Frontiers in Software Engineering Education

Name: Frontiers in Software Engineering Education | Second International Workshop, FISEE 2023, Villebrumier, France, January 23-25, 2023, Invited Papers
Brand: Springer
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Second International Workshop, FISEE 2023, Villebrumier, France, January 23-25, 2023, Invited Papers

Alfredo Capozucca Sophie Ebersold Jean-Michel Bruel Bertrand Meyer(Herausgeber*in)

Springer (Verlag)

Erschienen am 30. November 2023

XVI, 117 Seiten

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978-3-031-48639-5 (ISBN)

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Beschreibung

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Inhalt

Intro
Preface
Organization
Keynotes
SING: Greatly Expanding Software Engineering Education
Do Software Engineers Need to Know About Social Sciences and Humanities?
Contents
Specializations in Software Engineering Education
1 Background
1.1 Computer Science Education
1.2 The Origins of Software Engineering
1.3 Origins of Software Engineering Education
2 Modern Challenges in Software Engineering
2.1 The Internet Changes Everything
2.2 Mobile Applications Change Everything Again
2.3 The Internet of Things and "Smart" Devices Add to Complexity
2.4 Artificial Intelligence Changes Everything Yet Again
2.5 Changes in Software Engineering Processes and Tools
3 The Need for Specialization in Software Engineering Education
3.1 Specialization in Other Professions
3.2 Software Engineering Specialization
3.3 Possible Specialization Areas
4 Conclusion: Future Directions in Software Engineering Education
References
Co-design of Modern Technology Modules with Industry and Students as Partners
1 Introduction
2 Related Work
3 Our Approach
3.1 Access to Cloud Environments
3.2 Solution Design of the Private Cloud
3.3 Implementation Details of the Private Cloud
3.4 Iteration and Refinement
4 Cloud Computing Module
4.1 Assessment
5 Discussion
5.1 Student Experience and Evaluation
5.2 Industry Experience and Feedback
5.3 Academic Reflection
6 Conclusion and Future Work
References
Tribal Capstone Project Course
1 Introduction
2 High-Level View
3 Teaching Sequences
4 Further Considerations
5 Related Work
6 Conclusions
References
Analyzing Scrum Team Impediments Using NLP
1 Introduction
2 Background
2.1 Agile in the Classroom
2.2 AI and Software Engineering
3 Educational Context
3.1 Capstone Course
3.2 Process and Tooling
4 Classifying Scrum Impediments
4.1 Scrum Impediments Dataset
4.2 Scrum Impediments Categories
4.3 Findings
5 Automated Classification of Impediments with NLP
5.1 Overall Classification Process
5.2 Building a LLM
6 Validation by Subject Matter Experts
6.1 Subject Matter Expert 1
6.2 Subject Matter Expert 2
7 Conclusion and Future Work
References
Finding Behavioral Indicators from Contextualized Commits in Software Engineering Courses with Process Mining
1 Introduction
2 Related Work
2.1 Process Mining in Education
2.2 Process Mining in Software Engineering
2.3 Process Mining in Software Engineering Education
3 Empirical Study
3.1 Datasets Description
3.2 Pre-processing
3.3 Process Mining Analysis with BupaR
3.4 Results
4 Discussion
4.1 Interpretation
4.2 Limits
4.3 Script: G4S-Automation
5 Conclusion
A Description of the Datasets
References
Education to Agile: Fostering Team Awareness with Essence
1 Introduction
2 Literature Review
3 Extreme Development
3.1 Our Motivation
3.2 Fostering Extreme Development
4 The Role of Essence
4.1 Monitoring the Status of a Project
4.2 Retrospectives with Essence
4.3 Process Organization
5 Outcomes
6 Conclusions and Further Work
References
The Physical and Human Dimension of Communication in Distance Education
1 Introduction
2 Definitions and Theoretical Framework
2.1 Definitions
2.2 Collaborative Learning
3 The Proposed Approach
3.1 Overview
3.2 The Collaborative Distance Learning Meta-model
3.3 The Functional Architecture of the Learning Environment
4 Exploring Feasibility: Java Programming Lab Project
4.1 Instantiation of the Meta-model and the Functional Architecture
4.2 Results
5 Conclusion and Future Works
References
Is ChatGPT 3 Safe for Students?
1 Introduction
2 Experiment
3 Results
4 Limitations and Threats to Validity
5 Related Work
6 Conclusions and Future Work
References
Computing Education in the Age of AI-Based Assistants: Challenges and Opportunities
1 Introduction
2 Challenges and Opportunities
2.1 Usage
2.2 Know-How
2.3 Accountability
2.4 FOAI
3 Conclusion
References
Correction to: Frontiers in Software Engineering Education
Correction to: A. Capozucca et al. (Eds.): Frontiers in Software Engineering Education, LNCS 14387, https://doi.org/10.1007/978-3-031-48639-5
Computing Education in the Age of AI-Based Assistants: Challenges and Opportunities
1 Introduction
2 Challenges and Opportunities
2.1 Usage
2.2 Know-How
2.3 Accountability
2.4 FOAI
3 Conclusion
References
Correction to: Frontiers in Software Engineering Education
Correction to: A. Capozucca et al. (Eds.): Frontiers in Software Engineering Education, LNCS 14387, https://doi.org/10.1007/978-3-031-48639-5
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