Open Source JSP Source Code Analysis Tools

JSP Source Code Analysis Tools

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Browse free open source JSP Source Code Analysis Tools and projects below. Use the toggles on the left to filter open source JSP Source Code Analysis Tools by OS, license, language, programming language, and project status.

  • Grafana: The open and composable observability platform Icon
    Grafana: The open and composable observability platform

    Faster answers, predictable costs, and no lock-in built by the team helping to make observability accessible to anyone.

    Grafana is the open source analytics & monitoring solution for every database.
    Learn More
  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • 1
    Java Call Trace to UML Sequence Diagram
    This tool helps you to reverse engineer UML Sequence Diagram for your java program at runtime. It works well with both complex java programs (that have multiple threads) and J2EE applications deployed on Application Servers.
    Downloads: 1 This Week
    Last Update:
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  • 2
    The Project aims to fulfill the following specific objectives of Computer Education, Supportive Education and Information Service Delivery, while in operation.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Scertify - TechDebt Community

    Scertify - TechDebt Community

    Benchmark code quality and measure Technical Debt of projects in Sonar

    Scertify™ Refactoring Assessment is an open source component dedicated to development & QA teams that provides exclusive benchmark data on Software Quality. It automatically detects the portions of an application that can be refactored, gives valuable information on refactoring strategies, and costs. Though IT departments have matured these last 10 years and have now no doubt on the benefits of a continuous control of code quality, three major concerns were still remaining, without any tools able to effectively addressing these needs: * How to understand quality indicators, and how to compare them with the state of the art? * How to measure and manage the gap between the absolute quality level of a software, and a reasonable (reachable) target of quality? * What are the shortest and safe ways to achieve your quality goals?
    Downloads: 0 This Week
    Last Update:
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