Projects with this topic
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Contains the fundamental classes and interfaces that define the basic functionality of the SCOP framework.
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Docker java build image for gitlab-ci based on docker-in-docker (dind), jdk (adoptopenjdk) and maven
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Deterministic, format-preserving dependency remediation for GitLab CI — Maven first. A hundred eyes on your dependency graph.
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Java Automation project template. Junit4. Allure2. WDM. Selenide. Logger.
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This project is a simple Product Management system built with Java and Maven. It was developed in collaboration with Charaf Eddine as part of a practical assignment designed to help us learn and apply essential software development tools.
The main objective of this project is to understand how to use Git and GitLab, including version control workflows, branching strategies, and GitLab CI/CD automation. We implemented CRUD functionalities, wrote unit tests with JUnit, and configured a GitLab pipeline to compile the project, run tests, and generate the final package.
The repository follows a real development workflow using feature branches, Merge Requests, and validation rules such as Pipelines must succeed. It serves as hands-on training to practice modern development habits and continuous integration principles.
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REST API to manage bookshelf's project data book
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Core Spring lab files from Spring Academy are open-source projects providing hands-on exercises for courses, offering practical experience with Spring Boot, Batch, and enterprise guides to reinforce learning
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A sample spring application to test 'mvn site' deployment to GitLab pages.
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Java microservice template built with Spring Boot, following a clean layered architecture. It offers modular REST API with a clear separation of concerns, including unit and integration tests.
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Java-based microservice template built with Spring Boot, following Hexagonal Architecture (Ports and Adapters). Provides a modular REST API suitable for creating scalable, maintainable, and testable services.
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This component runs PMD and integrates it with Gitlab. PMD is an extensible multilanguage static code analyzer. It finds common programming flaws like unused variables, empty catch blocks, unnecessary object creation, and so forth. It’s mainly concerned with Java and Apex, but supports 16 other languages. It comes with 400+ built-in rules. It can be extended with custom rules. It uses JavaCC and Antlr to parse source files into abstract syntax trees (AST) and runs rules against them to find violations. Rules can be written in Java or using a XPath query.
Depending on the component selected it can generate a Code Climate report, which is used by Gitlab as part of its code quality feature or a SARIF Report which integrates with the Gitlab Security Dashboard.
If supplied an Access Token and triggered by a Merge Request event, a second job is run which will leave Notes in the Merge Request for warnings found on changed code.
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During my internship, I learned how to create and configure a Spring Boot project using Maven and push it to GitLab.
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Java-based Spring Boot project demonstrating the usage of Spring beans, including configuration, scopes, lifecycle, initialization, and destruction, with practical examples.
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Maven archetype for simple experiment projects
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Jenkins pipeline that runs Trivy vulnerability scans on a Maven Java application before allowing code to proceed to staging. Generates a CSV report, prompts the developer to proceed or abort on findings, and emails the report if the pipeline is stopped.
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A competitive paper trading platform where players trade real NYSE stocks in time-bound tournaments using virtual capital and an AI agent to guide, using Spring Boot, Spring AI, PostgresDB.
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