What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Software
Michael W. Godfrey focuses on Software system, Software engineering, Software maintenance, Programming language and Software development.
His studies in Software system integrate themes in fields like Clone, Code, Cloning and Source code.
His Cloning study incorporates themes from Sandbox, World Wide Web, Reverse engineering and Taxonomy.
His research integrates issues of Software evolution, Software architecture description, Software bug, Software and KPI-driven code analysis in his study of Software engineering.
He interconnects Computer security, Testbed and Duplicate code in the investigation of issues within Software maintenance.
His Software development research integrates issues from Topic model, Variety, Data science and Relational database management system.
His most cited work include:
- Cloning considered harmful considered harmful: patterns of cloning in software (285 citations)
- Using origin analysis to detect merging and splitting of source code entities (256 citations)
- "Cloning Considered Harmful" Considered Harmful (217 citations)
What are the main themes of his work throughout his whole career to date?
Software engineering, Software system, Software, Software development and Source code are his primary areas of study.
The study incorporates disciplines such as Reverse engineering, Software development process, Reference architecture, Software quality and Software construction in addition to Software engineering.
His biological study spans a wide range of topics, including Software architecture and Cloning.
His Software research incorporates themes from Theoretical computer science, Set, Systems engineering, World Wide Web and Information retrieval.
While the research belongs to areas of Software development, Michael W. Godfrey spends his time largely on the problem of Data science, intersecting his research to questions surrounding Latent Dirichlet allocation.
His study in Source code is interdisciplinary in nature, drawing from both Java and Database.
He most often published in these fields:
- Software engineering (47.48%)
- Software system (33.81%)
- Software (29.50%)
What were the highlights of his more recent work (between 2012-2021)?
- Software engineering (47.48%)
- Software (29.50%)
- Software development (23.74%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Software engineering, Software, Software development, Source code and World Wide Web.
His Software engineering research is multidisciplinary, relying on both Application lifecycle management, Code review, Systems engineering and Empirical research.
His work deals with themes such as Information retrieval and Feature, which intersect with Software.
Michael W. Godfrey has researched Software development in several fields, including Latent Dirichlet allocation, Artifact and Data science.
His research in Source code intersects with topics in Software system, Program comprehension, Toolchain and Static program analysis.
Michael W. Godfrey mostly deals with Software evolution in his studies of Software system.
Between 2012 and 2021, his most popular works were:
- Investigating code review quality: Do people and participation matter? (72 citations)
- Mining modern repositories with elasticsearch (72 citations)
- Code review quality: how developers see it (71 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Software
Michael W. Godfrey spends much of his time researching Software engineering, Software quality, Code review, Source code and Software bug.
His Code review study also includes
- KPI-driven code analysis which connect with Team software process and Software technical review,
- Component that intertwine with fields like Reverse engineering,
- Process management that intertwine with fields like Code.
His Source code research includes themes of Software system, Domain knowledge, Database and Code refactoring.
His Software system study integrates concerns from other disciplines, such as Profiling and Traceability.
His Software bug research incorporates elements of Software development, Schedule, Software metric, Analytics and Project management.
He has included themes like Knowledge management and Information needs in his Software study.
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