What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Software
His scientific interests lie mostly in Programming language, Software engineering, Software, Software development and Software construction.
His work in Software engineering addresses issues such as Software testing, which are connected to fields such as Bytecode.
His study in Object-oriented programming extends to Software development with its themes.
Particularly relevant to Software reliability testing is his body of work in Software construction.
His Software reliability testing research incorporates themes from Test Management Approach, System integration testing, Integration testing and Source code.
His Set research focuses on Test set and how it connects with Mutation and Test case.
His most cited work include:
- Introduction to Software Testing (1065 citations)
- MuJava: an automated class mutation system (535 citations)
- Introduction to Software Testing: List of Figures (481 citations)
What are the main themes of his work throughout his whole career to date?
Jeff Offutt focuses on Software engineering, Software, Programming language, Reliability engineering and Test case.
His Software engineering research is multidisciplinary, relying on both Personal software process, Software development, Software construction, Software testing and Web application.
His Software construction research integrates issues from Component-based software engineering and Systems engineering.
His Software study integrates concerns from other disciplines, such as Class, Algorithm and Source code.
Jeff Offutt combines subjects such as Java, Unit testing and Mutation with his study of Reliability engineering.
His Test case study is concerned with the field of Test as a whole.
He most often published in these fields:
- Software engineering (21.72%)
- Software (20.81%)
- Programming language (15.84%)
What were the highlights of his more recent work (between 2015-2021)?
- Software (20.81%)
- Artificial intelligence (4.98%)
- Machine learning (4.07%)
In recent papers he was focusing on the following fields of study:
Jeff Offutt spends much of his time researching Software, Artificial intelligence, Machine learning, Algorithm and Mutation.
His Software study combines topics in areas such as Oracle, Fault detection and isolation, Java, XML and Empirical research.
His studies in Artificial intelligence integrate themes in fields like Test, Web application, Web development and Server.
His research in Algorithm intersects with topics in Redundancy, Model-based testing, Set and Test set.
In his study, Speedup, Test case, Measure and Higher order mutation is inextricably linked to Evolutionary algorithm, which falls within the broad field of Mutation.
As part of one scientific family, he deals mainly with the area of Unified Modeling Language, narrowing it down to issues related to the Software engineering, and often Source lines of code.
Between 2015 and 2021, his most popular works were:
- Introduction to Software Testing (1065 citations)
- Mutation operators for testing Android apps (49 citations)
- Analyzing the validity of selective mutation with dominator mutants (44 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Software
His primary areas of investigation include Mutation, Software, Machine learning, Artificial intelligence and Algorithm.
The Software study combines topics in areas such as Android, Java, XML, World Wide Web and Empirical research.
The various areas that Jeff Offutt examines in his Algorithm study include Redundancy, Theoretical computer science, Aspect-oriented programming and Robustness.
His study looks at the relationship between Mutation operator and fields such as Server, as well as how they intersect with chemical problems.
His studies deal with areas such as Test case, Speedup and Measure as well as Evolutionary algorithm.
Many of his studies on Test apply to Programming language as well.
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