SC Harvester Papers Database Interface

Guidelines for Supporting Software Engineers in Developing Secure Web Applications

Klara Svensson, Drake Axelrod, Mazen Mohamad, Rebekka Wohlrab. In: . 2024

Conceptual Design of Multimodal Learning Analytics for Spoken Language Acquisition

Hamza Ouhaichi, Daniel Spikol, Zaibei Li, Bahtijar Vogel. In: . 2024

Safety Argumentation for Machinery Assembly Control Software

Julieth Patricia Castellanos Ardila, S. Punnekkat, Hans A. Hansson, Peter Backeman. In: . 2024

Design Principles for Hybrid Decision Support Systems in IT Service Management

Lu Cao, Juho Lindman, Stefan Cronholm, Hannes Göbel. 2024

FeatRacer: Locating Features Through Assisted Traceability (Summary)

M. Mukelabai, Kevin Hermann, Thorsten Berger, J. Steghöfer. In: . 2024

Combining Requirements Engineering Techniques for the Analysis of a Legacy System

Jessica Friedline, J. Steghöfer. 2024

Preface: The Agile Requirements Engineering Workshop (AgileRE)

Fabiano Dalpiaz, J. Steghöfer. 2024

Automated Vulnerability Discovery and Attack Detection Framework for Cyber-Physical Systems

Fereidoun Moradi. 2024

Model Execution: From a Retrospective on Code Generation to a Perspective on Model Compilation

Federico Ciccozzi. In: . 2024

Guiding the Integration of Multimodal Learning Analytics in the Glocal Classroom: A Case Study Applying MAMDA

Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel. In: . 2024

Abstract: : This study explores the integration of Multimodal Learning Analytics (MMLA) within the dynamic learning ecosystem of the Glocal Classroom (GC). By employing the MMLA Model for Design and Analysis (MAMDA), our research proposes a conceptual model leveraging the GC's existing infrastructure into an MMLA system to enrich learning experiences and inform course design. Our methodology involves a case...

A framework for designing and analyzing multimodal learning analytics systems

Hamza Ouhaichi. 2024

Abstract: The integration of technology in education offers transformative potential, especially with the advent of data-driven approaches that can personalize learning, support educators, and provide valuable insights into the learning process. Multimodal learning analytics (MMLA) holds remarkable promise within this context. By capturing and analyzing data from multiple sources—including video, audio, and...

ALCEA: The Architecture Life-Cycle Effect Analysis Method

Jakob Axelsson, Damir Bilić, Daniel Brahneborg, Joakim Froberg, Henrik Gustavsson et al. In: IEEE Open Journal of Systems Engineering. 2024

Abstract: This article describes the architecture life cycle effect analysis (ALCEA) method, a structured method for evaluating proposed new architectures for software-intensive systems. The method evaluates a proposed architecture by quantifying its effect on the performance of system life-cycle phases. The method is instantiated by identifying the relevant life-cycle phases of the system under investigati...

Flexible Modelling: a Systematic Literature Review

R. Jongeling, Federico Ciccozzi. In: J. Object Technol.. 2024

Actors Upgraded for Variability, Adaptability, and Determinism

R. Khosravi, Ehsan Khamespanah, F. Ghassemi, M. Sirjani. In: . 2024

Learning Swedish with AI: Exploring Multimodal Learning Analytics in Spoken Language Acquisition

Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel. In: . 2024