Showing 7 open source projects for "java halstead metrics"

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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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    Demo Series - Small Business Backup By Veeam

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  • 1

    HEYMon

    Software, Server and Application Monitor

    ...HEYMon can monitor anything that is important for you: - Query a database: Look for patterns, perform queries, or generate statistics. - Parse a log file: Look for errors, or other alert conditions and statistics. - Read server metrics: Available RAM, Diskspace, processes, Windows Services - Read Windows Event logs - Monitor Security logs and web request logs - Monitor Guidewire software applications And much more! HEYMon has a Java API where you can create custom components to monitor whatever you need. The HEYMon server is supported on almost all operating systems including Linux, Windows XP/Vista/7/8, MacOSX, and UNIX. ...
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  • 2

    Balanced Scorecard Generator

    create metrics and scorecard easily

    This software allows your to generate metrics and scorecard based on your datebase easily.
    Downloads: 0 This Week
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  • 3
    The MCAS Project ( Metrics Correlation and Analysis service ) provides integral solution for system operators or VO users to uniformly access, transform and represent disjoint metrics data generated by distributed middle ware or user services.
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  • 4
    Jira and Bugzilla reporting solution that provides useful software quality metrics, reports, and analysis. Track progress and metrics historically.
    Downloads: 0 This Week
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  • 5
    π - PI is a Process Improvement system. It encompasses Asset, Metrics, Problem, Issue, Change and Knowledge management into a cohesive application.
    Downloads: 0 This Week
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  • 6
    Reporting solution that collects data from multiple MySQL databases and presents important metrics and reports related to performance and usage.
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  • 7
    De Key Data Monitor

    De Key Data Monitor

    This is a solution to help an enterprise to monitor their key data

    This is a solution to help an enterprise to monitor their key/sensitive data. It is composed of seven major components: k-data modeling, k-data capture, k-data store, k-data watcher, k-data metrics, k-data view and k-data action.
    Downloads: 0 This Week
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