What is he best known for?
The fields of study he is best known for:
- Software
- Programming language
- Software engineering
The scientist’s investigation covers issues in Reliability engineering, Regression testing, Test suite, Test case and Software.
His Reliability engineering research integrates issues from Software maintenance, Higher order mutation, Keyword-driven testing, Fault detection and isolation and Test program.
His research integrates issues of Test strategy, Selection, Software reliability testing and Non-regression testing in his study of Regression testing.
The study incorporates disciplines such as Software measurement, Machine learning, Artificial intelligence and Test script in addition to Test suite.
His work is dedicated to discovering how Test case, Empirical research are connected with Debugging and other disciplines.
His work carried out in the field of Software brings together such families of science as Call graph, Profiling and Directed graph.
His most cited work include:
- Prioritizing test cases for regression testing (1083 citations)
- Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact (911 citations)
- Test case prioritization: a family of empirical studies (743 citations)
What are the main themes of his work throughout his whole career to date?
Gregg Rothermel spends much of his time researching Regression testing, Test case, Reliability engineering, Software and Test suite.
The Regression testing study combines topics in areas such as Machine learning, Selection, Artificial intelligence, Software reliability testing and Empirical research.
His Test case research is multidisciplinary, relying on both Code coverage, Data mining and Code.
His Reliability engineering research also works with subjects such as
- Fault detection and isolation together with System testing,
- Test strategy together with Software performance testing.
His Software research focuses on subjects like Program analysis, which are linked to Distributed computing.
His research investigates the connection between Test suite and topics such as Test Management Approach that intersect with problems in Test script, Manual testing, Keyword-driven testing, Non-regression testing and Test data generation.
He most often published in these fields:
- Regression testing (37.06%)
- Test case (28.93%)
- Reliability engineering (28.43%)
What were the highlights of his more recent work (between 2014-2020)?
- Regression testing (37.06%)
- Web application (6.09%)
- Test (18.78%)
In recent papers he was focusing on the following fields of study:
Gregg Rothermel mainly investigates Regression testing, Web application, Test, Software and Test case.
His studies deal with areas such as Reliability engineering, Empirical research and Software engineering as well as Regression testing.
His Test suite study in the realm of Test connects with subjects such as Work.
He interconnects Software testing, Thread and Concurrency in the investigation of issues within Test suite.
His work on Software system as part of his general Software study is frequently connected to Reuse, thereby bridging the divide between different branches of science.
His Test case research includes themes of Machine learning, Software reliability testing, Software performance testing and Artificial intelligence.
Between 2014 and 2020, his most popular works were:
- WATERFALL: an incremental approach for repairing record-replay tests of web applications (26 citations)
- Why do Record/Replay Tests of Web Applications Break? (23 citations)
- A Cost-Effective Random Testing Method for Programs with Non-Numeric Inputs (23 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Software engineering
His primary scientific interests are in Regression testing, Software, Web application, Code and Embedded system.
The various areas that Gregg Rothermel examines in his Regression testing study include White-box testing, Risk-based testing, Web page, Test case and Fuzz testing.
Gregg Rothermel has included themes like Orthogonal array testing, Machine learning and Theoretical computer science in his Test case study.
His study in the fields of Software testing under the domain of Software overlaps with other disciplines such as Best practice.
His biological study spans a wide range of topics, including Test, Test suite, Reliability engineering, Empirical research and Software engineering.
His Embedded system study combines topics from a wide range of disciplines, such as Java, Debugging and Distributed computing.
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