software testing

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 enhancing investor confidence and capital market performance, particularly in the context of post-pandemic market dynamics characterized by economic uncertainty and stock price volatility. This study employs a quantitative approach to examine the causal relationship between independent and dependent variables in an objective, systematic, and measurable manner. The data used in this study are secondary data obtained from companies’ financial statements and other relevant officially published sources. The analytical method applied is panel data regression using EViews software, preceded by model selection tests and classical assumption tests to ensure the validity and reliability of the results. The findings indicate that, partially, independent commissioners and institutional ownership do not have a significant effect on stock returns. In contrast, the audit committee shows a significant effect, indicating that the effectiveness of the monitoring function is able to enhance investor confidence in the company.These findings suggest that not all corporate governance mechanisms have a direct impact on stock return movements in the capital market. Therefore, it can be concluded that the audit committee is a key factor influencing stock returns, while independent commissioners and institutional ownership have not demonstrated a significant effect. This study is expected to contribute to companies in improving governance effectiveness and to serve as a reference for investors in evaluating the quality of internal control. Furthermore, future research is recommended to extend the observation period, include additional financial control variables such as ROA, ROE, and dividend policy, and consider external factors such as macroeconomic conditions to obtain more comprehensive and generalizable results.

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.

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 liveness detection.

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.

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 deployable detector.

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.

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.

Development of a QSPR Model for Predicting Soil Sorption of Organic Contaminants Using Chemical Data from PaDEL-Descriptor Software

Natural-Language Workflows Are Not Software Yet: Artifact-Driven Compilation for Reliable Agent Execution

Artic is proposed, an artifact-driven workflow compiler that transforms a natural-language workflow into an artifact-driven workflow in which each step declares the artifacts it reads and writes, constraints gate produced artifacts, and explicit control transfers route execution.

Specification Portability Across LLM Development Agents: Cross-Agent Compatibility in Specification-Driven Software Migration

The results show that specification size alone does not predict implementation quality and that cross-agent transfer can produce substantial agent-dependent degradation, and suggest that specifications in heterogeneous SDD workflows should not automatically be treated as agent-neutral artifacts.

New Approaches to Fast Plate Composition, with a Software Implementation for Taxonomy

New approaches are proposed to simplify and formalize multi-panel figure composition, emphasizing rapid layout construction and experimentation while maintaining explicit control over publication parameters.

Proof of Concept of Large Language Models for Opioid Treatment Policy Surveillance: 97% Agreement With Subject Matter Experts.

LLMs could serve as a quality control check during opioid policy surveillance research, supplementing human review, and benefit from best practices and technical guidelines for LLM utilization.