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software testing

3,351 papers

#software testing Preprint Aug 2026

DPIAgent: Divide, Protocol, Isolate for Agentic Reproduction Test Generation

DPIAgent is proposed, a structured agentic framework built on three principles, Divide, Protocol, Isolate (DPI), that mitigates compound-objective ambiguity and goal drift, and shows that architectural structure and backbone capability are complementary axes rather than substitutes, demonstrating DPI's generalizability...

Hao Liu, Steven Liu, Xin Zhang et al. · 0 citations
#software testing Preprint Aug 2026

SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?

SWE Refactor Bench is introduced, a benchmark comprising 20 whole-repository migrations, covering 4 kinds of technical debt, and SWE Refactor Bench is positioned as a rigorous testbed for developing coding agents for reliable whole-repository migrations.

De-Yao Hong, Yi-Zhe Chi, Wen-Yi Li et al. · 4 citations · ⚡2
#software testing Review Aug 2026

Neuro-Formal Verification: Agentic Language-Agnostic Formal Program Reasoning

Neuro-formal verification is introduced, which harnesses that automation for developers of mainstream programming languages and returns a Dafny proof of correctness or of a bug on 57% of the entries at 92% precision, and a CBMC counterexample for 63% of the buggy programs at 90% precision.

Shuvendu K. Lahiri · 0 citations
#software testing Preprint Aug 2026

SweepLSD: A One-Pass, O(width)-Memory Line Segment Detector with an Integer-Only Streaming Core and a Real-Time FPGA Realization

The first complete description of SweepLSD is given, a line segment detector that reads the image exactly once and emits each segment within a few rows of its last pixel passing the scan line, with the tightest frame-time distribution and the best per-segment direction accuracy of the four detectors.

Yoshiyasu Shimizu · 0 citations
#software testing Open access Aug 2026

The Intelligibility-Based Repeat-Recall Test: I. Bayesian-Guided Estimation of Multiple Speech Reception Thresholds.

The ezSRT test is capable of producing reliable SRT estimates in 6 min that are sensitive to different experimental conditions and listener groups and that result in different SiN performance levels when later tested in a fixed SNR configuration, and using the ezSRT test as part of the new i-RRT protocol to determine S...

Christopher Slugocki, Francis Kuk, Petri Korhonen et al. · 1 citation
#software testing Open access Aug 2026

Pengaruh Komisaris Independen, Komite Audit Dan Kepemilikan Institusional Terhadap Return Saham Pada Perusahaan Di Bursa Efek Indonesia Periode 2021-2024

This study aims to analyze the effect of independent commissioners, audit committees, and institutional ownership on stock returns of companies listed on the Indonesia Stock Exchange during the 2021–2024 period. The background of this research is based on the importance of implementing good corporate governance in enha...

Shafwan Hafizh, Yudiana, M. A. Masruri et al. · 0 citations
#software testing Open access Aug 2026

OA08.4. Spatial Transcriptomic Analysis of Non-Dysplastic Barrett's Esophagus From Patients Who Did and Did Not Progress to Advanced Disease

This study suggests early remodeling of the stromal microenvironment and possible differences in the immune makeup with increased myeloid numbers and activation in progressors in patients who progress.

Qurat Ul-Ain, P. Stougie, D. Wajon et al. · 0 citations
#software testing Open access Aug 2026

SISTEM PRESENSI DIGITAL BERBASIS WEB DENGAN VERIFIKASI SELFIE DAN LOKASI

The implementation results indicate that HadiRin can support a more measurable attendance process and improve attendance accountability through the combination of location verification and selfie capture and further development can focus on strengthening system security through location anti-spoofing mechanisms and liv...

M. Yaasin, M. Bustasmi, Wahyu Nugraha et al. · 0 citations
#software testing Review Open access Aug 2026

Cutting chart-review time and improving database accuracy in inflammatory bowel disease with human-in-the-loop large language models

An open-source, human-verified workflow using large language models can accelerate electronic health record abstraction while improving accuracy and supports broader adoption of transparent artificial intelligence methods in clinical research.

Carl Jannes Neuse, Malte Janssen, S. Ibing et al. · 0 citations
#software testing Open access Aug 2026

Towards stack buffer overflow detection in stripped binaries with context-augmented LLMs

This work introduces a static, decompiler-driven pipeline built on top of Ghidra that augments decompiled functions with binary-derived evidence including recovered stack regions, callgraph context, and p-code-derived features and presents the real-world evaluation as a diagnostic stress test rather than evidence of a...

Colin Smith, Nathan Keough, Jason Carter · 0 citations
#software testing Open access Aug 2026

ET-SDP: Enhancing Code Embeddings with Effort-Related and Test Coverage Metrics for Improved Software Defect Prediction

It is suggested that process-oriented metrics, particularly those related to code testing and development history, capture defect patterns more effectively per feature than static code structure metrics, offering practical guidance for software quality assurance.

Ioana-Gabriela Chelaru, G. Czibula, Zuzsanna Oneţ-Marian et al. · 0 citations
#software testing Open access Aug 2026

HGFE: A plug-and-play heterogeneous graph feature enhancement framework for software fault localization

The Heterogeneous Graph Feature Enhancer (HGFE) is proposed, an interface-preserving feature enhancement framework for downstream fault-localization models that consume feature matrices or feature vectors that consume feature matrices or feature vectors.

Wei Zheng, Ang Xu, Xin Fan et al. · 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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