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software testing

3,351 papers

#software testing Review Jul 2026

Personalized Assessments from Personal Artifacts

A method called Personalized Probing Puzzles to evaluate students' understanding of their own code, and a pilot study shows that it can help identify potential gaps in students' understanding of their own code.

Yufan Zhang, Jaromir Savelka, S. Goldstein et al. · 0 citations
#software testing Open access Aug 2026

Knowledge Patterns and Comparative Use of Medicinal Plants and Biomedical Medicines Among Migrants in an Urban Setting

Analysis of patterns of knowledge and use of medicinal plants and biomedical medicines among migrants in an urban setting contributes to understanding how medicinal plant knowledge and therapeutic practices are maintained or transformed in urban migrant contexts.

Bruno Nascimento da Silva, Kaique Caetano Silva, Bruna Ferreira de Barros et al. · 0 citations
#software testing Open access Aug 2026

MEmilio: a high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics

MEmilio is a modular, high-performance framework for epidemic simulation that harmonizes the specification and execution of diverse dynamic epidemiological models within a unified and harmonized architecture, and aims to lower barriers to reuse and generalize models, enable principled comparisons of implicit assumption...

Julia Bicker, Carlotta Gerstein, David Kerkmann et al. · 0 citations
#software testing Open access Sep 2026

An Open-Source, Reconfigurable FlatSat Platform for CubeSat Verification: Design and Validation

Verification and validation (V&V) campaigns for satellites commonly rely on FlatSat platforms to access critical electrical and communication interfaces before final integration. For CubeSats, an ideal platform should be compact and minimize reliance on external instrumentation. Existing solutions often rely on externa...

J. C. E. Barcellos, C. Freitas, V. N. Kürschner et al. · 0 citations
#software testing Preprint Aug 2026

XREPOTEST: Benchmarking Multilingual Repository-Level Unit Test Generation for Large Language Models

XREPOTEST is introduced, a multilingual repository-level benchmark for unit test generation spanning five underexplored languages: Rust, Go, Julia, PHP, and Ruby, and Invocation Rate is proposed to assess whether generated tests meaningfully exercise the intended functionality.

L. Dung, Dong Cao Van, Nam Le Hai et al. · 1 citation
#software testing Preprint Aug 2026

Experimental Characterization of Additively Manufactured Metallic Alloys for Electric Propulsion Applications

This work explores the sputtering of additively manufactured (AM) materials for use in gridded ion source applications. The first part of the paper uses 316L stainless steel as an example to demonstrate that additively manufactured material does not exhibit adverse sputtering behavior, such as higher sputter yield, com...

J. Chamberlain, A. Shashurin · 0 citations
#software testing Preprint Aug 2026

Designing Core Layer in Campus Network Using Software-Defined Networking

This work attempts to design core layer in campus network employing best practices of network topology and routing protocol at the layer with a use case of core layer in a university campus network using software-defined networking (SDN) paradigm.

Iwan Setiawan, A. W. Nugraha, Sauqi Asrorul Zaza · 0 citations
#software testing Preprint Aug 2026

Why and When Neural Networks Improve Local Approximation in Optimization

It is shown that the contradiction in experience with neural surrogates in derivative-free optimisation dissolves once three factors are stated, and that these, rather than the fit accuracy a training curve reports, are what delimit when a learned local model pays.

Cheng Bian, Peng-Cheng Xie · 0 citations
#software testing Review Aug 2026

Model-Based Agentic Software Engineering

MAGE explains how externalized knowledge, bounded action, independent evaluation, and retained human authority can compose into a governed engineering environment, and proposes tests of when that environment turns commodity intelligence into durable engineering progress.

James C. Davis, Kelechi G. Kalu, Hui-Yun Peng et al. · 2 citations
#software testing Preprint Aug 2026

Designing Core Layer in Campus Network Using Software-Defined Networking

This work attempts to design core layer in campus network employing best practices of network topology and routing protocol at the layer with a use case of core layer in a university campus network using software-defined networking (SDN) paradigm.

Iwan Setiawan, A. W. Nugraha, Sauqi Asrorul Zaza · 0 citations
#software testing Preprint Aug 2026

CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact

This work presents CropCop, a closed-set recognition system spanning 120 operational plant-health classes and an evidence chain from corpus reconstruction to direct execution of the final quantised artifact that establishes strong leakage-controlled internal recognition and software-runtime fidelity.

Rana Muhammad Ahmed, Sabahat Abbas · 0 citations

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.

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