What is he best known for?
The fields of study he is best known for:
- Software
- Operating system
- Programming language
His primary areas of study are Reliability engineering, Mutation, Fault detection and isolation, Debugging and Algorithm.
His studies examine the connections between Reliability engineering and genetics, as well as such issues in Program testing, with regards to Benchmark.
He has researched Fault detection and isolation in several fields, including Test set, Data mining, Fault coverage and Minification.
His Debugging study integrates concerns from other disciplines, such as Software fault tolerance, Process and Reliability.
His research on Software fault tolerance concerns the broader Software.
His Algorithm research incorporates themes from Statement, Statistics and Test case.
His most cited work include:
- A Survey on Software Fault Localization (435 citations)
- Reducing the cost of mutation testing: an empirical study (191 citations)
- Effect of test set minimization on fault detection effectiveness (181 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Software, Software engineering, Reliability engineering, Test case and Debugging.
W. Eric Wong interconnects Quality, Data mining and Cluster analysis in the investigation of issues within Software.
His Reliability engineering study combines topics in areas such as Test and Empirical research.
His study in Test case is interdisciplinary in nature, drawing from both Programming language, Test data generation, Automatic test pattern generation and Fault detection and isolation.
His Fault detection and isolation research includes elements of Algorithm and Combinatorial testing.
His Debugging course of study focuses on Software fault tolerance and Computer engineering.
He most often published in these fields:
- Software (29.38%)
- Software engineering (23.73%)
- Reliability engineering (17.51%)
What were the highlights of his more recent work (between 2015-2020)?
- Software (29.38%)
- Reliability engineering (17.51%)
- Software bug (7.34%)
In recent papers he was focusing on the following fields of study:
W. Eric Wong focuses on Software, Reliability engineering, Software bug, Debugging and Software system.
His biological study deals with issues like Cluster analysis, which deal with fields such as Theoretical computer science.
His Reliability engineering research integrates issues from Nonparametric statistics, Software fault, Data mining and Adaptive software.
His studies deal with areas such as Embedded system and Code as well as Software bug.
His biological study spans a wide range of topics, including Software fault tolerance, Process and Fault coverage.
He combines subjects such as Software development, Function, Fault detection and isolation, Empirical research and Combinatorial testing with his study of Software system.
Between 2015 and 2020, his most popular works were:
- A Survey on Software Fault Localization (435 citations)
- Genetic Algorithm-based Test Generation for Software Product Line with the Integration of Fault Localization Techniques (26 citations)
- Model-based mutation testing-Approach and case studies (25 citations)
In his most recent research, the most cited papers focused on:
- Software
- Operating system
- Statistics
W. Eric Wong mostly deals with Software, Debugging, Software system, Reliability engineering and Software engineering.
W. Eric Wong has included themes like Hazard analysis and Test case in his Software study.
His Debugging research is multidisciplinary, incorporating perspectives in Software bug, Process and Software fault.
His Software system research includes themes of Quality and Computer security.
His study of Software fault tolerance is a part of Reliability engineering.
His research integrates issues of Ranking, Field and Metric in his study of Software engineering.
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