What is he best known for?
The fields of study he is best known for:
- Software
- Programming language
- Operating system
His primary scientific interests are in Data mining, Software, Software engineering, Software development and Source code.
His studies in Data mining integrate themes in fields like Set, Imagix 4D, Static program analysis and Artificial intelligence.
His work in Software tackles topics such as Visualization which are related to areas like Information needs and Data-flow analysis.
His biological study spans a wide range of topics, including Data flow diagram, Code refactoring, Data visualization and Code smell.
In his research, Software prototyping and Configuration management is intimately related to Software system, which falls under the overarching field of Software development.
His Source code research is multidisciplinary, incorporating perspectives in Theoretical computer science, Software metric, Tree, Java and Machine learning.
His most cited work include:
- Populating a Release History Database from version control and bug tracking systems (495 citations)
- Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction (443 citations)
- An exploratory study of the pull-based software development model (337 citations)
What are the main themes of his work throughout his whole career to date?
Software engineering, Software, Source code, Data mining and Programming language are his primary areas of study.
The various areas that Martin Pinzger examines in his Software engineering study include Data flow diagram, Maintenance engineering, World Wide Web and Reverse engineering.
The Software study combines topics in areas such as Visualization and Usability.
His Source code research is multidisciplinary, incorporating elements of Software evolution, Software system, Static program analysis, Java and Tree.
His Software system study incorporates themes from Software quality, Software development, Theoretical computer science and Identification.
Kernel is closely connected to Linux kernel in his research, which is encompassed under the umbrella topic of Data mining.
He most often published in these fields:
- Software engineering (31.01%)
- Software (29.46%)
- Source code (27.13%)
What were the highlights of his more recent work (between 2016-2021)?
- Java (20.93%)
- Software (29.46%)
- Source code (27.13%)
In recent papers he was focusing on the following fields of study:
Martin Pinzger focuses on Java, Software, Source code, Programming language and Data mining.
His study in Java is interdisciplinary in nature, drawing from both Software bug, Static analysis, Scripting language and Integer.
His Software study combines topics from a wide range of disciplines, such as Precision and recall and Software engineering.
His Software engineering study integrates concerns from other disciplines, such as Robot, Maintenance engineering and Code refactoring.
His research in Data mining intersects with topics in Feature, Code, Multivariate statistics, Linux kernel and Software quality.
Martin Pinzger studied Recommender system and Artificial intelligence that intersect with Machine learning.
Between 2016 and 2021, his most popular works were:
- Automatically repairing dependency-related build breakage (31 citations)
- Automatically classifying posts into question categories on stack overflow (17 citations)
- Noise and heterogeneity in historical build data: an empirical study of Travis CI (15 citations)
In his most recent research, the most cited papers focused on:
- Software
- Programming language
- Operating system
Martin Pinzger mainly investigates Software, Java, Source code, Precision and recall and Open source.
His Software research is multidisciplinary, relying on both Software engineering and Maintenance engineering.
His Software engineering research includes themes of Build verification test and Software build.
His research investigates the connection with Maintenance engineering and areas like Software quality which intersect with concerns in Data mining.
Source code is a subfield of Programming language that Martin Pinzger studies.
His work in the fields of Programming language, such as Software evolution, Tree and Scripting language, overlaps with other areas such as Abstract syntax.
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