What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Algorithm
His scientific interests lie mostly in Theoretical computer science, Programming language, Java, Algorithm and Omega.
His work on Abstract data type as part of general Theoretical computer science study is frequently linked to Presburger arithmetic, therefore connecting diverse disciplines of science.
Java annotation and Generics in Java are the subjects of his Programming language studies.
As a part of the same scientific family, William Pugh mostly works in the field of Java, focusing on Software bug and, on occasion, Static analysis, Software engineering and Software quality.
His Algorithm study combines topics in areas such as Finger search, Data structure and Dependence analysis.
His study explores the link between Integer programming and topics such as Program transformation that cross with problems in Optimizing compiler.
His most cited work include:
- Skip lists: a probabilistic alternative to balanced trees (1022 citations)
- Finding bugs is easy (752 citations)
- The Omega test: a fast and practical integer programming algorithm for dependence analysis (716 citations)
What are the main themes of his work throughout his whole career to date?
William Pugh mostly deals with Programming language, Java, Algorithm, Theoretical computer science and Static analysis.
His work on Java concurrency, Java annotation and Real time Java as part of general Java research is often related to Memory model, thus linking different fields of science.
The various areas that William Pugh examines in his Algorithm study include Statement, Loop interchange and Dependence analysis, Parallel computing.
His Theoretical computer science study incorporates themes from Skip list, Computation, Program slicing and Cache.
His biological study spans a wide range of topics, including Software quality, Code, Static program analysis, Software and Software engineering.
His research investigates the connection between Compiler and topics such as Integer programming that intersect with issues in Program transformation.
He most often published in these fields:
- Programming language (36.89%)
- Java (25.24%)
- Algorithm (21.36%)
What were the highlights of his more recent work (between 2005-2017)?
- Static analysis (17.48%)
- Programming language (36.89%)
- Java (25.24%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Static analysis, Programming language, Java, Software quality and Static program analysis.
The concepts of his Static analysis study are interwoven with issues in Distributed computing, Computer security, Code and Software bug, Software.
His studies deal with areas such as Codebase, Software release life cycle and Set as well as Software bug.
His research on Programming language frequently links to adjacent areas such as Theoretical computer science.
William Pugh has included themes like World Wide Web and Software engineering in his Software quality study.
His Static program analysis research incorporates elements of Algorithm, Software development process and Operations research.
Between 2005 and 2017, his most popular works were:
- Using Static Analysis to Find Bugs (330 citations)
- Evaluating static analysis defect warnings on production software (173 citations)
- Experiences with marmoset: designing and using an advanced submission and testing system for programming courses (106 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Algorithm
William Pugh spends much of his time researching Software quality, Static analysis, Java, Programming language and World Wide Web.
His work carried out in the field of Software quality brings together such families of science as Software bug and Software engineering.
His Static analysis research incorporates themes from Computer security, Software, Software development process and Static program analysis.
His study in the field of Software development is also linked to topics like SQL injection.
His Software development process study combines topics in areas such as Software versioning, Codebase, Software release life cycle and Runtime library.
His Programming language course of study focuses on Theoretical computer science and Source code.
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