What is she best known for?
The fields of study she is best known for:
- Programming language
- Artificial intelligence
- Software
Her main research concerns End user, Software engineering, Human–computer interaction, Debugging and Programming language.
Her End user research includes elements of Software, Correctness and Formative assessment.
She has researched Software in several fields, including Web page and Knowledge management.
Her Software engineering research incorporates elements of Software maintenance, Software development, Interface, User interface design and Empirical research.
Her Human–computer interaction study integrates concerns from other disciplines, such as Active learning, Machine learning and Artificial intelligence.
The study incorporates disciplines such as Intelligent agent and Soundness in addition to Debugging.
Her most cited work include:
- The state of the art in end-user software engineering (393 citations)
- Principles of Explanatory Debugging to Personalize Interactive Machine Learning (263 citations)
- A methodology for testing spreadsheets (192 citations)
What are the main themes of her work throughout her whole career to date?
Margaret Burnett mainly investigates End user, Software engineering, Programming language, Human–computer interaction and Software.
The concepts of her End user study are interwoven with issues in Web application, Debugging, End user software engineering and Artificial intelligence.
Her Debugging research is multidisciplinary, relying on both Correctness and Information foraging.
Her studies in Software engineering integrate themes in fields like Software maintenance and Software development.
The various areas that Margaret Burnett examines in her Human–computer interaction study include User interface and Empirical research.
Her study in Software is interdisciplinary in nature, drawing from both Knowledge management and Data science.
She most often published in these fields:
- End user (30.43%)
- Software engineering (26.45%)
- Programming language (22.46%)
What were the highlights of her more recent work (between 2014-2021)?
- Software (20.29%)
- Data science (8.33%)
- Empirical research (11.59%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Software, Data science, Empirical research, Human–computer interaction and Knowledge management.
In general Software study, her work on Software walkthrough and Software development often relates to the realm of Work, thereby connecting several areas of interest.
Margaret Burnett has included themes like Intelligent agent, Field, Information foraging, Debugging and Social software engineering in her Data science study.
Her studies deal with areas such as Active learning and Cluster as well as Debugging.
Her Human–computer interaction research includes themes of Programming language, End user and Embedded system.
Her work investigates the relationship between Visualization and topics such as Software engineering that intersect with problems in Time on task.
Between 2014 and 2021, her most popular works were:
- Principles of Explanatory Debugging to Personalize Interactive Machine Learning (263 citations)
- A practical guide to controlled experiments of software engineering tools with human participants (109 citations)
- GenderMag: A Method for Evaluating Software's Gender Inclusiveness (69 citations)
In her most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Software
Margaret Burnett mainly focuses on Data science, Empirical research, Set, Software and Human–computer interaction.
Her work deals with themes such as Information foraging, Personal software process, Formative assessment, Debugging and Focus, which intersect with Data science.
Her research investigates the connection with Empirical research and areas like Management science which intersect with concerns in Time on task.
Her study on Software Engineering Process Group, Software walkthrough and Software development is often connected to Design modification as part of broader study in Software.
Margaret Burnett interconnects Programming language, Active learning, Situated, Software design pattern and End user in the investigation of issues within Human–computer interaction.
Her End user research is multidisciplinary, incorporating elements of Learning theory, Traditional learning, Real-time strategy, Error-driven learning and Machine learning.
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