SC Harvester Papers Database Interface

Using Generative AI to Support Standardization Work – the Case of 3GPP

M. Staron, Jonathan Ström, Albin Karlsson, Wilhelm Meding. In: 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 2024

Abstract: Standardization processes build upon consensus between partners, which depends on their ability to identify points of disagreement and resolving them. Large standardization organizations, like the 3GPP or ISO, rely on leaders of work packages who can correctly, and efficiently, identify disagreements, discuss them and reach a consensus. This task, however, is effort-, labor-intensive and costly. I...

Using boundary objects and methodological island (BOMI) modeling in large-scale agile systems development

Jörg Holtmann, Jennifer Horkoff, Rebekka Wohlrab, V. Vu, Rashidah Kasauli et al. In: Software and Systems Modeling. 2024

Abstract: Large-scale systems development commonly faces the challenge of managing relevant knowledge between different organizational groups, particularly in increasingly agile contexts. Here, there is a conflict between coordination and group autonomy, and it is challenging to determine what necessary coordination information must be shared by what teams or groups, and what can be left to local team manag...

Increasing the Confidence in Security Assurance Cases using Game Theory

Antonia Welzel, Rebekka Wohlrab, Mazen Mohamad. In: Proceedings of the 19th International Conference on Availability, Reliability and Security. 2024

Abstract: Security assurance cases (SACs) consist of arguments that are supported by evidence to justify that a system is acceptably secure. However, they are a relatively static representation of the system’s security and therefore currently not effective at runtime which make them difficult to maintain and unable to support users during threats. The aim of this paper is to investigate how SACs can be adap...

EATXT: A textual concrete syntax for EAST-ADL

Weixing Zhang, Jörg Holtmann, Daniel Strüber, J. Steghöfer. In: ArXiv. 2024

Abstract: Blended modeling is an approach that enables users to interact with a model via multiple notations. In this context, there is a growing need for open-source industry-grade exemplars of languages with available language engineering artifacts, in particular, editors and notations for supporting the creation of models based on a single metamodel in different representations (e.g., textual, graphical,...

Exploring design considerations for multimodal learning analytics systems: an interview study

Hamza Ouhaichi, Vogel Bahtijar, Daniel Spikol. In: Frontiers in Education. 2024

Abstract: Multimodal Learning Analytics (MMLA) systems integrate diverse data to provide real-time insights into student learning, yet their design faces the challenge of limited established guidelines. This study investigates essential design considerations for MMLA systems during the research and development phase, aiming to enhance their effectiveness in educational settings. A qualitative approach emplo...

Evaluating the Role of Security Assurance Cases in Agile Medical Device Development

Max Fransson, Adam Andersson, Mazen Mohamad, J. Steghöfer. In: 2024 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 2024

Abstract: Cybersecurity issues in medical devices threaten patient safety and can cause harm if exploited. Standards and regulations therefore require vendors of such devices to provide an assessment of the cybersecurity risks as well as a description of their mitigation. Security assurance cases (SACs) capture these elements as a structured argument. Compiling an SAC requires taking domain-specific regulat...

Supporting Early Architectural Decision-Making through Tradeoff Analysis: A Study with Volvo Cars

Karl Öqvist, Jacob Messinger, Rebekka Wohlrab. In: Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering. 2024

Abstract: As automotive companies increasingly move operations to the cloud, they need to carefully make architectural decisions. Currently, architectural decisions are made ad-hoc and depend on the experience of the involved architects. Recent research has proposed the use of data-driven techniques that help humans to understand complex design spaces and make thought-through decisions. This paper presents ...

Test Case Selection in Continuous Regression Testing Using Machine Learning: An Industrial Case Study

Azeem Ahmad, Dimistris Rentas, Daniel Hasselqvist, Pontus Sandberg, Kristian Sandahl et al. In: 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). 2024

Abstract: Continuous integration and delivery (CI/CD) have transformed software development by reducing delivery time, improving product quality, and giving enterprises a competitive advantage. However, large-scale projects confront difficulties in giving fast feedback to developers due to large test suites, resulting in longer testing cycles and lower productivity. Traditional regression testing methods st...

Analytics in Glocal Classrooms: Integrating Multimodal Learning Analytics in a Smart Learning Environment

Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel, Zaibei Li. In: 2024 IEEE International Conference on Advanced Learning Technologies (ICALT). 2024

Abstract: In the dynamic landscape of digital education, the Glocal Classroom (GC) stands out as a multifaceted smart learning environment. The integration of Multimodal Learning Analytics (MMLA) comes as an intriguing proposition, promising insights into learning dynamics and enhancing educational outcomes. Encountering numerous interdependent considerations involved in the design and integration of MMLA s...

A SYSTEMATIC REVIEW OF MULTIMODAL LEARNING ANALYTICS DESIGN MODELS AND FRAMEWORKS

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

Abstract: Conventional and established models for designing and developing MMLA systems are scarce in literature. In this work, we identified and analysed existing MMLA models to understand their contributions to MMLA system design and development. We conducted a systematic review searching relevant databases for studies published within the last decade that explicitly propose model or frameworks in MMLA. W...

SMART ASSISTANTS FOR MULTIMODAL LEARNING ANALYTICS SYSTEMS IN SPOKEN LANGUAGE ACQUISITION: A SYSTEMATIC REVIEW

Yun-Bo Chow, Daniel Olsson, Hamza Ouhaichi. In: EDULEARN Proceedings. 2024

Continuous Compliance in the Automotive Industry

Tiziano Santilli, Patrizio Pelliccione, Rebekka Wohlrab, Ali Shahrokni. In: IEEE Software. 2024

Abstract: Although the need to comply with standards has been identified, the concept of continuous compliance has never been defined and characterized. We provide a precise definition of continuous compliance and discuss how compliance with standards can be ensured....

Systematizing modeler experience (MX) in model-driven engineering success stories

Reyhaneh Kalantari, Julian Oertel, Joeri Exelmans, Satrio Adi Rukmono, Vasco Amaral et al. In: Software and Systems Modeling. 2024

Abstract: Modeling is often associated with complex and heavy tooling, leading to a negative perception among practitioners. However, alternative paradigms, such as everything-as-code or low-code, are gaining acceptance due to their perceived ease of use. This paper explores the dichotomy between these perceptions through the lens of “modeler experience” (MX). MX includes factors such as user experience, mo...

A Road Less Travelled and Beyond: Towards a Roadmap for Integrating Sustainability into Computing Education

Ana Moreira, O. Leifler, Stefanie Betz, Ian Brooks, Rafael Capilla et al. In: ArXiv. 2024

Abstract: Education for sustainable development has evolved to include more constructive approaches and a better understanding of what is needed to align education with the cultural, societal, and pedagogical changes required to avoid the risks posed by an unsustainable society. This evolution aims to lead us toward viable, equitable, and sustainable futures. However, computing education, including software...

A Stochastic Network Calculus Model for TSCH Schedulers

Iliar Rabet, H. Fotouhi, Mário Alves, J. Champati, James Gross et al. In: 2024 IEEE Symposium on Computers and Communications (ISCC). 2024

Abstract: Low-power wireless Internet of Things (IoT) devices employ Time Slotted Channel Hopping (TSCH) Medium Access Control to achieve predictable timing behaviour. TSCH aims at collision-free scheduling by exploiting diversity over time (slots) and frequency (channels). However, existing works on performance and worst-case analysis are based on deterministic models, which lead to rather pessimistic non-...