H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 50 Citations 7,226 200 World Ranking 2923 National Ranking 19

Research.com Recognitions

Awards & Achievements

2014 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Software engineering
  • Software
  • Programming language

His primary scientific interests are in Software engineering, Software, Software development, Software system and Unified Modeling Language. In general Software engineering, his work in Traceability is often linked to Requirements traceability linking many areas of study. He works mostly in the field of Software, limiting it down to topics relating to Reverse engineering and, in certain cases, Feature model.

Software requirements specification is the focus of his Software development research. His work deals with themes such as Project management and Software development process, which intersect with Software system. His study in the field of Class diagram is also linked to topics like Design tool.

His most cited work include:

  • Using the WinWin spiral model: a case study (268 citations)
  • Instant consistency checking for the UML (221 citations)
  • A scenario-driven approach to trace dependency analysis (154 citations)

What are the main themes of his work throughout his whole career to date?

Alexander Egyed focuses on Software engineering, Software, Software system, Software development and Consistency. His study of Traceability is a part of Software engineering. His Traceability research integrates issues from Software maintenance and Code.

His work is dedicated to discovering how Software, Data mining are connected with Feature and other disciplines. His study in Software system is interdisciplinary in nature, drawing from both Software architecture and Correctness. In his study, Theoretical computer science is strongly linked to Scalability, which falls under the umbrella field of Consistency.

He most often published in these fields:

  • Software engineering (48.26%)
  • Software (40.15%)
  • Software system (27.80%)

What were the highlights of his more recent work (between 2016-2021)?

  • Software (40.15%)
  • Software engineering (48.26%)
  • Code (6.95%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Software, Software engineering, Code, Task and Consistency. Many of his research projects under Software are closely connected to Reuse with Reuse, tying the diverse disciplines of science together. He has included themes like Software product line and Distributed development in his Software system study.

He interconnects Model-driven architecture, Unified Modeling Language and Scalability in the investigation of issues within Software engineering. The concepts of his Task study are interwoven with issues in Feature, Artifact and Human–computer interaction. His work investigates the relationship between Consistency and topics such as Collaborative engineering that intersect with problems in Cloud computing.

Between 2016 and 2021, his most popular works were:

  • Reengineering legacy applications into software product lines: a systematic mapping (58 citations)
  • Variability extraction and modeling for product variants. (39 citations)
  • Maintaining Consistency across Engineering Artifacts (14 citations)

In his most recent research, the most cited papers focused on:

  • Software
  • Software engineering
  • Programming language

Alexander Egyed spends much of his time researching Software, Software engineering, Data mining, Software development and Consistency. His research in the fields of Software system, Software product line and Code refactoring overlaps with other disciplines such as Reuse. His studies deal with areas such as Scalability and Key as well as Software engineering.

His Data mining study combines topics in areas such as Dependency, Set and Traceability. His work carried out in the field of Software development brings together such families of science as Feature extraction and Information visualization. His research in Consistency intersects with topics in Unified Modeling Language and Collaborative engineering.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Using the WinWin spiral model: a case study

B. Boehm;A. Egyed;J. Kwan;D. Port.
IEEE Computer (1998)

501 Citations

Instant consistency checking for the UML

Alexander Egyed.
international conference on software engineering (2006)

331 Citations

A scenario-driven approach to trace dependency analysis

A. Egyed.
IEEE Transactions on Software Engineering (2003)

263 Citations

Automating requirements traceability: Beyond the record & replay paradigm

A. Egyed;P. Grunbacher.
automated software engineering (2002)

222 Citations

Fixing Inconsistencies in UML Design Models

Alexander Egyed.
international conference on software engineering (2007)

222 Citations

Generating and Evaluating Choices for Fixing Inconsistencies in UML Design Models

A. Egyed;E. Letier;A. Finkelstein.
automated software engineering (2008)

164 Citations

Reconciling software requirements and architectures with intermediate models

Paul Grünbacher;Alexander Egyed;Nenad Medvidovic.
Software and Systems Modeling (2004)

159 Citations

Identifying requirements conflicts and cooperation: how quality attributes and automated traceability can help

A. Egyed;P. Grunbacher.
IEEE Software (2004)

156 Citations

Automatically Detecting and Tracking Inconsistencies in Software Design Models

Alexander Egyed.
IEEE Transactions on Software Engineering (2011)

154 Citations

Reconciling software requirements and architectures: the CBSP approach

P. Grunbacher;A. Egyed;N. Medvidovic.
Requirements Engineering (2001)

151 Citations

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