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Showing 6 open source projects for "sql"

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  • 1
    wavsep

    wavsep

    Web Application Vulnerability Scanner Evaluation Project

    ...Visit WAVSEP homepage to learn more: https://code.google.com/p/wavsep/ The project includes the following test cases: Path Traversal/LFI: 816 test cases (GET & POST) Remote File Inclusion (XSS via RFI): 108 test cases (GET & POST) Reflected XSS: 66 test cases, implemented in 64 jsp pages (GET & POST) Error Based SQL Injection: 80 test cases, implemented in 76 jsp pages (GET & POST) Blind SQL Injection: 46 test cases, implemented in 44 jsp pages (GET & POST) Time Based SQL Injection: 10 test cases, implemented in 10 jsp pages (GET & POST)
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  • 2

    TCJ

    TCJ (TPC-C via JDBC) is an implementation of TPC-C in Java using JDBC.

    TCJ (TPC-C via JDBC) is an implementation of TPC-C in Java, which is using JDBC and which was created with an emphasis on open source relational database systems. Thanks to this, it can be used to benchmark almost any RDBMS, which supports SQL.
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  • 3
    TPoX is an XML database benchmark based on a financial application scenario. It is used to evaluate the performance of XML database systems, focusing on XQuery, SQL/XML, XML storage, XML indexing, XML Schema support, XML updates, and other aspects.
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    Downloads: 1 This Week
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  • 4
    The BSBM (Berlin SPARQL Benchmark) suite for benchmarking RDF stores or RDB-2-RDF wrappers over the SPARQL protocol. Pure RDBMS benchmarking via SQL is also possible. Visit http://www4.wiwiss.fu-berlin.de/bizer/BerlinSPARQLBenchmark for more details.
    1 Review
    Downloads: 1 This Week
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  • 5
    a framework library with a template method interface and inheritable classes for an executable process design which produces an executable which is both a GUI and a console application. It provides multi-threading for work items of the provider process .
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  • 6
    Have you ever wondered which database indexes you should create for your JDBC-based application ? This Swing-based SQL profiler tries to offer a tool to monitor which tables and columns are accessed the most in SQL queries to recommend index creation
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