Showing 4 open source projects for "java class analysis"

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    Inventory and Order Management Software for Multichannel Sellers

    Avoid stockouts, overselling, and losing control as your business grows.

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  • Network Management Software and Tools for Businesses and Organizations | Auvik Networks Icon
    Network Management Software and Tools for Businesses and Organizations | Auvik Networks

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  • 1

    Poor Man's Timing And Profiling

    Library tools to collect timing in Java, C, C++

    A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.
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  • 2
    Beet adds user behavior and performance tracking to a Spring-based Java app. HTTP requests, method calls, and SQL statements are tracked and associated to user and session. includes XML, binary XML, and JDBC loggers. See http://beet.sourceforge.net.
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  • 3
    An add-on package for implementations of Contexts and Dependency Injection for the Java EE platform (CDI - JSR-299) providing convenient integration with Perf4j - performance monitoring library for Java applications.
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  • 4
    Add-on package for Seam Framework providing convenient integration with Perf4j - performance monitoring library for Java applications.
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  • SoftCo: Enterprise Invoice and P2P Automation Software Icon
    SoftCo: Enterprise Invoice and P2P Automation Software

    For companies that process over 20,000 invoices per year

    SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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