SC Harvester Papers Database Interface

Formal Modeling and Strategy Synthesis for Resource Optimization in System of Systems

Nazakat Ali, Muhammad Naeem, Julieth Patricia Castellanos Ardila, S. Punnekkat. In: 2025 20th Annual System of Systems Engineering Conference (SoSE). 2025

Abstract: Systems of Systems (SoS) face challenges related to coordinated management of the various tasks performed by constituent systems (CS), resource allocation, and SoS-level decision-making to achieve optimal performance related to costs and energy consumption. Addressing these challenges requires rigorous modeling and verification methods that accurately represent CS, capturing their interactions and...

Enhancing System of Systems Orchestration with Artificial Intelligence

Terese Besker, Jakob Axelsson, Edgar Ramos, V. Tudor, T. Nordström. In: 2025 20th Annual System of Systems Engineering Conference (SoSE). 2025

Abstract: In many areas, independent and heterogeneous systems collaborate towards a common goal, and their assembly is referred to as a System of Systems (SoS). The mediating actors that orchestrate the SoS are frequently used to enhance collaboration. They support onboarding new constituent systems, monitoring and capability identification, goal transformation, workflow composition and execution, world mo...

GUIDANCE FOR ONLINE VS. IN-PERSON TRAINING FOR SOFTWARE PRACTITIONERS

Frances Paulisch, Matthias Backert. In: EDULEARN Proceedings. 2025

The EU AI Act, Stakeholder Needs, and Explainable AI: Aligning Regulatory Compliance in a Clinical Decision Support System

A. Hummel, Håkan Burden, Susanne Stenberg, J. Steghöfer, Niklas Kühl. In: ArXiv. 2025

Abstract: Explainable AI (XAI) is a promising route to comply with the EU AI Act, the first multinational AI regulation. XAI enhances transparency and human oversight of AI systems, especially''black-box`` models criticized as incomprehensible. Yet discourse about the AI Act's stakeholders and XAI remains disconnected: XAI increasingly prioritizes end users'needs, while the AI Act focuses on providers'and d...

Artificial Intelligence in Software Startups and Special Challenges in Least Developed Countries: A Case Study of Uganda

Chongomweru Halimu, Hawa Nyende, Rashidah Kasauli, J. Balikuddembe. In: 2025 IEEE/ACM Symposium on Software Engineering in the Global South (SEiGS). 2025

Abstract: Artificial Intelligence (AI) is gradually transforming the landscape and operations of software startups by enabling innovation, improving decision making, and automating their business processes. However, software startups in the least developed countries (LDCs) like Uganda face a number of challenges that have hindered their abilities to adopt AI in their processes, products and services. In thi...

Challenges of Conducting Research in Software Engineering: A case of graduate students in low resource contexts

Rashidah Kasauli, Hawa Nyende, Chongomweru Halimu, N. Kimbugwe. In: 2025 IEEE/ACM Symposium on Software Engineering in the Global South (SEiGS). 2025

Abstract: Software engineering in low-resourced countries is just gaining momentum. A considerable number of students enroll for the masters program at Makerere University in hope of achieving the successful promises that come with undertaking studies in software engineering. However, many find themselves not completing studies, especially during the research year. Based on interviews with 10 of the 24 stud...

Architectural tactics to achieve quality attributes of machine-learning-enabled systems: a systematic literature review

Vladislav Indykov, D. Strüber, Rebekka Wohlrab. In: J. Syst. Softw.. 2025

A Conceptual Model for Trustworthiness in Intelligent IoT Systems

Romina Spalazzese, Martina De Sanctis, Andreas Jacobsson, Fahed Alkhabbas, Paul Davidsson. In: 2025 IEEE/ACM 7th International Workshop on Software Engineering Research & Practices for the IoT (SERP4IoT). 2025

Abstract: A number of challenging aspects have to be considered, when the Internet of Things (IoT) and Artificial Intelligence (AI) are combined into intelligent IoT systems. A key aspect that demands high attention is trustworthiness. As part of the investigations we conduct in this area in collaboration with partner companies, the need of a holistic view for trustworthiness in Intelligent IoT systems has ...

UML Sequence Diagram Generation: A Multi-Model, Multi-Domain Evaluation

Chi Xiao, Daniel Ståhl, Jan Bosch. In: 2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP). 2025

Abstract: The automation of Unified Modeling Language (UML) sequence diagram generation has posed a persistent challenge in software engineering, with existing approaches relying heavily on manual processes. Recent advancements in natural language processing (NLP), particularly through large language models (LLMs), offer promising solutions for automating this task. This paper investigates the use of LLMs i...

Challenges in AI Projects for Machinery and Plant Engineering

Richard Nordsieck, J. Steghöfer, M. Bhandari. In: 2025 IEEE/ACM 4th International Conference on AI Engineering – Software Engineering for AI (CAIN). 2025

Abstract: In our AI projects with machinery and plant engineering customers, we encounter recurring challenges beyond data processing, such as data availability, integration, human involvement, operations, and business considerations. Addressing these challenges is crucial for progress in this domain, yet research support is lacking. We present these challenges, discuss our current solutions, and call on re...

A Reference Model for Empirically Comparing LLMs with Humans

Kurt Schneider, Farnaz Fotrousi, Rebekka Wohlrab. In: 2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS). 2025

Abstract: Large Language Models (LLM) have shown stunning abilities to carry out tasks that were previously conducted by humans. The future role of humans and the responsibilities assigned to non-human LLMs affect society fundamentally. In that context, LLMs have often been compared to humans. However, it is surprisingly difficult to make a fair empirical comparison between humans and LLMs. To address those...

Gaps in Software Testing Education: A Survey of Academic Courses in Sweden

Ayodele A. Barrett, Eduard Paul Enoiu, Wasif Afzal. In: 2025 IEEE/ACM 37th International Conference on Software Engineering Education and Training (CSEE&T). 2025

Abstract: A cross-sectional, questionnaire-based survey of software testing courses offered at Swedish universities was undertaken in the final quarter of 2023. With a return rate of 44%, the survey delved into the contents of these software testing courses to gain an understanding of how the courses differ in terms of depth and breadth of content. Information was also sought about administrative and course...

Exploring Assumptions about Sustainability: Towards a Constructive Framework for Action in Sustainable HCI

Minna Laurell Thorslund, O. Leifler. In: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 2025

Abstract: The global environmental crises continue to get worse, fast approaching various irreversible thresholds. While a vast array of approaches to solving sustainability problems are found under the umbrella of Sustainable HCI, their contributions are sometimes hard to compare. In this essay, we describe a set of assumptions that influence what is considered meaningful and important areas of sustainabil...

Single Nucleus Multiome Analysis Reveals Early Inflammatory Response to High-Fat Diet in Mouse Pancreatic Islets

Isabell Victoria Strandby Ernst, Lasse Lehtonen, S. Nilsson, F. Nielsen, Ann-Britt Marcher et al. In: bioRxiv. 2025

Abstract: In periods of sustained hyper-nutrition, pancreatic β-cells undergo functional compensation through transcriptional upregulation of gene programs driving insulin secretion. This adaptation is essential for maintaining systemic glucose homeostasis and metabolic health. Using single nuclei multiomics, we have mapped the early transcriptional compensation mechanisms in murine islets of Langerhans exp...

So much more than test cases - An industrial study on testing of software units and components

Torvald Mårtensson. In: J. Syst. Softw.. 2025