software testing

Coordination abilities and movement organization during the fencing lunge in youth foil fencers: an exploratory biomechanical study

Background Coordination abilities are considered fundamental determinants of motor performance and long-term athlete development, yet their relationship with the biomechanical characteristics of fencing performance remains poorly understood. Understanding these relationships may provide valuable insights for evidence-b...

Research on AI-Empowered Software Test Case Generation

This work leverages large language models to analyze and extract test cases from requirement documents, and constructs an automated test case generation framework by specifying standard input and output values of test samples, test coverage scope, and AI agent roles.

Pengaruh Kemudahan dan Kepercayaan terhadap Keputusan Pembelian Melalui Shopee PayLater pada Masyarakat Kecamatan Danau Sipin Kota Jambi

This study aims to analyze the effect of ease of use and trust on purchasing decisions through Shopee PayLater among the people of Danau Sipin District, Jambi City. This research employs a quantitative approach with an associative method. A sample of 100 respondents was selected using a purposive sampling technique bas...

Evaluating the Health of Open-Source Smart City Platforms

Different open-source SCPs are evaluated using the concept of "OSS health", covering several of the aforementioned characteristics, including an active (aka"healthy") ecosystem, an active (aka"healthy") ecosystem, the availability of installation and user manuals, non-vulnerable and documented code, test batteries, and...

The Illusion of Local Privacy: Confidentiality Boundary Failures in Consumer LLM Serving Systems

It is argued that local LLM systems need explicit guarantees for prompt lifetime, persistent storage, and tenant isolation, because the surrounding serving software handles prompt data before, during, and after inference.

Relationally Guided Use Case Modeling with LLMs

The proposed FlowGen uses LLM-based Semantic Information Processing (SIP) to extract semantic elements, constructs a Semantic Relational Graph (SRG) encoded by an enhanced R-GAT for basic flow generation (BFGen), and further supports branch point prediction through BPP and branch-conditioned alternative flow generation...

Real-time detection of cryptographic key misuse in software-defined networks using incremental learning

An incremental learning based framework to detect anomalous traffic patterns which may indicate any key misuse in Software-Defined Networks in dynamic and real-time environments in modern SDN environments is proposed.

Unlocking chemistry behind the metal arc welding-based parametric optimization to enhance the weld efficiency and tensile strength in AISI 1006 steel by using the spice logic analytical hierarchy-based multi criteria decision-making approach

Abstract Metal gas arc welding (GMAW) is a widely used welding process known for its efficiency and versatility in joining metals. The quality and efficiency of GMAW depends on the selection and optimization of process parameters. This research aims to select suitable process parameters for welding AISI 1006 steel by m...

Software Internationalization in Environmental Modelling and Simulation in the Oil and Gas Industry

StemCells Protocol Simulator v1.1.0 (Success-Rate Optimizer paper)

The StemCells Protocol Simulator is a privacy-preserving, in-browser tool for epigenetic-age estimation and transparent regenerative-therapy planning. This version accompanies the second software paper, "The Success-Rate Optimizer," which validates the optimizer by directional/construct concordance with the published c...

CU Orlicz numerics

Numerical experiments accompanying “Orlicz space relaxation of totalvariation denoising” by Christian Clason and Tobias Unterberger. The software compares ROF/total variation regularization, scaledlogarithmic Orlicz regularization, and quadratic H1 regularization.The archive includes the Python implementation, Jupyter...

HealthGraphBench: Benchmarking Incremental Graph Value in Public Health Regulatory ML

HealthGraphBench v0.2.0 is a reproducible benchmark for evaluating whether relational informationand learned graph representations provide predictive value beyond strong entity-local and simplerelational baselines in public health and regulatory machine learning. The frozen v0.1.2 core contains FDA MAUDE product/proble...