Search Results for "java metrics"
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Showing 7 open source projects for "java metrics"
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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Extracts dependencies and OO metrics from Java class files produced by most Java compilers. Computes API differences between versions. No source needed. Includes both Swing and command-line interfaces, with XSL stylesheets for formatting output.
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jtimeseries
library for capturing, storing and visualizing timeseries data
The JTimeSeries has moved to github Please go to https://github.com/JTimeSeries/jtimeseries The SourceForge copy has not been maintained since Sep 2012 A java library to assist with capturing and storing timeseries data/metrics. Provides facilities to publish timeseries data across a network, a lightweight server to persist series data, and client user interface components for real time visualization -
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Project to test the quality of open source softwarte. It measures software metrics and shows constrains between them.
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In early stages of software process implantation, is hard to measure the company performance. So, this project aims to help this difficult by providing a measurement process tool for software factories continuos improvement program.
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Qualiweb aims at providing semantic web metrics for modeling a website visitors needs according to a given taxonomy or document classification. Web metrics provided by Qualiweb give an indication of how successful each of the website topics have been.
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The aim of this project is to highlight the effect of lexical chain scoring metrics and keyword extraction techniques on summary generation. We present our own chain-based keyword extraction system using WordNet lexical database.
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