What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Object-oriented programming
Frank Tip mainly investigates Programming language, Set, Theoretical computer science, Java and Debugging.
His work on Code refactoring, Consistency and Symbolic execution as part of general Programming language research is often related to Eclipse, thus linking different fields of science.
His Set research is multidisciplinary, incorporating elements of Object-oriented programming, Program analysis and Serialization.
While the research belongs to areas of Theoretical computer science, he spends his time largely on the problem of Class hierarchy, intersecting his research to questions surrounding Concept class.
He interconnects Control flow, Dataflow, Concurrency and Slicing in the investigation of issues within Debugging.
His biological study spans a wide range of topics, including Point of interest and Program Dependence Graph.
His most cited work include:
- A survey of program slicing techniques. (1306 citations)
- Chianti: a tool for change impact analysis of java programs (369 citations)
- Scalable propagation-based call graph construction algorithms (225 citations)
What are the main themes of his work throughout his whole career to date?
Frank Tip spends much of his time researching Programming language, Java, Set, Theoretical computer science and Code refactoring.
His is involved in several facets of Programming language study, as is seen by his studies on Debugging, Class, JavaScript, Semantics and Class hierarchy.
His Program slicing study in the realm of Debugging connects with subjects such as Basis.
The study incorporates disciplines such as Object-oriented programming, Container, Static analysis and Programmer in addition to Java.
His Set study integrates concerns from other disciplines, such as Computer program, Program analysis and Consistency.
His studies in Concurrency integrate themes in fields like Control flow and Symbolic execution.
He most often published in these fields:
- Programming language (51.28%)
- Java (24.79%)
- Set (20.51%)
What were the highlights of his more recent work (between 2009-2020)?
- Programming language (51.28%)
- JavaScript (8.55%)
- Code refactoring (16.24%)
In recent papers he was focusing on the following fields of study:
Frank Tip mostly deals with Programming language, JavaScript, Code refactoring, Computer program and Web application.
His study in Correctness, Java, Programmer, Compiler and Implementation falls within the category of Programming language.
Frank Tip regularly ties together related areas like Synchronization in his Java studies.
His research integrates issues of Random testing, Scalability, Theoretical computer science, Unobtrusive JavaScript and Property in his study of JavaScript.
His Computer program research is multidisciplinary, relying on both Real-time computing, Set and Code.
His study in Set is interdisciplinary in nature, drawing from both Client–server model and Fault detection and isolation.
Between 2009 and 2020, his most popular works were:
- A framework for automated testing of javascript web applications (169 citations)
- Finding Bugs in Web Applications Using Dynamic Test Generation and Explicit-State Model Checking (137 citations)
- Directed test generation for effective fault localization (126 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Object-oriented programming
His primary scientific interests are in Programming language, Code, Java, JavaScript and Code refactoring.
His Programming language study frequently draws connections between related disciplines such as Web application.
His research on Code also deals with topics like
- Computer program which is related to area like Set,
- Synchronization together with Consistency, Software maintenance and Lock.
His Java study frequently draws connections to other fields, such as Unobtrusive JavaScript.
In JavaScript, he works on issues like Random testing, which are connected to Keyword-driven testing, Test generator, Scripting language, Ajax and Debugging.
His Code refactoring research is multidisciplinary, incorporating elements of Program transformation, Type inference, Correctness and Return type.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
