D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 36 Citations 4,747 124 World Ranking 7297 National Ranking 348

Overview

What is he best known for?

The fields of study Lars Grunske is best known for:

  • Software
  • Reliability engineering
  • Software engineering

Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Probabilistic logic and Natural language. Lars Grunske incorporates Probabilistic logic and Artificial intelligence in his research. Many of his Computer network research pursuits overlap with Quality of service and Distributed computing. He incorporates Distributed computing and Computer network in his research. His Ecology study frequently draws connections between adjacent fields such as Decomposition and Key (lock). In his works, Lars Grunske undertakes multidisciplinary study on Decomposition and Ecology. His research on Key (lock) frequently links to adjacent areas such as Computer security. His study in Trustworthiness extends to Computer security with its themes. As part of his studies on Software engineering, Lars Grunske often connects relevant areas like Software deployment.

His most cited work include:

  • Dynamic QoS Management and Optimization in Service-Based Systems (321 citations)
  • Software Architecture Optimization Methods: A Systematic Literature Review (226 citations)
  • An approach to software reliability prediction based on time series modeling (87 citations)

What are the main themes of his work throughout his whole career to date

His Failure mode and effects analysis research focuses on Reliability engineering and how it relates to Fault tree analysis. Lars Grunske performs multidisciplinary study in the fields of Fault tree analysis and Reliability engineering via his papers. In his works, Lars Grunske conducts interdisciplinary research on Programming language and Theoretical computer science. He performs multidisciplinary study in Theoretical computer science and Programming language in his work. Lars Grunske integrates many fields in his works, including Software engineering and Operating system. He undertakes multidisciplinary studies into Operating system and Software in his work. He incorporates Software and Software system in his studies. Lars Grunske integrates Software system with Software engineering in his study. His work often combines Artificial intelligence and Probabilistic logic studies.

Lars Grunske most often published in these fields:

  • Programming language (60.87%)
  • Software engineering (47.83%)
  • Reliability engineering (39.13%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (100.00%)
  • Programming language (75.00%)
  • Natural language processing (50.00%)

In recent works Lars Grunske was focusing on the following fields of study:

His study on Paleontology is interrelated to topics such as Test (biology) and Context (archaeology). As part of his studies on Context (archaeology), Lars Grunske often connects relevant subjects like Paleontology. Lars Grunske incorporates Artificial intelligence and Data science in his research. Lars Grunske undertakes multidisciplinary studies into Data science and Artificial intelligence in his work. Programming language and Set (abstract data type) are frequently intertwined in his study. He connects Natural language processing with Information retrieval in his research. Lars Grunske brings together Information retrieval and Natural language processing to produce work in his papers. His study deals with a combination of Machine learning and Heuristic. In his work, Lars Grunske performs multidisciplinary research in Heuristic and Machine learning.

Between 2018 and 2021, his most popular works were:

  • History-based Model Repair Recommendations (10 citations)
  • Evolutionary Grammar-Based Fuzzing (9 citations)
  • Does Diversity Improve the Test Suite Generation for Mobile Applications? (7 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Dynamic QoS Management and Optimization in Service-Based Systems

R Calinescu;L Grunske;M Kwiatkowska;R Mirandola.
IEEE Transactions on Software Engineering (2011)

467 Citations

Software Architecture Optimization Methods: A Systematic Literature Review

Aldeida Aleti;Barbora Buhnova;Lars Grunske;Anne Koziolek.
IEEE Transactions on Software Engineering (2013)

359 Citations

ArcheOpterix: An extendable tool for architecture optimization of AADL models

Aldeida Aleti;Stefan Bjornander;Lars Grunske;Indika Meedeniya.
model based methodologies for pervasive and embedded software (2009)

215 Citations

Specification patterns for probabilistic quality properties

Lars Grunske.
international conference on software engineering (2008)

187 Citations

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

Tien-Duy B. Le;David Lo;Claire Le Goues;Lars Grunske.
international symposium on software testing and analysis (2016)

163 Citations

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

Steffen Becker;Lars Grunske;Raffaela Mirandola;Sven Overhage.
Lecture Notes in Computer Science (2006)

157 Citations

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

Betty H. C. Cheng;Kerstin I. Eder;Martin Gogolla;Lars Grunske.
Lecture Notes in Computer Science (2014)

157 Citations

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

Ayman Amin;Alan Colman;Lars Grunske.
international conference on web services (2012)

142 Citations

Performance prediction of component-based systems

Steffen Becker;Lars Grunske;Raffaela Mirandola;Sven Overhage.
Proceedings of the 2004 international conference on Architecting Systems with Trustworthy Components (2004)

130 Citations

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

Marco Autili;Lars Grunske;Markus Lumpe;Patrizio Pelliccione.
IEEE Transactions on Software Engineering (2015)

129 Citations

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