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software testing

642 papers

#software testing Open access Sep 2026

Comparative Evaluation of Bone Ring versus Particulate Bone Graft using CBCT in Buccal Bone Augmentation with Simultaneous Implant Placement: A Randomised Controlled Trial

The Bone Ring Technique (BRT) is a newer viable option for restoring complex defects around dental implants with three-dimensional bone augmentation with significant height and width augmentation of buccal bone.

Priyadharshini Annamalai Senthur Pandian, Aniz Amanullah, Lakshmiganthan Mahalingam et al. · 0 citations
#software testing Open access Aug 2026

ChemAutoAgent: A Multi-Agent System for Evidence-Controlled Laboratory Instrument Driver Generation from Text-Based Manuals

ChemAutoAgent is presented, a multi-agent system that converts text-based instrument manuals into tested and reusable laboratory instrument drivers through a staged, evidence-traceable pipeline and demonstrates the feasibility of reusing published drivers in a multi-device workflow.

Cheda Wu, Shunnan Jiang, Zhaohong Zuo et al. · 0 citations
#software testing Open access Aug 2026

UNMANNED AIRCRAFT SYSTEMS IN CRITICAL INFRASTRUCTURE INSPECTION: A FIELD STUDY OF TELECOMMUNICATIONS BASE-STATION TOWERS

Telecommunications base-station towers support services that are indispensable to crisis communication, emergency response, public administration and economic continuity. Their dispersed location, height and lattice geometry make conventional close-access inspection hazardous, time-consuming and difficult to document consistently. This study evaluates the usefulness and limitations of uncrewed aircraft systems for inspecting steel lattice towers that form part of telecommunications critical infrastructure. A retrospective field study was conducted using records from inspections performed in 2022–2023 at 50 towers in three Polish provinces. More than 150 sorties were completed with a DJI Matrice 30T platform using optical zoom, thermal imaging, a laser rangefinder and georeferenced mission telemetry. Manual, column and spiral flight patterns were compared, while image sets were processed with photogrammetric software to support three-dimensional reconstruction and spatial localisation of defects. The observations show that uncrewed inspection is particularly effective for documenting coating damage, local corrosion, fastener deterioration, connection anomalies, snow or ice accretion and equipment requiring thermographic follow-up. Column flights generated the most detailed evidence but also the greatest processing burden; spiral flights were faster and better suited to screening and three-dimensional modelling. The study also identified important constraints: wind, battery endurance, vegetation, airspace restrictions, electromagnetic and navigation disturbances, and the need to protect sensitive infrastructure data. Uncrewed aircraft should therefore be treated as a risk-based screening and documentation tool integrated with engineering judgement and targeted close-contact or non-destructive testing, rather than as an unconditional replacement for statutory structural inspection.

Rafał Parczewski, Tomasz Balcerzak, S. Żurawski · 0 citations
#software testing Review Open access Aug 2026

The Influence of Green Procurement on Supply Chain Resilience in Nigeria Maritime University, South-South Region

A high initial investment in acquiring environmentally friendly products can discourage institutions from adopting them. This study explored the extent to which eco-friendly products contribute to supply chain resilience and operational performance at the Nigerian Maritime University. The study employed a quantitative survey method administering a sample of 303copies questionnaire to the staff of the organization using a stratified sampling technique. The hypotheses were tested and analyzed using a regression method with the aid of Minitab software. The regression analysis indicates eco-friendly products significantly relates to operational efficiency in Nigerian Maritime University, South-South Nigeria. The model regression indicates (R² = 99.20, B = 1.039, β = 0.0162, p = 0.000); indicating that the model is a good fit. The coefficient 1.0399 is highly significant (p < 0.001). This indicates a positive and strong effect, explaining that for every one-unit increase in eco-friendly products, the operational efficiency increases by approximately 1.039 units. The NOVA result confirms F = 4117.07, p < 0.001. The study concludes that the adoption of eco-friendly products plays a significant and positive role in enhancing organizational sustainability performance or resilience. Organizations should embed eco-friendly product selection into their procurement guidelines to promote sustainable operations. Management should invest in environmentally friendly technologies and capacity building initiatives to support the transition to sustainable practices.

