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.
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.
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.
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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A systematic mapping study on technical debt and its management
Zengyang Li;Paris Avgeriou;Peng Liang.
Towards a Pattern Language for Learning Management Systems
Paris Avgeriou;Andreas Papasalouros;Symeon Retalis;Manolis Skordalakis.
Architectural Patterns Revisited - A Pattern Language
Paris Avgeriou;Uwe Zdun.
Variability in Software Systems—A Systematic Literature Review
Matthias Galster;Danny Weyns;Dan Tofan;Bartosz Michalik.
A comparative study of architecture knowledge management tools
Antony Tang;Paris Avgeriou;Anton Jansen;Rafael Capilla.
Using Patterns to Capture Architectural Decisions
N.B. Harrison;P. Avgeriou;U. Zdlin.
Managing Technical Debt in Software Engineering (Dagstuhl Seminar 16162)
Paris Avgeriou;Philippe Kruchten;Ipek Ozkaya;Carolyn B. Seaman.
Tool Support for Architectural Decisions
A. Jansen;J. van der Ven;P. Avgeriou;D.K. Hammer.
VxBPEL: Supporting variability for Web services in BPEL
Michiel Koning;Chang-ai Sun;Marco Sinnema;Paris Avgeriou.
A documentation framework for architecture decisions
U. van Heesch;P. Avgeriou;R. Hilliard.
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