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software testing

3,069 papers

#data science Open access Oct 2026

Usability Challenges across AI-Assisted Infrastructure, Security, and Scientific Workflows

AI-assisted tooling is increasingly being integrated into infrastructure management, security operations, software engineering, and scientific computing environments. While discussion around AI adoption often emphasizes automation and productivity, expert users still need to understand what these systems are doing, dec...

Md Hasan Shahriar Simanto · 0 citations
#data science Open access Oct 2026

Agent-friendly Provenance Capture with con-duct

Agent-friendly Provenance Capture with con-duct Presenters Austin Macdonald , ORCID 0000-0002-8124-807X Cody C. Baker , ORCID 0000-0002-0829-4790 John A. Lee , ORCID 0000-0001-5884-4247 Yaroslav O. Halchenko , ORCID 0000-0003-3456-2493 All: Center for Open Neuroscience, Department of Psychological and Brain Sciences, D...

Austin Macdonald, Cody Baker, John Anthony Lee et al. · 0 citations
#data science Open access Oct 2026

PALYIM: A Modular, Open-Source Science Gateway for AI-Enabled Palynology Image Analysis

We introduce PALYIM (PALYnology IMage Analysis Platform), a web-based, intelligent, modular, and extensible platform under development for processing and visualizing Z-stack Whole Slide Image collections using published AI models for palynological analysis. Palynology refers to the study of pollen grains, spores, and o...

Sandeep Puthanveetil Satheesan, Luigi Marini, Shu Kong et al. · 0 citations
#data science Open access Oct 2026

Democratizing AI Responsibly Through Research Software: A Case Study in Suicide Prevention Research

The rapid democratization of AI and machine learning (ML) capabilities–the broadening of access beyond specialists through reduced computational and resource barriers–is reshaping scientific research [1]. In particular, low-code and no-code research software that allows users to incorporate AI/ML into their workflows h...

Jasmine Falk, Kara J. Emery · 0 citations

How Artificial Intelligence Is Reshaping the Work and Career Paths of Junior Software Developers in China and the United States

The widespread adoption of generative AI in software development can impact junior developers as AI tools can help with coding, testing, debugging, and documentation tasks. This paper will explore how AI influences the job, the necessary skills, and the career paths of junior software engineers, and why this can vary a...

Yuxiang Zou · 0 citations
#natural language process... Preprint Oct 2026

MuninAI: A Self-Hosted Agentic Framework for Independent Research Groups

Research groups that want a language model grounded in their own literature face a choice between hosted services that receive their unpublished work and self-hosted deployments that keep the data local but give the model no access to the corpus. Munin is an open-source framework for a self-hosted scientific assistant...

Markus Fischer, Jens Meiler, Matthias Elgeti · 0 citations
#machine learning Preprint Oct 2026

HiPredict: Predicting the missing HiRISE RED4 spectral channel with machine learning

The High Resolution Imaging Science Experiment (HiRISE) onboard the Mars Reconnaissance Orbiter (MRO) acquires imagery of Mars at 25--30 cm/pixel, supporting studies of martian geology, climate history, and landing-site characterization. Its 14-detector focal plane assembly includes several overlapping detectors that e...

A. Suphi, Ben Moseley, G. S. Collins et al. · 0 citations
#machine learning Preprint Oct 2026

Sample, Mix, or Verify? Allocating Test-Time Compute under Imperfect Verifiers

A common way to make language models and agents more accurate is to spend more compute at inference time: generate many candidate solutions and submit the one a verifier prefers. Success then requires that some candidate is correct and that the verifier picks it. The first grows predictably with the number of samples;...

Srinivasan Iyengar · 0 citations
#machine learning Open access Oct 2026

Beyond accuracy in crop classification: calibration, selective prediction, and robustness

Introduction: Near-perfect crop-label accuracy can conceal uncertainty, perturbation sensitivity, and weak explanations. This study evaluates these reliability dimensions without treating benchmark classification as an agronomic recommendation. Materials and methods: Ten classifiers were evaluated using five matched st...

Kwan Hong TAN · 0 citations
#artificial intelligence Review Open access Jan 2021

Data Quality, Feature Engineering, and Model Reliability in Large-Scale AI Multi-Agentic Systems

Large-scale artificial intelligence (AI) systems increasingly operate not as a single monolithic model but as a population of interacting, specialized agents separate models or decision-making components responsible for functions such as pricing, fraud detection, ranking, routing, and customer support that share underl...

Harsh Verma · 0 citations
#software testing Open access Oct 2026

Best Website Designing Company in Preet Vihar – Create a Powerful Online Presence

In today’s competitive digital world, having a professional website is essential for every business. If you are searching for the Best Website Designing Company in Preet Vihar, choosing the right web design partner can help you establish a strong online presence, attract potential customers, and showcase your products...

Seema Nishad · 0 citations
#software testing Open access Oct 2026

Simulating the Monitoring of Robotic Systems Under Tele-Test

Abstract The monitoring of large robots and robot ensembles under test suffers from the effect that programming bugs may cause unforeseen and hazardous actions of the robots, so that human operators inspecting the scene may be endangered. To prevent injuries, a tele-operated test of the robot system under test (R-SUT)...

Adrian Scholze, Alexander Kassuba, Verena Well et al. · 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.

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.

GPT-Lab Sep 23, 2026

Requirements Don’t Live in Isolation: What We’re Exploring with Req-Space

Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…

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