What is he best known for?
The fields of study he is best known for:
- Software
- Programming language
- Software engineering
Christian Bird mostly deals with Software, Software engineering, World Wide Web, Knowledge management and Software development.
His Component-based software engineering study in the realm of Software interacts with subjects such as Empirical research.
His work investigates the relationship between Software engineering and topics such as Process that intersect with problems in Field, Applications of artificial intelligence and Software versioning.
The study incorporates disciplines such as Commit and Source code in addition to World Wide Web.
His Knowledge management research includes themes of Python, Team software process, Personal software process and Social network.
His Software development research focuses on Software construction in particular.
His most cited work include:
- Mining email social networks (468 citations)
- Expectations, outcomes, and challenges of modern code review (362 citations)
- Fair and balanced?: bias in bug-fix datasets (265 citations)
What are the main themes of his work throughout his whole career to date?
Christian Bird focuses on Software, Software engineering, Software development, World Wide Web and Knowledge management.
His work on Software bug as part of general Software research is often related to Empirical research, thus linking different fields of science.
His work deals with themes such as Software project management, Personal software process, Java and Process, which intersect with Software engineering.
His work on Software development deals in particular with Software construction, Social software engineering, Software peer review, Software quality and Software analytics.
He studies Software quality, focusing on Code review in particular.
His World Wide Web research integrates issues from Codebase, Open source software, Project management and Commit.
He most often published in these fields:
- Software (37.84%)
- Software engineering (34.46%)
- Software development (28.38%)
What were the highlights of his more recent work (between 2018-2021)?
- Software (37.84%)
- Software engineering (34.46%)
- DevOps (3.38%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Software, Software engineering, DevOps, Knowledge management and Parsing.
His research is interdisciplinary, bridging the disciplines of Knowledge engineering and Software.
His studies in Software engineering integrate themes in fields like Software quality, Load balancing and Commit.
His DevOps study combines topics in areas such as Representation, Metadata and Static analysis.
He works mostly in the field of Knowledge management, limiting it down to topics relating to Agile software development and, in certain cases, Code review, as a part of the same area of interest.
His work in Information and Communications Technology is not limited to one particular discipline; it also encompasses Software development.
Between 2018 and 2021, his most popular works were:
- Software engineering for machine learning: a case study (155 citations)
- Designing Corporate Hackathons With a Purpose: The Future of Software Development (21 citations)
- What Makes a Great Manager of Software Engineers (17 citations)
In his most recent research, the most cited papers focused on:
- Software
- Programming language
- Operating system
Software, Knowledge management, Empirical research, Software engineering and Job satisfaction are his primary areas of study.
Christian Bird integrates many fields in his works, including Software and Conceptual framework.
His work focuses on many connections between Domain and other disciplines, such as Information technology, that overlap with his field of interest in Component-based software engineering, Artificial intelligence, Workflow, Process and Machine learning.
His Information needs study combines topics from a wide range of disciplines, such as Recommender system, Task and Code.
The Recommender system study combines topics in areas such as Code review and Set.
His Collaborative learning research incorporates themes from Event, Software development and Information and Communications Technology.
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