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software testing

3,195 papers

#software testing Open access Sep 2026

Forsythia resource-garden genomic assessment code

Reproducible code for SNP-level allele representation, de-redundancy, targeted supplementation, and portfolio comparisons in Forsythia suspensa resource-garden collections. Version v1.1.0 includes the complete eleven-step analysis workflow, configuration, validation utilities, documentation, and synthetic test inputs....

Chen Liu · 0 citations
#software testing Open access Sep 2026

Reproducibility package for: A Cross-Silo Experimental Framework for Federated Voice Deepfake Detection: Heterogeneity, Poisoning, and Update-Cancellation Diagnostics

Data, code, results, and provenance package for the article “A Cross-Silo Experimental Framework for Federated Voice Deepfake Detection: Heterogeneity, Poisoning, and Update-Cancellation Diagnostics.” The package contains recovered original Linear-Frequency Cepstral Coefficient (LFCC)/WavLM notebooks, model checkpoints...

Ihor Serhiienko, Volodymyr O. Artemchuk · 0 citations
#software testing Open access Sep 2026

HFEI-R Africa: Annual Relative Hydro-Fiscal Exposure, 2000–2023

This software and computational reproducibility release supports the article “A continental framework linking hydro-climatic variability and fiscal exposure in Africa (2000–2023)”. The archive provides a fully offline, file-driven Python workflow for reconstructing the revised Hydro-Fiscal Exposure Index (HFEI-R) for A...

Rasoanaivo, Zo Rivomanana · 0 citations
#software testing Open access Sep 2026

DL-MRS: a module-level microglial response score for Alzheimer disease transcriptomics

Analysis code, module definitions and provenance, processed module-level inputs derived from public GEO datasets, fold assignments, preprocessing parameters, and fold-specific neural-network weights supporting the DL-MRS study. The package contains three ensembles: the primary eight-feature model, the common-gene eight...

Lei Ren, Wenhao Ouyang, Zijia Lai et al. · 0 citations
#software testing Open access Sep 2026

DL-MRS: a module-level microglial response score for Alzheimer disease transcriptomics

Analysis code, module definitions and provenance, processed module-level inputs derived from public GEO datasets, fold assignments, preprocessing parameters, and fold-specific neural-network weights supporting the DL-MRS study. The package contains three ensembles: the primary eight-feature model, the common-gene eight...

Lei Ren, Wenhao Ouyang, Zijia Lai et al. · 0 citations
#edge computing Open access Sep 2026

brunetch123/K2-Annotator: K2 Annotator v3.1.0

Release produced from an independent scientific and software review of v3.0.21 against the manuscripts the pipeline implements (Koelmel et al. 2022, Brunet et al. NYCSS manuscript + SI, Kwiecien et al. 2015). Finding IDs (S-* scientific, D-* design) refer to that review; every finding is pinned by a test in the new tes...

Christopher Brunet · 0 citations
#edge computing Dataset Open access Sep 2026

Laboratory dataset for a locally fabricated flat Coanda-effect screen: 52 clear-water runs and model capacity predictions

Laboratory dataset for a locally fabricated flat Coanda-effect screen Fifty-two clear-water runs on a flat Coanda-effect screen intake fabricated from locally available materials, with the measured capture compared against the predictions of the Coanda-effect screen analysis software distributed by the US Bureau of Rec...

Eduardo Carrión Coronel · 0 citations
#edge computing Open access Sep 2026

Daimon Interceptor

Based on the provided documentation, here is a comprehensive summary of the automated interceptor system's architecture, divided into its core subsystems and physical requirements. Core Functional Disciplines An automated short-range or counter-unmanned aerial system (C-UAS) interceptor is split into three foundational...

francis lee · 0 citations
#edge computing Open access Sep 2026

Daimon Interceptor

Based on the provided documentation, here is a comprehensive summary of the automated interceptor system's architecture, divided into its core subsystems and physical requirements. Core Functional Disciplines An automated short-range or counter-unmanned aerial system (C-UAS) interceptor is split into three foundational...

francis lee · 0 citations
#software testing Dataset Open access Sep 2026

Enhancing Near-Real-Time Amazon Forest Monitoring Using GeoAI: A Case Study on Selective Logging — companion reproducibility data

This record contains the companion data for the paper Enhancing Near-Real-Time Amazon Forest Monitoring Using GeoAI: A Case Study on Selective Logging. It is organised into seven categories: the pretraining corpus for the spatiotemporal masked-autoencoder foundation model; the labelled dataset the downstream model is t...

Evandro Taquary, Guilherme Mataveli, Sérgio Nogueira et al. · 0 citations
#software testing Open access Oct 2026

On the SHELX, PLATON and IUCr/checkCIF crystal structure validation platform.

With checkCIF the IUCr has created a unique platform for the validation and archiving of the result of a small-molecule crystal structure study. That information, supplied in CIF (crystallographic information file) format, should include not only the numerical results of that study but also much of the supporting exper...

A. L. Spek · 0 citations
#software testing Preprint Sep 2026

SoK: You Find What You Seek: Rethinking Oracles, Guidance, and Input Generation in Hardware Fuzzing

This SoK examines which lessons from software fuzzing carry over to hardware and where unique approaches are needed and suggests that mainstream adoption of hardware fuzzing will require reusable interfaces, target-specific verification assets, reproducible evaluations, and transparent reporting of cost and user effort...

Unknown authors · 0 citations

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

MIT News · Artificial Intelligence Oct 2, 2026

Documenting the tech worker movement

Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.

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