A5012557146- Software Engineering Research
- Software Testing and Debugging Techniques
- Model-Driven Software Engineering Techniques
- Scientific Computing and Data Management
- Parallel Computing and Optimization Techniques
- Software Reliability and Analysis Research
- Occupational health in dentistry
- Musculoskeletal pain and rehabilitation
- Simulation and Modeling Applications
- Antibiotics Pharmacokinetics and Efficacy
- Photonic and Optical Devices
- Dialysis and Renal Disease Management
- Superconducting Materials and Applications
- Occupational Health and Safety in Workplaces
- Healthcare cost, quality, practices
- Antimicrobial Resistance in Staphylococcus
- Workplace Health and Well-being
- Gene expression and cancer classification
- Bacterial Identification and Susceptibility Testing
- Optimal Experimental Design Methods
- Chronic Kidney Disease and Diabetes
- Simulation Techniques and Applications
- Statistical Methods and Inference
- Evacuation and Crowd Dynamics
- Software System Performance and Reliability
Beihang University
2024
Jacobs Institute
2024
Peking University
2007-2015
University of Aberdeen
2011
Shantou University
2011
Shantou University Medical College
2011
University of Michigan
2009
Peking University First Hospital
2007
Chronic kidney disease (CKD) is a public health problem, while data from developing countries are limited. We sought to investigate the epidemiological features of damage in metropolis-residing Chinese adults (>40 years old), and determine associated factors CKD.Two thousand three hundred fifty-three residents one district Beijing were interviewed tested for albuminuria, reduced renal function, haematuria pyuria. The associations between demographic characteristics, characteristics...
Testing plays a pivotal role in ensuring software quality, yet conventional Search Based Software (SBST) methods often struggle with complex units, achieving suboptimal test coverage. Recent work using large language models (LLMs) for generation have focused on improving quality through optimizing the context and correcting errors model outputs, but use fixed prompting strategies that prompt to generate tests without additional guidance. As result LLM-generated testsuites still suffer from...
Journal Article Hierarchically penalized Cox regression with grouped variables Get access S. Wang, Wang Department of Biostatistics, University Michigan, Ann Arbor, Michigan 48109, U.S.A.sijiwang@umich.edubnan@umich.edu Search for other works by this author on: Oxford Academic Google Scholar B. Nan, Nan N. Zhu, Zhu Statistics, U.S.A.nfzhou@umich.edujizhu@umich.edu J. Biometrika, Volume 96, Issue 2, June 2009, Pages 307–322, https://doi.org/10.1093/biomet/asp016 Published: 01 2009 history...
BackgroundWork-related musculoskeletal disorders (WMSDs) represent a common occupational problem for healthcare workers throughout the world. However, few epidemiological studies have investigated effect of psychosocial factors on WMSDs among different Chinese groups.
Software updates, including bug repair and feature additions, are frequent in modern applications but they often leave test suites outdated, resulting undetected bugs increased chances of system failures. A recent study by Meta revealed that 14%-22% software failures stem from outdated tests fail to reflect changes the codebase. This highlights need keep sync with code ensure reliability. In this paper, we present UTFix, a novel approach for repairing unit when their corresponding focal...
ML-powered code generation aims to assist developers write in a more productive manner by intelligently generating blocks based on natural language prompts. Recently, large pretrained deep learning models have pushed the boundary of and achieved impressive performance. However, huge number model parameters poses significant challenge their adoption typical software development environment, where developer might use standard laptop or mid-size server develop code. Such cost resources terms...
Large Language Models (LLMs) are revolutionizing the field of code development by leveraging their deep understanding patterns, syntax, and semantics to assist developers in various tasks, from generation testing documentation. In this survey, accompanying our proposed lecture-style tutorial for KDD 2024, we explore multifaceted impact LLMs on development, delving into techniques generating a high-quality code, creating comprehensive test cases, automatically documentation, engaging an...
This paper reports a novel infrared (IR) focal plane array (FPA) by using SiN <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> /SiO xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> /SiN sandwich structure as the frames of bimaterial cantilever pixels, and which have sufficient supporting intensity to avoid fracture bending plane. The device was fabricated with bulk silicon process, where trench backfill technique employed form...
Code generation models are not robust to small perturbations, which often lead inconsistent and incorrect generations significantly degrade the performance of these models. Improving robustness code is crucial better user experience when deployed in real-world applications. However, existing efforts have addressed this issue for To fill gap, we propose CodeFort, a framework improve models, generalizing large variety perturbations enrich training data enabling various strategies, mixing...
<title>Abstract</title> Generation of boundary scenario is a common approach used to test and evaluate the autonomous system. It can generate amount number cases in regions that demonstrate critical transitions performance modes. However, getting sufficient within boundaries short time remains huge challenge for system under test. The choice sampling method has great influence on efficiency accuracy This paper proposed new black-box based adaptive Poisson disk search decision Firstly, idea...
ML-powered code generation aims to assist developers write in a more productive manner, by intelligently generating blocks based on natural language prompts. Recently, large pretrained deep learning models have substantially pushed the boundary of and achieved impressive performance. Despite their great power, huge number model parameters poses significant threat adapting them regular software development environment, where developer might use standard laptop or mid-size server develop her...
Background: To determine the prevalence of specific musculoskeletal disorders in coal miners, and associated occupational risk factors order to provide reliable epidemiologic data for targeted interventions.