What is he best known for?
The fields of study he is best known for:
- Software
- Software engineering
- Software development
His primary areas of study are Software architecture, Software engineering, Architectural pattern, Knowledge management and Software system.
His Software architecture study results in a more complete grasp of Architecture.
As a part of the same scientific family, he mostly works in the field of Software engineering, focusing on Software development and, on occasion, Finance.
His Architectural pattern research is multidisciplinary, incorporating perspectives in Architectural geometry, Data science and Architectural technology.
The concepts of his Knowledge management study are interwoven with issues in Empirical research and Software design pattern, Pattern language.
His Software system study incorporates themes from End user, Technical debt, Source code, Maintainability and Process management.
His most cited work include:
- A systematic mapping study on technical debt and its management (299 citations)
- Architectural Patterns Revisited - A Pattern Language (169 citations)
- A comparative study of architecture knowledge management tools (158 citations)
What are the main themes of his work throughout his whole career to date?
Paris Avgeriou focuses on Software engineering, Software architecture, Software, Architectural pattern and Software system.
The study incorporates disciplines such as Software peer review, Software development, Resource-oriented architecture and Social software engineering in addition to Software engineering.
As part of one scientific family, Paris Avgeriou deals mainly with the area of Software architecture, narrowing it down to issues related to the Knowledge management, and often Learning sciences.
His studies in Software integrate themes in fields like Domain, Viewpoints, Documentation and Engineering management.
In his study, Interaction design pattern is inextricably linked to Pattern language, which falls within the broad field of Architectural pattern.
His work carried out in the field of Software system brings together such families of science as Software quality, Software development process and Process management.
He most often published in these fields:
- Software engineering (42.27%)
- Software architecture (35.86%)
- Software (22.74%)
What were the highlights of his more recent work (between 2016-2021)?
- Software (22.74%)
- Technical debt (11.37%)
- Context (13.41%)
In recent papers he was focusing on the following fields of study:
Software, Technical debt, Context, Empirical research and Software engineering are his primary areas of study.
His study of Software system is a part of Software.
His biological study spans a wide range of topics, including Domain, Software architecture, Software quality and Software development process.
His research in Technical debt intersects with topics in Software maintenance, Source code, Software evolution, Risk analysis and Debt.
In his study, which falls under the umbrella issue of Software engineering, Lehman's laws of software evolution is strongly linked to Java.
His Process management research incorporates themes from Architecture and Flexibility.
Between 2016 and 2021, his most popular works were:
- Identifying, categorizing and mitigating threats to validity in software engineering secondary studies (36 citations)
- Quality attributes and quality models for ambient assisted living software systems: A systematic mapping (33 citations)
- A systematic literature review on methods that handle multiple quality attributes in architecture-based self-adaptive systems (30 citations)
In his most recent research, the most cited papers focused on:
- Software
- Software engineering
- Software development
Paris Avgeriou spends much of his time researching Technical debt, Empirical research, Context, Risk analysis and Data mining.
His Technical debt study is associated with Software.
His Context research spans across into areas like Data science, Domain, Software architecture, Software construction and Requirements engineering.
His Data science course of study focuses on Software system and Quality assurance, Software engineering and Java.
Paris Avgeriou combines subjects such as System of systems, Viewpoints, Tracing and Knowledge management with his study of Software architecture.
His Data mining study integrates concerns from other disciplines, such as Machine learning, Software quality, Artificial intelligence and Code refactoring.
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