Software quality monitoring for teams and projects
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Updated
Aug 15, 2025 - Python
Software quality monitoring for teams and projects
Harnessing Large Language Models for Curated Code Reviews
ICTU's Kwaliteitsaanpak: a set of guidelines for software development projects
A software maintenance explorer tool - https://soft-evo.shinyapps.io/maintenance-activities/.
🔍 Analyze and visualize code health with metrics like cyclomatic complexity, TODOs, and more — for C#, Java, and beyond.
Technical Debt Catalog - Code Debt - Repository - Scientific Initiation Project supported by the São Paulo Research Foundation - FAPESP, grant n°: 2016/15631-4
A tool to compute test paths of Java methods and constructors.
Sistema de votação
This is a demo implementation of a CodeSparks plugin for the IntelliJ IDEA.
🔧⚙️ This project was made for Software Engineering, Management and Evolution exam and represents a maintenance activity on an already existing web application.
A Python tool for detecting code duplications and code quality issues in your projects. Replicheck analyzes your codebase to identify similar or identical code blocks, high complexity functions, large files/classes, and TODO/FIXME comments, helping you maintain code quality and reduce redundancy.
The CodeSparks framework aims to facilitate the integration of software analysis tools into the IDE such that their results are shown as glyph-based visualizations in the source code.
Implementation of the Simulator-based Explanations of DNN-Errors (SEDE) approach.
The purpose of this project is learning to make critical decisions through theory and practice of reengineering the source code of a selected system
This script converts .dmg files to .pkg format, enabling easy software distribution on macOS through JumpCloud. It automates the provisioning process and provides software tracking using a CSV file.
Materiale del corso di Ingegneria del Software
Scientific Software Self Admitted Technical Debt Analyzer
TDCodeVis Tool - Repository - Scientific Initiation Project supported by the São Paulo Research Foundation - FAPESP, grant n°: 2016/15631-4
🔧 The project for the course Software development, deployment and maintenance (SE109)
Automatizing Software Cognitive Complexity Reduction
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