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software testing

2,517 papers

#software testing Open access Oct 2026

An Empirical Study and Benchmark of Kubernetes Misconfiguration Scanners

Kubernetes is a widely adopted container orchestration framework, yet misconfigurations remain a leading cause of cloud security incidents and a major challenge for practitioners. Automated security scanners are commonly used to detect such misconfigurations, but their effectiveness has not been systematically evaluate...

Haeun Eom, Bohyun Suk, Sungjae Hwang · 0 citations
#software testing Preprint Open access Oct 2026

CrossLangFuzzer: Differential Testing of Cross-Language JVM Compilers

Modern JVM software increasingly integrates multiple programming languages, such as Java, Kotlin, Groovy, and Scala, within a single application. Supporting such interoperability requires JVM compilers to perform cross-language compilation while reconciling subtle semantic differences across language boundaries. Errors...

Xiaotian Ma, Qiong Feng, Yi Tian et al. · 0 citations
#software testing Open access Oct 2026

Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code (Replicability Study)

Test case selection (TCS) techniques have been explored to support the operational evaluation of deep neural networks (DNNs) under limited testing budgets, where labeling cost is a primary concern and early model failure detection is a key objective. Although prior studies report promising results, existing empirical e...

Ali Asgari, Mitchell Olsthoorn, Annibale Panichella · 0 citations
#software testing Open access Oct 2026

CLIR: Liveness-Driven and Structure-Aware Fuzzing for the Cranelift Compiler

Modern compilers are complex software systems that must correctly translate high-level programming languages into machine code across multiple architectures. Cranelift, a fast and modern compiler backend originally developed for WebAssembly and recently adopted as an experimental backend for Rust, has gained increasing...

Shangtong Cao, 宋天磊, Qiuping Yi et al. · 0 citations
#software testing Dataset Open access Oct 2026

Tissue-informed regulatory prioritization of polycystic ovary syndrome loci: analysis code, derived results and figure source data

Journal-independent reproducibility archive for tissue-informed regulatory prioritization of polycystic ovary syndrome loci. This version contains the current versioned analysis code and frozen aggregate outputs, the complete 131,685-test Mendelian-randomization family (64,933 European and 66,752 all-ancestry rows) wit...

Ran Chen, Xiaohui Bi · 0 citations
#software testing Dataset Open access Oct 2026

Use of Gen AI in software testing-Experiment Data

This dataset contains the experimental results used in the study evaluating AI-generated test cases against human-written test cases. The dataset includes testing quality metrics, productivity metrics, user story evaluations, and survey responses collected from software quality assurance professionals.

Muhammad Aftab Ahmad Khan, Ali Afzal Malik · 0 citations
#software testing Open access Oct 2026

MuMuTestUp: Mutation-Based Multi-agent Test Case Update

Modern software systems evolve rapidly under continuous integration and deployment (CI/CD) practices, in which tests act as critical gatekeepers of software quality. However, when substantial code changes are introduced, existing test cases may become obsolete, leading to compilation failures, erroneous test behaviors,...

Dawei Tian, Jiakun Liu, Yun Peng et al. · 0 citations
#software testing Open access Oct 2026

Deep Learning and evidential reasoning for software vulnerability analysis

Security and privacy are increasingly becoming the primary risk for many of the world’s enterprises, businesses, and consumers, as cyber criminals continue to exploit security flaws and weaknesses in the systems and technology that underpin modern life. To meet this concern, we need new approaches to improving software...

Kaixi Yang · 0 citations
#software testing Open access Oct 2026

Observations and modelling of intensity timeseries for biomedical and astrophysical applications

Statistical benchmarking was successfully applied to quantify and resolve below-noise-floor observations of intensity timeseries in both biomedical and astrophysical contexts. Noise models, and fully synthetic camera images were generated from Randox biochip tests, using statistical Z-score analysis and Monte-Carlo mod...

C. J. Dillon · 0 citations
#software testing Open access Oct 2026

Innovative technological intervention to improve clinical outcomes and medication adherence in elderly patients

As the population ages, the proportion of elderly patients who live alone with chronic diseases, multi-morbidity and with a lack of family support is expanding. These patients may experience difficulty in adhering to prescribed medications. IT solutions are capable of providing assistance to elderly people who wish to...

Hala Al Obaidi · 0 citations
#software testing Open access Oct 2026

A novel bioactive peptide QUB-2022 from the skin secretion of Phyllomedusa bicolor

The antimicrobial peptide (AMP) is a type of small molecular peptides that are produced by the body against infection. They are commonly considered as a fundamental component of innate immunity and have been extensively discovered in the insects and other non-vertebrate organisms. Amphibian skin secretions are also kno...

Yiming Xu · 0 citations
#software testing Open access Oct 2026

Designing integrative big data analytical frameworks to accelerate precision oncology

This thesis outlines the design and development of CIRAFm (Cancer Integromics Research Application Framework). CIRAFm is a software framework for interactively analysing biomedical data within cancer research. It provides a no-code browser platform which allows translational researchers to conduct, record, share their...

Seedevi Senevirathne · 0 citations

From tech blogs

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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…

GPT-Lab Sep 17, 2026

Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering

AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.

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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