Zobrazeno 1 - 10 of 49 pro vyhledávání: '"Des Greer"'
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Akademický článek
Impact in Software Engineering Activities After One Year of COVID-19 Restrictions for Startups and Established Companies
Autor: Hosna Hooshyar, Eduardo Guerra, Jorge Melegati, Dron Khanna, Abdullah Aldaeej, Gerardo Matturro, Luciana Zaina, Des Greer, Usman Rafiq, Rafael Chanin, Xiaofeng Wang, Juan Garbajosa, Pekka Abrahamsson, Foutse Khomh, Anh Nguyen-Duc
Publikováno v: IEEE Access, Vol 11, Pp 55178-55203 (2023)
The restrictions imposed by the COVID-19 pandemic required software development teams to adapt, being forced to work remotely and adjust the software engineering activities accordingly. In the studies evaluating these effects, a few have assessed the
Externí odkaz: https://doaj.org/article/90b71fc666fa410794eef8d98f8ed283
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2
Cutting down high dimensional data with Fuzzy weighted forests (FWF)
Autor: Tao Wang, Richard Gault, Des Greer
Publikováno v: Wang, T, Gault, R & Greer, D 2022, Cutting down high dimensional data with Fuzzy weighted forests (FWF) . in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): Proceedings . IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): Proceedings, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882660
Takagi-Sugeno-Kang (TSK) rule-based fuzzy systems struggle to deal with high dimensional data and suffer from the curse of dimensionality. As the number of input features increases, the number of rules increases exponentially, which reduces the model
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e15e1b801037099fce7893429996dbef
https://doi.org/10.1109/fuzz-ieee55066.2022.9882660
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5
A novel Data-driven fuzzy aggregation method for Takagi-Sugeno-Kang fuzzy Neural network system using ensemble learning
Autor: Des Greer, Richard Gault, Tao Wang
Publikováno v: Wang, T, Gault, R & Greer, D 2021, A novel Data-driven fuzzy aggregation method for Takagi-Sugeno-Kang fuzzy Neural network system using ensemble learning . in IEEE International Conference on Fuzzy Systems (FUZZ-IEEE): Proceedings . 1558-4739, Institute of Electrical and Electronics Engineers Inc., IEEE International Conf. on Fuzzy Systems 2021, 11/07/2021 . https://doi.org/10.1109/FUZZ45933.2021.9494396
FUZZ-IEEE
Fuzzy systems can be successfully employed to model vague or imprecise information in order to solve multi-attribute decision-making problems with uncertainty in the real world. This paper proposes a novel data-driven fuzzy aggregation method for Tak
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc843490bdcd31fa1ef7862a787f81f2
https://pure.qub.ac.uk/en/publications/8148404f-de7c-4c7b-b186-dc38ac6632c4
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6
A survey of search-based refactoring for software maintenance
Autor: Michael Mohan, Des Greer
Publikováno v: Journal of Software Engineering Research and Development, Vol 6, Iss 1, Pp 1-52 (2018)
This survey reviews published materials related to the specific area of Search-Based Software Engineering that concerns software maintenance and, in particular, refactoring. The survey aims to give a comprehensive review of the use of search-based re
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doajarticles::2910233047d5cb67c5b570c5db278af2
http://link.springer.com/article/10.1186/s40411-018-0046-4
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8
Agile risk management using software agents
Autor: Edzreena Edza Odzaly, Darryl Stewart, Des Greer
Publikováno v: Odzaly, E E, Greer, D & Stewart, D 2017, ' Agile risk management using software agents ', Journal of Ambient Intelligence and Humanized Computing, pp. 1-19 . https://doi.org/10.1007/s12652-017-0488-2
Risk management is an important process in Software Engineering. However, it can be perceived as somewhat contrary to the more lightweight processes used in Agile methods. Thus an appropriate and realistic risk management model is required as well as
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0326d39e4c6a4de46d37100a3ca8c5f
https://doi.org/10.1007/s12652-017-0488-2
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9
Use of Wearable Technologies with Machine Learning to Understand University Student Learning Behaviours to Predict Students at Risk of Failing
Autor: Aidan McGowan, Darryl Stewart, Andrew McDowell, Phil Hanna, Des Greer, John Busch, Matthew Collins, David Cutting, Neil Anderson
Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030256289
IHIET
The challenges of effective teaching in mass education environments are well documented. The cohorts of large size generally means that identification of struggling students is usually only at a point when meaningful interventions are too late. This
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8387dce0d06e37bf3f6f861ad479875e
https://doi.org/10.1007/978-3-030-25629-6_50
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10
Maximizing Refactoring Coverage in an Automated Maintenance Approach Using Multi-Objective Optimization
Autor: Paul McMullan, Des Greer, Michael Mohan
Publikováno v: IWOR@ICSE
Mohan, M, Greer, D & McMullan, P 2019, Maximizing Refactoring Coverage in an Automated Maintenance Approach using Multi-Objective Optimization . in Proceddings of the 3rd International Workshop on Refactoring (IWOR) . Institute of Electrical and Electronics Engineers Inc., pp. 31-38 . https://doi.org/10.1109/IWoR.2019.00014
This paper describes a multi-objective genetic algorithm used to automate software refactoring. The approach is validated using a set of open source Java programs with a purpose built tool, MultiRefactor. The tool uses a metric function to measure qu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3e558f482bb9e829e31ce515de339e
https://doi.org/10.1109/iwor.2019.00014
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