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software testing

2,577 papers

Junction Temperature Calculation for SiC Power Module in Traction Inverter Using Linear Frequency Modulation

In this article, we propose a rapid junction temperature (<inline-formula> <tex-math notation="LaTeX">$T_{\mathrm {j}}$ </tex-math></inline-formula>) calculation method for SiC power modules using third harmonic injection pulsewidth modulation (Thi-PWM) control, which is particularly useful for transient <inline-formul...

Zhan-Shan Zhu, Min Xu, Hui-Chao Zhao et al. · 0 citations
#generative ai Review Open access Oct 2026

Beyond the Hype: The Efficiency-Throughput Gap with GitHub Copilot

Investigating the real-world impact of GitHub Copilot on software engineering, this field study uncovers a critical disconnect between gains in individual developer efficiency and improvements in organizational throughput. Using a multi-method approach, we employed the Organizational Ohm’s Law framework and integrated...

Fei Liu, Todd Mckinnon · 0 citations
#large language models Open access Sep 2026

Building digital societies as ecosystems: how recognition and repeat relationships sustain cross-community work in open source

Abstract We measure cross-boundary collaboration in an open-source software (OSS) ecosystem by reconstructing the bipartite contributor–repository graph of 464 cybersecurity-focused projects and $11{,}372$ 11 , 372 contributor identities active over October 2001–May 2022, seeded from the curated Rawsec Cybersecurity In...

Lucia Gomez Tejeiro, thibaut chataing, Julian Jang-Jaccard et al. · 0 citations
#small language model Dataset Open access Sep 2026

ENLIST: preregistered replication package for small-language-model deployment decisions

Replication package for "Selection information is not free: a preregistered study of small-language-modeldeployment decisions" (submitted to Information and Software Technology). The study asks whether charging deployment-selection policies for the information they buy changes which policylooks best. In ten environment...

Hwang Seongyeon · 0 citations
#artificial intelligence Open access Sep 2026

Intention Coding: From Vibe Coding to the Executable Realization of Persistent Human Intent

Vibe coding has made a profound change in software creation visible: humans can increasingly express what they want in natural language while artificial intelligence systems generate, modify, test, and repair the code that realizes that intention. This paper argues that the deeper transition is not simply from manual c...

Rogério Figurelli · 0 citations
#large language models Dataset Open access Sep 2026

Malva

Malva Malva is an artifact for studying tool-mediated interaction failures in agentic GUI software. It contains a defect library built from 40 open-source applications, a task suite for reproducing representative failures, and MalvaGuard, a static checker that detects missing tool-interaction guards before agent execut...

Anonymous Author(s) · 0 citations
#machine learning Open access Sep 2026

Learning Nonlinear Finite Element Solution Operators Using Multilayer Perceptrons and Energy Minimization

Abstract. We develop and evaluate a method for learning solution operators to nonlinear problems governed by partial differential equations (PDEs). The approach is based on a finite element discretization and aims at representing the solution operator by a multilayer perceptron that takes problem data variables as inpu...

Mats G. Larson, Carl Lundholm, Anna Sofie Persson · 1 citation
#large language models Open access Sep 2026

MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair

Abstract Large Language Models (LLMs) have shown high capabilities in several software development-related tasks such as program repair, documentation, code refactoring, debugging, and testing. However, training these models requires massive amount of data and significant computational resources. Adapters are specializ...

Meghdad Dehghan, Jie JW Wu, Fatemeh H. Fard et al. · 1 citation
#software testing Open access Sep 2026

QuEST-Kit/QuEST: v4.3.0

Overview This release accelerates simulation of (especially) few-qubit Quregs, adds control and performance tuning utilities for MPI and GPU superusers, adds randomised Trotter simulation, and reduces the likelihood of QuEST symbols colliding with other software stacks. Optimisations QuEST's simulation of few-qubit Qur...

Tyson Jones, aniabrown, Jacob Wilkins et al. · 0 citations
#software testing Review Open access Sep 2026

Behavior plan and the intention–behavior gap in physical activity among adolescents and college students: a systematic review and meta-analysis

Objectives (1) To conduct a meta-analysis on the structure of the TPB extended model to examine the predictive effects of its components on physical activity participation among adolescents and college students; (2) To investigate the moderating effects of key research dimensions, including participant groups, cultural...

Yin Yao, Xiaodong Sun, Jing He et al. · 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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