SC Harvester Papers Database Interface

Interview with Frank van Harmelen on the Future of Generative AI and the Role of Conceptual Modeling

Hans-Georg Fill, J. Horkoff, Peter Fettke, Julius Köpke. In: Bus. Inf. Syst. Eng.. 2026

Deriving and Validating Requirements Engineering Principles for Large-Scale Agile Development: An Industrial Longitudinal Study

Hina Saeeda, Mijin Kim, Eric Knauss, Jesper Thyssen, Jesper Orting et al. 2026

Abstract: In large scale agile systems development, the lack of a unified requirements engineering (RE) process is a major challenge, exacerbated by the absence of high level guiding principles for effective requirements management. To address this challenge, we conducted a five year longitudinal case study with Grundfos AB, in collaboration with the Software Centre in Sweden. RE principles were first deriv...

Empowering Software Engineers to Design More Secure Web Applications: Guidelines and Potential of Using LLMs as a Recommender Tool

Raffaela Groner, Klara Svensson, Drake Axelrod, Ranim Khojah, Mazen Mohamad et al. In: Journal of Software: Evolution and Process. 2026

Abstract: As software applications get increasingly connected and complex, cybersecurity becomes more and more important to consider during development and evaluation. Software engineers need to be aware of various security threats and the countermeasures that can be taken to mitigate them. Currently, there is a lack of guidance for software engineers aiming to develop secure web applications. We conducted ...

Folklore in Software Engineering: A Definition and Conceptual Foundations

Eduard Paul Enoiu, Jean Malm, Gregory Gay. In: ArXiv. 2026

Abstract: We explore the concept of folklore within software engineering, drawing from folklore studies to define and characterize narratives, myths, rituals, humor, and informal knowledge that circulate within software development communities. Using a literature review and thematic analysis, we curated exemplar folklore items (e.g., beliefs about where defects occur, the 10x developer legend, and technical...

An Abstraction Is Worth a Thousand Vibes

J. Steghöfer, Markus Borg, Markus Borg. In: IEEE Software. 2026

Abstract: In the last column, we promised to return to one of the inevitable challenges that vibe coding leaves us with. At the AI Engineer World’s Fair 2025, OpenAI’s Sean Grove claimed that whoever writes the specification is now the programmer since AI can take it from there. Sounds amazing, but what gets lost along the way? To explore this, I’m joined by Jan-Philipp Steghöfer, a researcher at XITASO and...

Identifying Incentives for More Systematic Modeling of Industrial Software-Intensive Systems

Ifrah Qaisar, Jan Carlson, R. Jongeling, Antonio Cicchetti, Malvina Latifaj et al. In: Proceedings of the 14th International Conference on Model-Based Software and Systems Engineering. 2026

Incremental Formalization for Informal Architectural Diagramming

Malvina Latifaj, Jan Carlson, Antonio Cicchetti, R. Jongeling, Ifrah Qaisar. In: Proceedings of the 14th International Conference on Model-Based Software and Systems Engineering. 2026

Disambiguating Software Property Descriptions: A Solution Proposal and Evaluation

Efi Papatheocharous, Séverine Sentilles, K. Petersen, Federico Ciccozzi. In: e Informatica Softw. Eng. J.. 2026

Abstract: Context: The state-of-the-art and practice on software quality is growing constantly and presents several challenges. The ever-growing body of knowledge on the topic, obfuscates the situation further, the lack of explicit structure makes it difficult to identify which properties exist today and how they can be evaluated, two critical aspects to increase software quality. Objective: A step to disam...

RESTifAI: LLM-Based Workflow for Reusable REST API Testing

Leon Kogler, Maximilian Ehrhart, Benedikt Dornauer, Eduard Paul Enoiu. In: ArXiv. 2025

Abstract: With this paper, we introduce RESTifAI, an LLM-driven approach for generating reusable, CI/CD ready REST API tests, following the happy-path approach. Unlike existing tools that often focus primarily on internal server errors, RESTifAI systematically constructs valid test scenarios (happy paths) and derives negative cases to verify both intended functionality (2xx responses) and robustness against...

Generative AI in Simulation-Based Test Environments for Large-Scale Cyber-Physical Systems: An Industrial Study

Masoud Sadrnezhaad, Jos'e Antonio Hern'andez L'opez, Torvald Mårtensson, Dániel Varró. In: . 2025

Abstract: Quality assurance for large-scale cyber-physical systems relies on sophisticated test activities using complex test environments investigated with the help of numerous types of simulators. As these systems grow, extensive resources are required to develop and maintain simulation models of hardware and software components, as well as physical environments. Meanwhile, recent advances in generative A...

Towards a Framework for Assessing the Intelligence Level of IoT Systems

Umair Khadam, Paul Davidsson, Romina Spalazzese. In: 2025 IEEE Annual Congress on Artificial Intelligence of Things (AIoT). 2025

Abstract: While the integration of Artificial Intelligence (AI) and Internet of Things (IoT) is rapidly increasing, there is no general framework for assessing the intelligence level of AI-enabled IoT systems. However, assessing the intelligence level of Artificial Intelligence of Things (AIoT) systems, e.g., their ability to make predictions, take autonomous decisions or to provide decision support, is cru...

Dynamic characterization of barycentric optimal transport problems and their martingale relaxation

Ivan Guo, S. Nilsson, Johannes Wiesel. 2025

Abstract: We extend the Benamou-Brenier formula from classical optimal transport to weak optimal transport and show that the barycentric optimal transport problem studied by Gozlan and Juillet has a dynamic analogue. We also investigate a martingale relaxation of this problem, and relate it to the martingale Benamou-Brenier formula of Backhoff-Veraguas, Beiglb\"ock, Huesmann and K\"allblad....

Modelling and Model-Checking a ROS2 Multi-Robot System using Timed Rebeca

H. Trinh, Marjan Sirjani, Federico Ciccozzi, A. Masud, Mikael Sjödin. In: ArXiv. 2025

Abstract: Model-based development enables quicker prototyping, earlier experimentation and validation of design intents. For a multi-agent system with complex asynchronous interactions and concurrency, formal verification, model-checking in particular, offers an automated mechanism for verifying desired properties. Timed Rebeca is an actor-based modelling language supporting reactive, concurrent and time se...

M, Toolchain and Language for Reusable Model Compilation

H. Trinh, Federico Ciccozzi, A. Masud, Marjan Sirjani, Mikael Sjödin. In: ArXiv. 2025

Abstract: Complex software-driven systems often interleave distributed, concurrent computation processes with physical interactions with the environment. Developing these systems more efficiently and safely can be achieved by employing actionable, software-based models. From a high-level system model, engineers often need to derive multiple specialized models for different purposes, including simulation, de...

Trustworthy Conflict Resolution in Human-Robot Interactions: Effects of Automation and Explainability

A. Welzel, Rebekka Wohlrab, M. Obaid. In: Proceedings of the 13th International Conference on Human-Agent Interaction. 2025

Abstract: TRUST in human-robot interactions (HRI) is essential for effective collaboration and user acceptance of robotic systems. However, trust can be challenged by conflicting goals between the user and the system, such as in the context of proxemics when a robot invades a human’s personal space. As robotic systems increasingly adapt their actions autonomously, intelligent conflict resolution is necessar...