Search
Search Results
-
Preliminary Study: Exploring GitHub Repository Metrics
GitHub is the largest platform for code storage and development and is currently the source of data on software projects. It is important to... -
GitHub Users Recommendations Based on Repositories and User Profile
A recommendation system is important in today’s world because it suggests many options to the user that may be useful or appealing. These kinds of... -
Analyzing the Growth Patterns of GitHub Projects to Construct Best Practices for Project Managements
The Git platforms, such as GitHub, are big data providers that store various development histories. Then, many researchers analyze data from such... -
Discovery of Popular Languages from GitHub Repository: A Data Mining Approach
Usage of Open Source Software (OSS) has been increased over the past fifteen years among programmers and computer users. OSS communities work as a... -
Using GitHub and Grafana Tools: Data Visualization (DATA VIZ) in Big Data
We’ll talk about data visualization, why it’s important, and how to use data visualization tools called GitHub and Grafana in this article. There are... -
CTCPPre: A prediction method for accepted pull requests in GitHub
As the popularity of open source projects, the volume of incoming pull requests is too large, which puts heavy burden on integrators who are...
-
PR-DupliChecker: detecting duplicate pull requests in Fork-based workflows
Pull requests (PR) are a fundamental aspect of collaborative software development, allowing developers to propose changes to a codebase hosted on...
-
Taylor series solutions for area ratio and Prandtl–Meyer inverses using differential transform method
The area ratio-Mach number (Stodola) and Prandtl–Meyer (PM) functions are explicit functions of Mach number for the area ratio and the Prandtl–Meyer...
-
Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks
Uncertainty estimation has received momentous consideration in applied machine learning to capture model uncertainty. For instance, the Monte-Carlo...
-
Communications: The Life Blood of a Project
In this chapter we review the importance of device-based communications, cross team communications, and also a few methods for team members to... -
Models and Methods for Searching Cohesive Teams of Software Developers
The paper describes the search approach for cohesive development teams in a field of software engineering. This type of teams is mostly wanted by IT... -
Carbon Footprint Evaluation of Code Generation through LLM as a Service
Due to increased computing use, data centers consume and emit a lot of energy and carbon. These contributions are expected to rise as big data... -
GitHub as a Social Network
GitHub is a popular source code hosting and development service that supports distributed teams working on large and small software projects,... -
Source Code Vulnerability Detection Based on Graph Structure Representation and Attention Mechanisms
With the increasingly serious trend of information security, software vulnerability has become one of the main threats to computer security. How to... -
Fully Online Project-Based Learning of Software Development During the COVID-19 Pandemic
The COVID-19 pandemic impelled educational institutions worldwide to deliver online distributed education. We have been develo** project-based... -
imc-precip-iso: open monthly stable isotope data of precipitation over the Indonesian Maritime Continent
Stable isotopes,
δ 2 H,δ 18 O, and d-excess, are valuable tools as natural tracers of diffusion processes and phase changes in the global... -
Integrating Intelligence Paradigms into Cyber Security Curriculum for Advanced Threat Mitigation
As the cyber domain continues to develop, it becomes increasingly crucial to provide cybersecurity workers with state-of-the-art competencies. This... -
Language Models for Deep Learning Programming: A Case Study with Keras
This chapter explores the application of language models to programming languages and our work in constructing a dataset for the task. More... -
Optimizing compressive strength in sustainable concrete: a machine learning approach with iron waste integration
The current research delves into enhancing the sustainability of construction materials by incorporating iron waste into concrete mixtures. The...
-
Robust Extrinsic Self-Calibration of Camera and Solid State LiDAR
This work proposes an extrinsic calibration approach designed for the alignment of a monocular camera with a prism-spinning solid-state LiDAR....