H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 51 Citations 9,131 418 World Ranking 2734 National Ranking 72

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Software
  • Programming language

John Grundy spends much of his time researching Software engineering, Software development, Software, Cloud computing and Programming language. His Software engineering research integrates issues from Software system, Systems engineering, Usability, Software architecture and Computer-aided software engineering. His Systems engineering study incorporates themes from Component-based software engineering, Component and Information management.

His Software development research is multidisciplinary, relying on both Software versioning and Engineering management. In his study, which falls under the umbrella issue of Software, Test plan, Conceptual architecture, Software artifacts and Documentation is strongly linked to Traceability. His Cloud computing research is multidisciplinary, incorporating perspectives in Computer security, Real-time computing and Software as a service.

His most cited work include:

  • Empirical Studies of Pair Programming for CS/SE Teaching in Higher Education: A Systematic Literature Review (203 citations)
  • An analysis of the cloud computing security problem (190 citations)
  • Inconsistency management for multiple-view software development environments (163 citations)

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

John Grundy mainly focuses on Software engineering, Software, Software development, Programming language and Human–computer interaction. John Grundy has researched Software engineering in several fields, including Software system, Component-based software engineering, Systems engineering, Software architecture and Computer-aided software engineering. In his study, Common Component Architecture is inextricably linked to Component, which falls within the broad field of Component-based software engineering.

Software is closely attributed to Source code in his research. His Visual programming language and Formal specification study in the realm of Programming language interacts with subjects such as Visual language. His study in Human–computer interaction is interdisciplinary in nature, drawing from both User interface and Visualization.

He most often published in these fields:

  • Software engineering (36.33%)
  • Software (14.42%)
  • Software development (14.23%)

What were the highlights of his more recent work (between 2018-2021)?

  • Software engineering (36.33%)
  • Software (14.42%)
  • Cloud computing (7.87%)

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

John Grundy mainly investigates Software engineering, Software, Cloud computing, Artificial intelligence and Edge computing. He interconnects Big data, Robustness and Code in the investigation of issues within Software engineering. The various areas that John Grundy examines in his Software study include Web service and Metric.

His Cloud computing research incorporates elements of Distributed computing, Interface, Leverage, Scheduling and Documentation. In his work, Source code is strongly intertwined with Machine learning, which is a subfield of Artificial intelligence. He combines subjects such as Quality of experience and Computer network, Server with his study of Edge computing.

Between 2018 and 2021, his most popular works were:

  • Automatic Feature Learning for Predicting Vulnerable Software Components (32 citations)
  • Neural Network-based Detection of Self-Admitted Technical Debt: From Performance to Explainability (26 citations)
  • Lessons learned from using a deep tree-based model for software defect prediction in practice (25 citations)

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

  • Operating system
  • Software
  • Programming language

His primary scientific interests are in Artificial intelligence, Software, Cloud computing, Machine learning and Software engineering. His Artificial intelligence research focuses on Stability and how it relates to Software development, Technical debt, Exploit and Convolutional neural network. His Software study integrates concerns from other disciplines, such as Business process, Application programming interface, Field, Computation offloading and Task management.

His Cloud computing research includes themes of Documentation, Enhanced Data Rates for GSM Evolution and Distributed computing, Distributed database. His work is dedicated to discovering how Machine learning, Source code are connected with Software bug, Code and Android and other disciplines. His work deals with themes such as Suite, Modeling language, Smart contract and Big data, which intersect with Software 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

Empirical Studies of Pair Programming for CS/SE Teaching in Higher Education: A Systematic Literature Review

N. Salleh;E. Mendes;J. Grundy.
IEEE Transactions on Software Engineering (2011)

341 Citations

An analysis of the cloud computing security problem

Mohamed Abdelrazek;John Grundy;I Mueller.
asia pacific software engineering conference (2010)

286 Citations

Inconsistency management for multiple-view software development environments

J. Grundy;J. Hosking;W.B. Mugridge.
IEEE Transactions on Software Engineering (1998)

248 Citations

Collaboration-Based Cloud Computing Security Management Framework

Mohemed Almorsy;John Grundy;Amani S. Ibrahim.
international conference on cloud computing (2011)

248 Citations

Aspect-oriented requirements engineering for component-based software systems

J. Grundy.
Requirements Engineering (1999)

224 Citations

Design pattern modelling and instantiation using DPML

David Mapelsden;John Hosking;John Grundy.
technology of object oriented languages and systems (2002)

189 Citations

A generic approach to supporting diagram differencing and merging for collaborative design

Akhil Mehra;John Grundy;John Hosking.
automated software engineering (2005)

180 Citations

A 3D metaphor for software production visualization

T. Panas;R. Berrigan;J. Grundy.
ieee international conference on information visualization (2003)

149 Citations

CloudSec: A security monitoring appliance for Virtual Machines in the IaaS cloud model

Amani S. Ibrahim;James Hamlyn-Harris;John Grundy;Mohamed Almorsy.
network and system security (2011)

137 Citations

A systematic mapping study of mobile application testing techniques

Samer Zein;Norsaremah Salleh;John Grundy.
Journal of Systems and Software (2016)

132 Citations

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Autonomous University of Madrid

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Victoria University of Wellington

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Steve Easterbrook

University of Toronto

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Singapore Management University

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Jean Vanderdonckt

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Commonwealth Scientific and Industrial Research Organisation

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Paul Grünbacher

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Michele Lanza

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