What is she best known for?
The fields of study she is best known for:
- Operating system
- Programming language
- Software
Her primary scientific interests are in Operating system, Programming language, Compiler, Program transformation and Code.
Her studies deal with areas such as Static analysis, Range and Protocol as well as Operating system.
The study incorporates disciplines such as Variety and Control in addition to Programming language.
Julia Lawall has researched Compiler in several fields, including Algorithm, Continuation and Partial evaluation.
Her Program transformation study which covers Software evolution that intersects with Process, Data structure and Domain-specific language.
Her Code research incorporates elements of Software maintenance, Commit, Artificial intelligence, Source code and Software quality.
Her most cited work include:
- Entropy: a consolidation manager for clusters (444 citations)
- Documenting and automating collateral evolutions in linux device drivers (170 citations)
- Think: A Software Framework for Component-based Operating System Kernels (164 citations)
What are the main themes of her work throughout her whole career to date?
Her primary areas of study are Operating system, Programming language, Linux kernel, Code and Software engineering.
As part of her studies on Operating system, Julia Lawall frequently links adjacent subjects like Static analysis.
Her biological study spans a wide range of topics, including Software evolution, Kernel and Source code.
Her Code study integrates concerns from other disciplines, such as Reliability, Software, Artificial intelligence, Machine learning and Software quality.
Within one scientific family, she focuses on topics pertaining to Software architecture description under Software engineering, and may sometimes address concerns connected to Solution architecture.
Her Compiler research is multidisciplinary, relying on both Java and Distributed computing.
She most often published in these fields:
- Operating system (28.32%)
- Programming language (24.86%)
- Linux kernel (19.65%)
What were the highlights of her more recent work (between 2017-2021)?
- Linux kernel (19.65%)
- Operating system (28.32%)
- Code (16.18%)
In recent papers she was focusing on the following fields of study:
Julia Lawall mainly focuses on Linux kernel, Operating system, Code, Android and Deprecated.
Her Linux kernel research integrates issues from Multi-core processor, Data mining, Kernel and Source code.
Her Operating system research is multidisciplinary, incorporating perspectives in Variable and Static analysis.
Her study in Code is interdisciplinary in nature, drawing from both Machine learning, Software, Fuzz testing and Embedded system.
Software is the subject of her research, which falls under Programming language.
Julia Lawall has included themes like Program transformation, Software engineering, Deprecation and Readability in her Android study.
Between 2017 and 2021, her most popular works were:
- Coccinelle: 10 Years of Automated Evolution in the Linux Kernel (16 citations)
- CC2Vec: distributed representations of code changes (11 citations)
- PatchNet: Hierarchical deep learning-based stable patch identification for the Linux Kernel (7 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
Her primary areas of investigation include Software, Code, Operating system, Structure and Linux kernel.
Her Software study is related to the wider topic of Programming language.
Her work in Code addresses subjects such as Machine learning, which are connected to disciplines such as Source code.
Operating system connects with themes related to Static analysis in her study.
Her Structure research spans across into fields like Task, Representation, Automation, Process and Matching.
Her Linux kernel research includes themes of Stability, Deep learning, Syntax and Commit.
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