Hussain / Abdul Basit Ur Rahim / Khan | Software Engineering of Emerging Technologies | Buch | 978-3-032-39765-2 | www.sack.de

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

Hussain / Abdul Basit Ur Rahim / Khan

Software Engineering of Emerging Technologies

Second International Conference on Software Engineering of Emerging Technologies, SEET 2026, Behrend, PA, USA, August 10–11, 2026, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-39765-2
Verlag: Springer

Second International Conference on Software Engineering of Emerging Technologies, SEET 2026, Behrend, PA, USA, August 10–11, 2026, Proceedings, Part II

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-39765-2
Verlag: Springer


This volume 3125 - 3126 constitutes the refereed proceedings of the Second International Conference on Software Engineering for Emerging Technologies, SEET 2026, held at Behrend, PA, USA during August 10–11, 2026.

The 60 papers included in this book were carefully reviewed and selected from 147 submissions. They were organized into the following topical sections: 

Part 1: Regular Research; Idea and Vision; Short Research Paper; Student Research Competition.

Part 2 : Student Research Competition; Ph.D Research.

Hussain / Abdul Basit Ur Rahim / Khan Software Engineering of Emerging Technologies jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- Student Research Competition.
.- Analytics Framework for Course Engagement and Evaluation.
.- Autonomous Multi-Agent Governance: AI Sentinel Framework for Mitigating Psychological Restraints in AI-Driven Fall Management.
.- Ph.D Research.
.- Lightweight Data Lineage Tracing for Cross-Function Leak Detection in Serverless Applications.
.- Epic-Organized vs. Requirement-Aligned Gherkin: An Empirical Evaluation of LLM-Based Acceptance Criteria Generation.
.- An Overview of Human Aspects in the Alignment of Requirements Engineering and Testing.
.- HyQ-Guard – AI-Driven Runtime Anomaly Monitoring and Mitigation for Hybrid Quantum Workflows.
.- Operationalising the EU AI Act in Software Engineering: A Systematic Mapping Study with a Focus on Healthcare.
.- Triangulating Prompt Engineering Effectiveness for Edge Case Detection: Integrating Expert Quality Review with Association Rule Mining in LLM-Driven Software Testing.
.- Supporting Reflection on Sustainable Software Design Decisions in Software Engineering Education: An Evaluation of a Socratic Chatbot.
.- Dynamic Trustworthiness of AI for Autonomous Driving: A Design Problem Definition.
.- Governing LLM-Based Adaptive Components in Safety-Critical Clinical Decision Support: A Constraint-Layer Extension of MAPE-K.
.- A Reproducible Multi-View Mammogram Classification Baseline Using Dual-View Fusion on VinDr-Mammo.



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