25 papers · ranked by Valyu relevance
Authors not listed
Automated unit test generation using large language models (LLMs) holds great promise but often struggles with generating tests that are both correct and maintainable in real-world projects. This paper presents KTester, a novel framework that integrates project-specific knowledge and testing domain knowledge to enhance…
Pedro Luís Fonseca, Bruno Lima, João Pascoal Faria
—Mobile acceptance testing remains a bottleneck in modern software development, particularly for cross-platform mobile development using frameworks like Flutter. While developers increasingly rely on automated testing tools, creating and maintaining acceptance test artifacts still demands significant manual effort. To…
Ana Catarina Ribeiro
Invariant-Driven Automated Testing Copyright © Ana Catarina Malhado Ribeiro, Faculty of Sciences and Technology, NOVA University of Lisbon. The Faculty of Sciences and Technology and the NOVA University of Lisbon have the right, perpetual and without geographical boundaries, to file and publish this dissertation…
Jordan Doyle, Thomas Laurent, Anthony Ventresque
Android automated test input generation has been a highly researched topic for over a decade and has shown promising results with a variety of approaches. Random input generation is commonly used and the easiest to maintain, but ultimately inefficient. Systematic and search-based approaches produce effective tests but…
Bolatbek Abdrasilov, Talgat Niyazov, Lyazzat Shinetova, Shugyla Altybayeva + 2 more
This study examines the use of artificial intelligence for Automatic Item Generation (AIG) in the context of Kazakhstan's Unified National Testing (UNT) and presents a human-in-the-loop platform for scalable, expert-controlled test development. The objective is to evaluate whether large language models (LLMs) can…
María Belén Rodríguez, Petra van den Bos
This paper combines methods from the fields of Model-Based Testing (MBT) and Behaviour-Driven Development (BDD) to define a testing approach with human-readable specifications and test cases, as in BDD, while using the modelling techniques and automatic test generation algorithms from MBT. We introduce PICKLES, a…
Vishal Bharti, Debojyoti Chakraborty
Reproducible computational biology depends on statistical decisions that routine workflows often skip: verifying that a differential-expression test’s assumptions hold across all genes, that a strategy-comparison ANOVA is robust to non-normality, or that a meta-analysis is not distorted by publication bias. Surveys…
Dimple Bajaj, Deepak Khetan
Artificial Intelligence (AI) and Large Language Models (LLMs) are increasingly used in autonomous software testing; however, AI-generated test artifacts often suffer from hallucinations, compliance violations, security risks, and limited explainability. To enhance the reliability, transparency, and trustworthiness of…
Authors not listed
Bridging AI and self-driving laboratories, we introduce the first fully-automated, closed-loop molecular discovery cycle, exemplified by the identification of novel JAK inhibitors. With minimal human intervention, we combined AI-driven molecular design and retrosynthesis with IBM’s synthesis automation system RoboRXN…
Jordan Doyle, Thomas Laurent, Anthony Ventresque
Mobile application development is a fast paced industry with frequent releases. While the development pace increases, so too does the need for automated test generation. Model-based test generation is one of the most common and successful approaches to support this need. Understanding and modelling the application…
Authors not listed
Solubility is the maximum amount of solutes that can dissolve in a certain amount of solvent at a certain temperature, and it is significant in battery electrolyte research since it confines the design space. Thus, solubility measurement is a critical constraint on running self-driving labs for battery electrolyte…
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.…
Francesca Scala, Brandon Schumitsch-Jewell, Diane Podzorski, Hannah Gander + 2 more
Candida auris is an emerging multidrug-resistant fungal pathogen associated with healthcare-associated outbreaks, persistent colonization, and invasive infections. Increasing demand for surveillance has created a need for high-throughput methods capable of supporting large-scale screening programs. We developed and…
Qiuxia Yan, Chen Zeng, Guozhi Zhang, Jing Qiao + 11 more
Background In assisted reproductive technology (ART) laboratories, semen processing is traditionally performed using manual density gradient centrifugation (DGC), which is labor intensive, time consuming, and subject to inter-technician variability. This study aimed to evaluate the effectiveness and repeatability of an…
Almunthir Altobi, Danhui Heo
High-content imaging produces thousands of morphological measurements per cell. Interpreting these measurements requires normalization to remove plate effects, statistical tests selected on the basis of data distribution, and control over false discoveries across many features tested at once. MorphoStat is an…
Eli Wilber, Marcos C Schechter, Paulina A Rebolledo, Sheetal Kandiah + 3 more
Fully automated interferon gamma release assays based on chemiluminescence immunoassay promise more efficient testing for tuberculosis infection but increase rates of positive test results when compared with semiautomated assays. We report an increase in borderline-positive interferon gamma release assay results (87.8%…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Vikas Mishra, Rajkumar Verma, Paruvathanahalli Siddalingam Rajinikanth, Ravinder K. Kaundal
Quantitative analysis of rodent behaviour is fundamental to neuroscience, preclinical drug discovery and neurotoxicology research. Although several commercial and open-source software packages are available for behavioural assessment, some are expensive, some require programming expertise, and some provide limited…
Fatima A. Aldarweesh, Rim Abdallah, Ingrid Perez Alvarez, Jennifer Andrews + 14 more
1## INTRODUCTION Antibodies against the D-antigen can cause a severe form of Hemolytic Disease of the Fetus and Newborn (HDFN), leading to potentially severe complications such as hyperbilirubinemia, kernicterus, and erythroblastosis fetalis. HDFN affects neonates worldwide, and despite advances in prophylaxis and…
Authors not listed
The gas-phase hydrogen abstraction reaction kinetics of atmospheric volatile or- ganic compounds (VOCs) have been investigated using multiconformer transition state theory (MC-TST) as part of the development of the Jammy Key for Transition States (JKTS), an automated tool developed to address the vast number of organic…
Long Hao, Zhipeng Xu, Bin Zhou, Gaoming Zhang + 1 more
Vehicle axle load scales are one of the most important devices for vehicle safety testing. To ensure the stability and reliability of test results, regular calibration of axle load scales is necessary. Traditional calibration methods are inefficient and error-prone. In this work, an automatic calibration device for…
Hella A. Bolck, Janik Vollenweider, Fabian Merkli, Alexander Barden + 10 more
The development of autonomous aerial robots capable of safely navigating complex real-world environments without or with little human intervention represents a major milestone in robotics and artificial intelligence (AI). While rapid advances in AI-enabled decision-making, sensing, and control systems are unlocking new…
Moustafa Kardjadj, Laurent Bélec
Point-of-care (POC) infectious disease diagnostics are reshaping global health by delivering rapid, decentralized, and clinically actionable results that link bedside testing to population-level surveillance. Valued at approximately USD 53 billion in 2024 and projected to nearly double by 2033, the global POC…
Lauren C. Cybulska, Sarah A. Hamer, Chloe Teasdale, Glen Johnson + 2 more
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the virus that causes coronavirus disease-2019 (COVID-19) in humans, is also known to infect animals including dogs (Canis lupus familiaris) and cats (Felis catus). This study evaluated the efficacy of human COVID-19 rapid antigen and antibody tests in dogs…
Authors not listed
During early-stage biotherapeutic development, analytical methods play an important role in candidate screening, process development, formulation screening and stability determination. However, developing sensitive and robust analytical methods is challenging in the early stages as there is often insufficient product…