20 papers · ranked by Valyu relevance
Katerina Paltoglou, Vassilis E. Zafeiris
We propose a method that employs static and dynamic analysis for augmenting a test suite with automatically generated unit tests. The method is most suitable for test suites where the stratification of unit, integration and system tests does not conform to the recommended test pyramid structure: numerous unit tests…
Thomas Schulik, Viswanatha Reddy Batchu, Ramesh Kumar Dharmapuri, Saran Gundlapalli + 2 more
The automotive industry is currently undergoing a major transformation with respect to the Electric/Electronic (E/E) and software architecture, driven by a significant increase in the complexity of the technological stack within a vehicle. This complexity acts as a driving force for Software-Defined Vehicles (SDVs) [1]…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Vincent Allen, Danielle Lottridge, Karolina Stasiak, Andre Kushniruk
Background Rising global demand for mental health services strains traditional care models, a trend evident in New Zealand, where the Integrated Primary Mental Health and Addictions (IPMHA) model was introduced to improve access to care. While the IPMHA model shows promise, significant service-delivery challenges…
Lops, Andrea, Narducci, Fedelucio + 6 more
—Unit testing is an essential but resource-intensive step in software development, ensuring individual code units function correctly. This paper introduces AGONETEST, an automated evaluation framework for Large Language Modelgenerated (LLM) unit tests in Java. AGONETEST does not aim to propose a novel test generation…
Denesa Zyberaj, Pascal Hirmer, Marco Aiello, Stefan Wagner
The automotive domain is shifting to software-centric development to meet regulation, market pressure, and feature velocity. This shift increases embedded systems' complexity and strains testing capacity. Despite relevant standards, a coherent system-testing methodology that spans heterogeneous, legacy-constrained…
Shunmukha Sagar Puppala
Hybrid and multi cloud adoption has made enterprise integration a strategic architecture problem rather than a narrow middleware concern. Large organizations frequently operate SAP S4HANA, SAP ECC, SaaS business applications, partner portals, data lakes, and hyper scaler services across heterogeneous environments.…
Authors not listed
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…
Xiang Liu, Rui Zhang, Tao Zheng, Ran Liu + 6 more
Introduction West China Hospital of Sichuan University leads the largest regional medical alliance in Western China, coordinating complex referrals and continuity of care. However, variability in clinical practices and the absence of a unified digital infrastructure have limited standardized disease-specific management…
Arriel Benis, Akinwale Famotire, Brian Dixon, Parvati Naliyatthaliyazchayil + 1 more
Background The expanding use of multisource real-world electronic health record (EHR) and claims data offers major opportunities for research, drug discovery, and clinical decision support. While standards such as Logical Observation Identifiers Names and Codes (LOINC) can ensure semantic interoperability for…
Cleidson Cavalcante, Paulo Miranda Cavalcante Neto, Walter Guerra, André Rodrigues + 5 more
Objective: To describe the requirements for modeling the tele-ICU platform, its development, the process, software, and hardware technologies employed. We also present its performance based on a proof-of-concept in a remote intensive care unit environment. Methods: This multicenter, prospective implementation study was…
Authors not listed
Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
Baris Ardic, Quentin Le Dilavrec, Andy Zaidman
The integration of generative AI tools like ChatGPT into software engineering workflows opens up new opportunities to boost productivity in tasks such as unit test engineering. However, these AI-assisted workflows can also significantly alter the developer’s role, raising concerns about control, output quality, and…
Carolin Schwitalla, Luis Kuhn Cuellar, Matthias Hörtenhuber, Niklas Grote + 8 more
Research software is essential for modern data analysis but is often developed and maintained by a small number of researchers. When developers leave, software may become orphaned, limiting reuse and risking the loss of valuable domain knowledge and computational methods. While the FAIR Principles for Research Software…
Mostafa Mousa, Alberto Comoretto, Johannes T.B. Overvelde, Antonio E. Forte
Fluidic circuits have shown significant promise in enabling complex functionality in soft robots with a minimal number of input signals. However, implementing complex behaviors typically involves numerous specialized components, resulting in intricate and nonversatile circuits. To address this challenge, a…
Chang Ma, Linh T Trinh, Matt Bucci, Aviv Regev + 1 more
Laboratory discovery increasingly depends on computational workflows that connect experimental data to analysis, interpretation and follow-up hypotheses. Yet these workflows remain constrained by labor-intensive use of specialized software, visual inspection through graphical user interfaces, and integration of…
Leonard E. van Dyck, Katharina Dobs
Human visual cortex contains regions specialized for faces and bodies, yet we perceive people as a whole. Why does the brain appear to segregate faces and bodies, and how are they integrated to support person perception? Here, we test whether deep neural network models optimized for visual recognition develop…
Marcelo Vilas Boas, Gustavo Pinto, Edward Roberto Monteiro, Vinicius Fernandes Carida + 1 more
AI tools are enabling engineers to absorb roles previously distributed across cross-functional squads, yet there is little structured evidence on how to design or evaluate such a one-person squad in a regulated enterprise setting. Without that evidence, organizations adopting this model lack guidance on which design…
Diego Fernández, Julián García-Vinuesa, Diego Alvarez-Saravia, Michelle Soto-García + 8 more
Biomolecular dataset construction often requires coordinated retrieval from heterogeneous repositories, identifier mapping, cross-reference enrichment, source-specific parsing, and provenance recording. These operations are frequently implemented through project-specific scripts, making acquisition procedures difficult…
Femke Meijer, Paul Van der Nat, Dirk Vriens, Patrick Vermeulen + 1 more
Purpose Value-based health care proposes that hospitals implement condition-based units (CBUs) to enhance patient value and foster collaboration among professionals. Although CBUs are proposed as an alternative to traditional functional hospital structures, many hospitals insert them within their existing functional…