What is he best known for?
The fields of study he is best known for:
- Operating system
- Software
- Programming language
His primary scientific interests are in Distributed computing, Software, Debugging, Software bug and Data mining.
His work focuses on many connections between Distributed computing and other disciplines, such as Reachability, that overlap with his field of interest in Software architecture, State and Static analysis.
His work deals with themes such as Machine learning, Selection and Crash, which intersect with Software.
His Debugging study combines topics in areas such as Correctness, Bebugging and Fault detection and isolation.
His Software bug study combines topics from a wide range of disciplines, such as Software maintenance and World Wide Web.
Shing-Chi Cheung has researched Data mining in several fields, including Ubiquitous computing, Middleware and Context model.
His most cited work include:
- ReLink: recovering links between bugs and changes (230 citations)
- Characterizing and detecting performance bugs for smartphone applications (183 citations)
- Workflow View Driven Cross-Organizational Interoperability in a Web Service Environment (123 citations)
What are the main themes of his work throughout his whole career to date?
Shing-Chi Cheung spends much of his time researching Software engineering, Distributed computing, Software, World Wide Web and Web service.
His study in Software engineering is interdisciplinary in nature, drawing from both Java and Software design pattern.
His Distributed computing research includes elements of Ubiquitous computing, Wireless sensor network, Correctness, Reachability and Software architecture.
The various areas that Shing-Chi Cheung examines in his Ubiquitous computing study include Middleware and Data mining.
His study looks at the relationship between Software and topics such as Debugging, which overlap with Crash.
His Web service research includes themes of Service, Workflow technology, Workflow and The Internet.
He most often published in these fields:
- Software engineering (17.47%)
- Distributed computing (17.47%)
- Software (12.64%)
What were the highlights of his more recent work (between 2018-2021)?
- Software engineering (17.47%)
- Artificial intelligence (6.69%)
- Software (12.64%)
In recent papers he was focusing on the following fields of study:
Shing-Chi Cheung focuses on Software engineering, Artificial intelligence, Software, Empirical research and Machine learning.
His Software engineering research is multidisciplinary, incorporating elements of Software development, Class, Code, Java and Dependency.
His Artificial intelligence research is multidisciplinary, relying on both Regular expression and Natural language processing.
His studies in Software integrate themes in fields like Set, Data mining and Benchmark.
He conducts interdisciplinary study in the fields of Data mining and Computational semantics through his research.
His Software bug research includes elements of Software maintenance, Sequence learning, Software evolution, Software metric and Sequence labeling.
Between 2018 and 2021, his most popular works were:
- Metamorphic Testing: A New Approach for Generating Next Test Cases. (105 citations)
- Understanding and Detecting Fragmentation-Induced Compatibility Issues for Android Apps (15 citations)
- Exposing library API misuses via mutation analysis (10 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
Shing-Chi Cheung mainly investigates Software, Android, Compatibility, Software engineering and Debugging.
His Software research is multidisciplinary, incorporating perspectives in Set, Machine learning, Data mining and Artificial intelligence.
The Artificial intelligence study combines topics in areas such as Software bug, Software maintenance, Sequence labeling and Software evolution.
His work deals with themes such as Human–computer interaction, Static analysis and Data science, which intersect with Android.
He interconnects Class, Dependency, Software debugging and Exploit in the investigation of issues within Software engineering.
Shing-Chi Cheung integrates Debugging with Empirical research in his research.
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