What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Software
Zhendong Su mostly deals with Programming language, Theoretical computer science, Source code, String and Static analysis.
Zhendong Su has included themes like Web application and Operating system in his Programming language study.
In his research, Code refactoring is intimately related to Redundant code, which falls under the overarching field of Theoretical computer science.
His Source code study combines topics from a wide range of disciplines, such as Tree, Scalability and Code.
His work carried out in the field of Static analysis brings together such families of science as Firewall, Correctness, Network security and Network packet.
His Source lines of code study, which is part of a larger body of work in Software, is frequently linked to Naturalness, bridging the gap between disciplines.
His most cited work include:
- DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones (666 citations)
- On the naturalness of software (528 citations)
- The essence of command injection attacks in web applications (482 citations)
What are the main themes of his work throughout his whole career to date?
Zhendong Su focuses on Programming language, Software, Theoretical computer science, Program analysis and Artificial intelligence.
His research related to Source code, Compiler, Java, Software bug and Debugging might be considered part of Programming language.
His Source code research integrates issues from Source lines of code and Code.
His Java research incorporates themes from SQL and Query string.
His Software study incorporates themes from Language model, Human–computer interaction and Component.
His work carried out in the field of Theoretical computer science brings together such families of science as Redundant code, Scalability, Code coverage and Static program analysis.
He most often published in these fields:
- Programming language (31.93%)
- Software (17.47%)
- Theoretical computer science (16.87%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (12.65%)
- Program analysis (14.46%)
- Software (17.47%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Program analysis, Software, Programming language and Result set.
The Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing.
His Program analysis research is multidisciplinary, incorporating elements of Information flow, Payment and Nondeterministic algorithm.
In his study, which falls under the umbrella issue of Software, Computer vision and Realization is strongly linked to Process.
His study in Scalability extends to Programming language with its themes.
The study incorporates disciplines such as Database testing and Relational database, SQL, Database in addition to Result set.
Between 2018 and 2021, his most popular works were:
- Practical GUI testing of Android applications via model abstraction and refinement (20 citations)
- Detecting nondeterministic payment bugs in Ethereum smart contracts (13 citations)
- Structure-invariant testing for machine translation (11 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Algorithm
Program analysis, Software engineering, Usability, Java and Artificial intelligence are his primary areas of study.
His research integrates issues of Artificial neural network, Global variable, Semantics and Source code in his study of Program analysis.
The concepts of his Software engineering study are interwoven with issues in Exploit, Android and Software debugging.
Zhendong Su interconnects Executable and Implementation in the investigation of issues within Java.
His research in the fields of Parsing, Sentence and Syntax overlaps with other disciplines such as Foreign language.
His Software study is related to the wider topic of Programming language.
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