What is he best known for?
The fields of study he is best known for:
- Software
- Programming language
- Artificial intelligence
His main research concerns Reliability engineering, Regression testing, Test case, Fault detection and isolation and Software.
His studies deal with areas such as Software measurement, Test Management Approach and Non-regression testing as well as Reliability engineering.
His work in Regression testing tackles topics such as Test strategy which are related to areas like Software testing, Systems engineering, Risk analysis and Software performance testing.
Sebastian Elbaum studies Test suite which is a part of Test case.
His Fault detection and isolation study integrates concerns from other disciplines, such as Computer-aided software engineering, Distributed computing and Identification.
His Software study focuses on Software quality in particular.
His most cited work include:
- Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact (911 citations)
- Test case prioritization: a family of empirical studies (743 citations)
- Incorporating varying test costs and fault severities into test case prioritization (292 citations)
What are the main themes of his work throughout his whole career to date?
Sebastian Elbaum mainly focuses on Software, Software engineering, Reliability engineering, Distributed computing and Real-time computing.
His work on Software system and Software quality as part of general Software study is frequently linked to Empirical research, bridging the gap between disciplines.
The study incorporates disciplines such as Web service, World Wide Web, Web modeling, Software testing and Software development process in addition to Software engineering.
He has included themes like Test suite, Test case, Fault detection and isolation, Test Management Approach and Regression testing in his Reliability engineering study.
His Regression testing research integrates issues from Test strategy, System testing, Software reliability testing and Non-regression testing.
His biological study deals with issues like Adaptation, which deal with fields such as Asynchronous communication.
He most often published in these fields:
- Software (21.16%)
- Software engineering (17.46%)
- Reliability engineering (15.87%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (8.47%)
- Code (9.52%)
- Software (21.16%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Code, Software, Real-time computing and Machine learning.
His Artificial intelligence study combines topics in areas such as State and Computer vision.
Sebastian Elbaum interconnects Annotation, Program analysis, Robotic systems and Test suite in the investigation of issues within Code.
His Robotic systems research is multidisciplinary, incorporating perspectives in Middleware, Reliability engineering and Key.
His Software study combines topics from a wide range of disciplines, such as Management science and Data science.
He has included themes like Intersection, Deep learning, Commit and Regression testing in his Software engineering study.
Between 2015 and 2021, his most popular works were:
- Smokey comes of age: unmanned aerial systems for fire management (26 citations)
- Code search with input/output queries (25 citations)
- Redefining prioritization: continuous prioritization for continuous integration (22 citations)
In his most recent research, the most cited papers focused on:
- Software
- Programming language
- Artificial intelligence
The scientist’s investigation covers issues in Code, Static analysis, Program analysis, Real-time computing and Software.
Sebastian Elbaum has researched Code in several fields, including Variable, Test suite, Commit and Continuous integration.
As part of the same scientific family, he usually focuses on Static analysis, concentrating on Annotation and intersecting with Information retrieval, Domain and Class.
His Program analysis research includes themes of Program synthesis, Computer engineering, Pruning, Space and Side effect.
He combines subjects such as Field, Ignition system, Crew and Robot operating system with his study of Real-time computing.
His Software research is classified as research in Programming language.
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