, scientific computing and data management, software system performance and reliability, and safety systems engineering in autonomy.

Grunske has published extensively in various venues, with notable frequent publications in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Information and Software Technology
  • ACM Transactions on Software Engineering and Methodology
  • ACM SIGSOFT Software Engineering Notes

Recent papers authored or coauthored by Grunske cover diverse topics and appeared in respected journals and conferences. Some of these include:

  • "VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python," 2022, Information and Software Technology
  • "History-based Model Repair Recommendations," 2021, ACM Transactions on Software Engineering and Methodology
  • "BeDivFuzz," 2022, Proceedings of the 44th International Conference on Software Engineering
  • "A property specification pattern catalog for real-time system verification with UPPAAL," 2022, Information and Software Technology
  • "Inputs From Hell," 2020, IEEE Transactions on Software Engineering

Among frequent coauthors, Grunske has collaborated extensively with Thomas Vogel, Genaína Nunes Rodrigues, Timo Kehrer, Marc Carwehl, and Arut Prakash Kaleeswaran.

The scientist's contribution to software reliability, verification, and testing research is reflected in a substantive body of work comprising over 90 publications in computer science. This includes 32 publications specifically focused on software testing and debugging techniques, 28 on software engineering research, and 26 on software reliability and analysis research.

Best Publications

  • Dynamic QoS Management and Optimization in Service-Based Systems

    R Calinescu;L Grunske;M Kwiatkowska;R Mirandola

  • Software Architecture Optimization Methods: A Systematic Literature Review

    Aldeida Aleti;Barbora Buhnova;Lars Grunske;Anne Koziolek

  • ArcheOpterix: An extendable tool for architecture optimization of AADL models

    Aldeida Aleti;Stefan Bjornander;Lars Grunske;Indika Meedeniya

  • A learning-to-rank based fault localization approach using likely invariants

    Tien-Duy B. Le;David Lo;Claire Le Goues;Lars Grunske

  • Specification patterns for probabilistic quality properties

    Lars Grunske

  • Using models at runtime to address assurance for self-adaptive systems

    Betty H. C. Cheng;Kerstin I. Eder;Martin Gogolla;Lars Grunske

  • Aligning Qualitative, Real-Time, and Probabilistic Property Specification Patterns Using a Structured English Grammar

    Marco Autili;Lars Grunske;Markus Lumpe;Patrizio Pelliccione

  • Performance Prediction of Component-Based Systems A Survey from an Engineering Perspective

    Steffen Becker;Lars Grunske;Raffaela Mirandola;Sven Overhage

  • An Approach to Forecasting QoS Attributes of Web Services Based on ARIMA and GARCH Models

    Ayman Amin;Alan Colman;Lars Grunske

  • An approach to software reliability prediction based on time series modeling

    Ayman Amin;Lars Grunske;Alan Colman

  • Dimensions and metrics for evaluating recommendation systems

    Iman Avazpour;Teerat Pitakrat;Lars Grunske;John C. Grundy

  • Performance prediction of component-based systems

    Steffen Becker;Lars Grunske;Raffaela Mirandola;Sven Overhage

  • Software engineering for self-adaptive systems: research challenges in the provision of assurances

    Rogério de Lemos;David Garlan;Carlo Ghezzi;Holger Giese

  • Perpetual assurances for self-adaptive systems

    Danny Weyns;Nelly Bencomo;Radu Calinescu;Javier Camara

  • Model-Driven safety evaluation with state-event-based component failure annotations

    Lars Grunske;Bernhard Kaiser;Yiannis Papadopoulos

  • Identifying "good" architectural design alternatives with multi-objective optimization strategies

    Lars Grunske

  • Semantic program repair using a reference implementation

    Sergey Mechtaev;Manh-Dung Nguyen;Yannic Noller;Lars Grunske

  • Safety Analysis of an Airbag System Using Probabilistic FMEA and Probabilistic Counterexamples

    Husain Aljazzar;Manuel Fischer;Lars Grunske;Matthias Kuntz

  • Using graph transformation for practical model-driven software engineering

    Lars Grunske;Leif Geiger;Albert Zündorf;Niels Van Eetvelde

  • Probabilistic Model-Checking Support for FMEA

    L. Grunske;R. Colvin;K. Winter

Frequent Co-Authors

Yiannis Papadopoulos
Yiannis Papadopoulos University of Hull
Raffaela Mirandola
Raffaela Mirandola Polytechnic University of Milan
Marin Litoiu
Marin Litoiu York University
Hausi A. Müller
Hausi A. Müller University of Victoria
Jean-Marc Jézéquel
Jean-Marc Jézéquel University of Rennes
Sam Malek
Sam Malek University of California, Irvine
David Lo
David Lo Singapore Management University
Danny Weyns
Danny Weyns KU Leuven
Nelly Bencomo
Nelly Bencomo Durham University
Bernhard Rumpe
Bernhard Rumpe RWTH Aachen University

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