research-article

Artificial Intelligence meets Software Engineering in Computing Education

Author:

Dimitris KallesAuthors Info & Claims

SETN '16: Proceedings of the 9th Hellenic Conference on Artificial Intelligence

Article No.: 36, Pages 1 - 5

https://doi.org/10.1145/2903220.2903223

Published: 18 May 2016 Publication History

Abstract

In this paper we report on the experience of using artificial intelligence systems as the basis of educating IT students in software engineering practices. These systems have been evolving over nearly a dozen years and the process has been generating a steady stream of graduates, at the undergraduate and postgraduate level, whose dissertations and projects demonstrate the strong interplay of artificial intelligence and software engineering. The AI domains where we have applied a software engineering approach for instruction are focused on decision tree lifecycle management and board game learning mechanisms. Quite as importantly, both approaches have also delivered working research tools.

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Cited By

Vierhauser MGroher IAntensteiner TSauerwein C(2024)Towards Integrating Emerging AI Applications in SE Education2024 36th International Conference on Software Engineering Education and Training (CSEE&T)10.1109/CSEET62301.2024.10663045(1-5)Online publication date: 29-Jul-2024
https://doi.org/10.1109/CSEET62301.2024.10663045
Dickey EBejarano AGarg C(2024)AI-Lab: A Framework for Introducing Generative Artificial Intelligence Tools in Computer Programming CoursesSN Computer Science10.1007/s42979-024-03074-y5:6Online publication date: 24-Jul-2024
https://dl.acm.org/doi/10.1007/s42979-024-03074-y
Mitropoulos KVasilopoulos GGiagtzoglou KKalles D(2022)An experimental comparison of single-agent and multi-agent learning-and-playing algorithms in a gaming ecosystemIntelligent Decision Technologies10.3233/IDT-21021216:2(431-439)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/IDT-210212
Show More Cited By

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SETN '16: Proceedings of the 9th Hellenic Conference on Artificial Intelligence

May 2016

249 pages

ISBN:9781450337342

DOI:10.1145/2903220

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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EETN: Hellenic Artificial Intelligence Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 May 2016

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SETN '16

SETN '16: 9th Hellenic Conference on Artificial Intelligence

May 18 - 20, 2016

Thessaloniki, Greece

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Cited By

Vierhauser MGroher IAntensteiner TSauerwein C(2024)Towards Integrating Emerging AI Applications in SE Education2024 36th International Conference on Software Engineering Education and Training (CSEE&T)10.1109/CSEET62301.2024.10663045(1-5)Online publication date: 29-Jul-2024
https://doi.org/10.1109/CSEET62301.2024.10663045
Dickey EBejarano AGarg C(2024)AI-Lab: A Framework for Introducing Generative Artificial Intelligence Tools in Computer Programming CoursesSN Computer Science10.1007/s42979-024-03074-y5:6Online publication date: 24-Jul-2024
https://dl.acm.org/doi/10.1007/s42979-024-03074-y
Mitropoulos KVasilopoulos GGiagtzoglou KKalles D(2022)An experimental comparison of single-agent and multi-agent learning-and-playing algorithms in a gaming ecosystemIntelligent Decision Technologies10.3233/IDT-21021216:2(431-439)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.3233/IDT-210212
Shafiq SMashkoor AMayr-Dorn CEgyed A(2021)A Literature Review of Using Machine Learning in Software Development Life Cycle StagesIEEE Access10.1109/ACCESS.2021.31197469(140896-140920)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3119746
Shehab MAbualigah LJarrah MAlomari ODaoud M(2020)Artificial intelligence in software engineering and inverse: reviewInternational Journal of Computer Integrated Manufacturing10.1080/0951192X.2020.1780320(1-16)Online publication date: 25-Jun-2020
https://doi.org/10.1080/0951192X.2020.1780320
Kalles DGiagtzoglou KMitropoulos KChbeir RManolopoulos YIlarri SPapadopoulos A(2019)Gaming Ecosystems for Education and ResearchProceedings of the 11th International Conference on Management of Digital EcoSystems10.1145/3297662.3365811(199-204)Online publication date: 12-Nov-2019
https://dl.acm.org/doi/10.1145/3297662.3365811
Giagtzoglou KKalles D(2018)A gaming ecosystem as a tool for research and education in Artificial IntelligenceProceedings of the 10th Hellenic Conference on Artificial Intelligence10.1145/3200947.3201057(1-2)Online publication date: 9-Jul-2018
https://dl.acm.org/doi/10.1145/3200947.3201057

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