Ikenna Christopher Ugwu · 0 citations
#software testing Open access Sep 2026

Comparison of Ultrasonographic and Radiographic Findings in Knee Osteoarthritis: A Cross-sectional Study

USG provides improved detection of osteophytes and offers additional information on soft-tissue and early structural changes in knee OA and serves as a valuable, accessible adjunct to conventional radiography for comprehensive evaluation and early diagnosis of knee OA.

R. Rajkumar, E. D. K. Naidu, Gowthaman Nambiraj et al. · 0 citations
#software testing Review Open access Oct 2026

3D models from geological maps: strengths and weaknesses from the Pasubio Massif (Southern Alps)

3D geological models provide digital representations of subsurface architecture and are increasingly applied in both academic research and industry. Their construction can follow implicit or explicit approaches, depending on data availability and final modelling applications. While 3D models based on subsurface data are traditionally employed in several fields of study, models derived from outcrop data are increasingly being developed. In this study, newly acquired geological mapping data from the Pasubio Massif (Southern Alps, northern Italy), covering an area of ~36 km² within the geographic extent of the CARG sheet 081 “Rovereto”, were used to develop and test an iterative explicit workflow for 3D geological modelling using Move software. The workflow is based on the construction of a structured grid of geological cross-sections, followed by the interpolation of stratigraphic horizons and fault surfaces through Ordinary Kriging. Field observations indicate that the lithostratigraphic units cropping out in the study area form a gently NW-dipping monoclinal structure, exhibit overall constant thicknesses and are affected by the Schio-Vicenza fault system. Model validation first involved a qualitative comparison between mapped geological boundaries and faults with those obtained from the intersection of the modelled surfaces with the topography (DEM), followed by thickness maps evaluation as an internal consistency check. Where inconsistencies emerged, cross-sections were refined and the model was iteratively updated until geological geometries and thickness trends became consistent with field-mapped evidence. A final quantitative assessment was then performed by analysing thickness deviations from mean unit thicknesses and by measuring the spatial overlap between mapped and model-interpolated geological boundaries and fault traces. Comparison between the preliminary and validated models, supported by thickness deviation statistics, indicates that most residual discrepancies are constrained within ±10–20% of expected thickness values. The results highlight the critical role of iterative validation in ensuring geologically robust 3D models, emphasising common sources of uncertainty in explicit geomodelling workflows. This study provides a methodological framework for producing reliable 3D geological models in data-poor regions, complementing the recently published ISPRA guidelines for the organisation and standardisation of model datasets and supporting future applications in academic research and regional or national geological surveys.

Niccolò Coccia, F. Carboni, M. Marini et al. · 0 citations
#software testing Open access Aug 2026

The predictability of clear aligner treatment in space opening for permanent maxillary lateral incisors: An observational retrospective cohort study.

The findings can help clinicians better understand the planning of space opening for PMLIs before clear aligner therapy commences and provide baseline information for future research.

Maurice J Meade, Yannii Pouferis, T. Weir · 0 citations
#software testing Preprint Aug 2026

A Reference System for Open Source Portable Low-Field MRI

An open-source reference system for portable low-field MRI designed to support replication, reproducibility, benchmarking, and quantitative comparison is presented, aiming to support cross-site comparability, reproducible research, and collaborative development of future portable low-field MRI technologies.

D. Schote, H. Herthum, Umberto Zanovello et al. · 0 citations
#software testing Open access Aug 2026

FIFT: Feature Importance-Guided Fairness Testing for machine learning software

Results indicate that global feature importance, used as an active search signal rather than a post-hoc diagnostic, improves both the effectiveness and the efficiency of individual fairness testing.

H. Mamman, Abdullateef Oluwagbemiga Balogun, Mustapha Maidawa et al. · 0 citations
#software testing Open access Aug 2026

Reverse Engineering of Chatbot Behaviour for Automated Testing

A reverse engineering technique is presented for extracting a behavioural model of a deployed chatbot through the automated exploration of its functionality via Large Language Models through the automated exploration of its functionality via Large Language Models.

Iván Sotillo del Horno, Alejandro del Pozzo, Esther Guerra et al. · 0 citations

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MIT News · Artificial Intelligence Aug 17, 2026

Q&A: Rethinking how innovation happens

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value — and why innovation resists simple formulas.

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