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 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.
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.
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Dynamic QoS Management and Optimization in Service-Based Systems
R Calinescu;L Grunske;M Kwiatkowska;R Mirandola.
IEEE Transactions on Software Engineering (2011)
Software Architecture Optimization Methods: A Systematic Literature Review
Aldeida Aleti;Barbora Buhnova;Lars Grunske;Anne Koziolek.
IEEE Transactions on Software Engineering (2013)
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)
Specification patterns for probabilistic quality properties
Lars Grunske.
international conference on software engineering (2008)
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)
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)
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)
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)
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)
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)
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