What is he best known for?
The fields of study he is best known for:
- Programming language
- Software
- Operating system
The scientist’s investigation covers issues in Programming language, Software, Software product line, Software development and Software engineering.
His research integrates issues of Java, Knowledge management, Variable and Code in his study of Software.
His Software product line research integrates issues from Feature model, Feature, Theoretical computer science and Product.
His biological study spans a wide range of topics, including Feature extraction and Data mining.
The various areas that Christian Kästner examines in his Software development study include Software system and Engineering drawing.
His Software engineering research is multidisciplinary, incorporating perspectives in Feature and Legacy system.
His most cited work include:
- Feature-Oriented Software Product Lines (395 citations)
- Granularity in software product lines (394 citations)
- An Overview of Feature-Oriented Software Development. (327 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Software, Programming language, Software engineering, Software product line and Software system.
His Software research is multidisciplinary, incorporating elements of Feature, Data mining, Data science and Product.
His Programming language study which covers Code that intersects with Linux kernel and Theoretical computer science.
His Software engineering research incorporates themes from Program comprehension, Software maintenance, Software development and Fork.
His study in Software product line is interdisciplinary in nature, drawing from both Feature model, Correctness, Feature selection and Domain.
Christian Kästner interconnects Transfer of learning and Distributed computing in the investigation of issues within Software system.
He most often published in these fields:
- Software (35.84%)
- Programming language (29.20%)
- Software engineering (24.34%)
What were the highlights of his more recent work (between 2017-2021)?
- Software (35.84%)
- Code (12.83%)
- Software engineering (24.34%)
In recent papers he was focusing on the following fields of study:
Christian Kästner focuses on Software, Code, Software engineering, Software system and Data science.
In general Software study, his work on Code coverage often relates to the realm of Empirical research, thereby connecting several areas of interest.
His work deals with themes such as Debugging, Preprocessor, Configurable systems and White box, which intersect with Code.
His Software engineering research includes themes of Scalability, Requirements engineering, Fork and Software portability.
In his study, State, Embedded system and Android is strongly linked to Distributed computing, which falls under the umbrella field of Software system.
To a larger extent, Christian Kästner studies Programming language with the aim of understanding Open source software.
Between 2017 and 2021, his most popular works were:
- Adding sparkle to social coding: an empirical study of repository badges in the npm ecosystem (58 citations)
- Learning to sample: exploiting similarities across environments to learn performance models for configurable systems (26 citations)
- Identifying features in forks (22 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Operating system
Software engineering, Software, Empirical research, Java and Fork are his primary areas of study.
As a part of the same scientific study, he usually deals with the Software engineering, concentrating on Unspecified behavior and frequently concerns with Code.
His research in Code intersects with topics in Exploit, Heuristics, Static analysis and Linux kernel.
Christian Kästner brings together Software and Load time to produce work in his papers.
He combines subjects such as Speedup, Parallel computing, Information flow, Transformation and Implementation with his study of Java.
His research integrates issues of Software bug, Social coding and Process management in his study of Fork.
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