What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Software
The scientist’s investigation covers issues in Distributed computing, Data mining, Ubiquitous computing, Software and Middleware.
His Distributed computing research is multidisciplinary, incorporating perspectives in Multithreading and Scheduling.
His Data mining research incorporates themes from Regression testing and Fault detection and isolation.
His research in Ubiquitous computing intersects with topics in Utility computing, End-user computing, Middleware, Task and Data science.
The Software study combines topics in areas such as Data flow diagram, Software engineering and Test case.
His Test case research integrates issues from Embedded system and White-box testing.
His most cited work include:
- A Tale of Clouds: Paradigm Comparisons and Some Thoughts on Research Issues (219 citations)
- Adaptive Random Test Case Prioritization (190 citations)
- ContractFuzzer: fuzzing smart contracts for vulnerability detection (151 citations)
What are the main themes of his work throughout his whole career to date?
Test case, Data mining, Software engineering, Debugging and Software are his primary areas of study.
His studies deal with areas such as Test Management Approach, Regression testing and Artificial intelligence as well as Test case.
W. K. Chan has included themes like Web service, Workflow and Fault detection and isolation in his Regression testing study.
His Data mining research includes elements of Business Process Execution Language, Ubiquitous computing, XML validation, Set and Consistency.
His Debugging research also works with subjects such as
- Benchmark together with Instruction set,
- Correctness together with Distributed computing,
- Theoretical computer science and related Enhanced Data Rates for GSM Evolution and Software fault tolerance.
His biological study spans a wide range of topics, including Reliability engineering and Code coverage.
He most often published in these fields:
- Test case (22.62%)
- Data mining (19.05%)
- Software engineering (14.88%)
What were the highlights of his more recent work (between 2015-2020)?
- Debugging (15.48%)
- Fuzz testing (5.95%)
- Software (14.29%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Debugging, Fuzz testing, Software, Concurrency and Software engineering.
His Debugging study integrates concerns from other disciplines, such as Benchmark, Atomicity, Test case, Code coverage and Algorithm.
His specific area of interest is Test case, where W. K. Chan studies Test suite.
W. K. Chan interconnects Computer security, Smart contract and Graphics processing unit in the investigation of issues within Fuzz testing.
His Software research incorporates elements of Data mining, Imputation and Computer graphics.
His Software engineering study combines topics from a wide range of disciplines, such as Social software engineering and Software requirements.
Between 2015 and 2020, his most popular works were:
- ContractFuzzer: fuzzing smart contracts for vulnerability detection (151 citations)
- A theoretical analysis on cloning the failed test cases to improve spectrum-based fault localization (19 citations)
- A theoretical analysis on cloning the failed test cases to improve spectrum-based fault localization (19 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
W. K. Chan spends much of his time researching Debugging, Test case, Fuzz testing, Algorithm and Software.
The study incorporates disciplines such as Multithreading, Subspace topology, Concurrent computing and Concurrency control in addition to Debugging.
W. K. Chan performs multidisciplinary study on Test case and Asynchronous communication in his works.
He has researched Fuzz testing in several fields, including Graphical user interface, Delta Debugging, Oracle, Smart contract and Crash.
His studies in Algorithm integrate themes in fields like Test suite, Reliability engineering, Code coverage, Software debugging and Spectrum.
As part of the same scientific family, he usually focuses on Software, concentrating on Imputation and intersecting with Data mining, k-nearest neighbors algorithm and Feature selection.
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