Search Results for "git:/git.code.sf.net/p/docfetcher/code" - Page 18
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Showing 463 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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The AI coach for teams, built on validated assessments.Give managers and teams proactive, contextual coaching to lead effectively, communicate clearly, and navigate real work situations as they happen.
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Process Street | Compliance Operations PlatformBring compliance and operations under one roof with an AI agent that automates workflows, policies that enforce rules, and a platform that delivers results.
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Carina-Cucumber
Carina automation BDD framework (TestNG + Cucumber)
...Documentation and free support Cucumber usage example: https://github.com/zebrunner/carina-demo/tree/master/src/test/resources/features User guide: http://zebrunner.github.io/carina Demo project: https://github.com/zebrunner/carina-demo Code formatter We offer to use our configured Java code formatter for Eclipse. To use the same formatter in IntelliJ IDEA, you should install and configure Eclipse Code Formatter. Carina code formatter: https://github.com/qaprosoft/carina/blob/master/carina_formatter.xml Eclipse Code Formatter: https://plugins.jetbrains.com/plugin/6546-eclipse-code-formatter -
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SQL Spelunk
Tools For Testing SQL
A toolbox for testing SQL. Currently, SQL Spelunk includes code coverage analysis and calling stored procedures in a rolled-back transaction from SQL and JUnit. -
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Cortex: Boost Developer Coding SkillsCortex is a simple portal that helps developers work smarter by linking all your tools, setting clear rules, and slashing repetitive tasks. It speeds up onboarding, updates old code, and fixes issues fast. Over 100 big companies use it to save time and get better results.
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torque - Automation Testing Tool
Automation unit testing tool for C & C++ on Linux platform
...It covers major testing areas such as Unit Testing, Functional Testing and Regression Testing. Two major sections of the testing area like memory management and code coverage is accomplished by open source tools, such as, • Valgrind -- Memory Management • Lcov -- Code Coverage • splint -- Static Code Analysis 2. Supported Platform • Linux operating system on Intel x86 architecture • Linux operating system on Intel x86_64 architecture -
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Measure how directly your classes are tested by JUnit. Unlike traditional code coverage tools, PEA considers and measures whether the code covered ran as a direct call from a test, or indirectly via chained calls.
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A set of scripts, based around doctest, for performing regression testing & code coverage analysis on Python modules.
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Respond 100x faster, more accurately, and improve your documentationSlash response times for questionnaires, audits, and RFPs by up to 90%. OptiValue.ai automates the heavy lifting, freeing your team to focus on strategic priorities with intuitive tools for seamless review and validation.
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KodeFu is an N-tier entity code generator that copies object definitions from a .NET assembly and generates equivalent source code for the objects, translator classes, and a suite of unit tests for said translators.
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Checker C++ it is easy programme helping to write source code. It helps to avoid errors in C++ source code.
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Tiria is a eclipse-plugin to view code coverage data (e.g. from cobertura) within the IDE. Main objective of the plugin is to show how the code coverage changes during project progress.
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An ORM tool for generating a simple data layer in Visual Basic.NET. In addition to generating data access code, Schematica also generates unit tests consumable by NUnit.
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JUnitMetrics is a tool that enables to measure basic JUnit and Cactus tests metrics (like number of tests, assertions, number of executed assertions). It is great, complementary solution to code coverage tools and mutation testers.
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Alchemist plugin
Alchemist GCC/LLVM plugin for code analysis and tuning
News: since 2015 we continue all related developments within Collective Knowledge Framework: http://github.com/ctuning/ck/wiki Alchemist plugin is a collection of plugins for GCC/LLVM for external and fine-grain code analysis and tuning. It is intended to to extract program properties for machine learning based optimization (see MILEPOST GCC); optimize programs at fine-grain level (such as unrolling, tiling, prefetching, etc); tune default optimization heuristic; gradually decompose program and detect performance or other anomalies; generate benchmarks particularly useful to train ML-based compilers. ... -
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Provides possibility to adapt the interface of tested class. Enables to set a state of the class while writing tests by accessing the members that are not usually accessible.
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3A-TRE
3A-TRE evaluates traditionally logical expressions under 3 assumptions
...In this case, the dependent test modules are always assumed to be true when their results are not available. We call this a stub assumption (SA). 3A-TRE example: echo "CWA: (T and U)" | java -jar PTRE.jar Result: F 3A-PTRE example: (P means possible results) echo "OWA: (T,U and U,F)" | java -jar PTRE.jar Result: U,F -
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Development of traces for VDM. A trace statement is used to enhance a VDM models quality by providing an easy way to describe statements used to perform regression testing on the model. This project is related to the OvertureTool project.
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Test Connect provides monitoring and trend tracking of memory, CPU, etc. on kernel level code on multiple platforms. Used with every build Test Connect can provide insight into how code is behaving, or misbehaving, with system resources or memory.
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unobtainium
Obtain the unobtainable: test code covering multiple platforms
Unobtainium wraps Selenium and Appium in a simple driver abstraction so that test code can more easily cover: - Desktop browsers - Mobile browsers - Mobile apps The gem also wraps PhantomJS for headless testing. Some additional useful functionality for the maintenance of test suites is also added. -
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dotAux
dotAux (.AUX) Open Source Project
Quick Access: Visit Code Repo (https://github.com/PatHuang/dotAux) to browse or download dotAux code. dotAux Overview. dotAT (.AT) - Practices to see how Autotools (Autoconf/Automake/Autotest) could work. dotAux (.AUX) - Utilities and Macros. Macros are helpful to you, but utilities may be not. Utilities are just practices and would be useful to you when you understand them and know why development automation and test automation are important. -
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JS TDD (Game of Life)
JavaScript unit testing. TDD.
This Library allows you to perform unit testing in Javascript, to practice TDD and to produce the most fun Game of Life for a code retreat or coding dojo! :D You can watch is alive here: http://js-tdd.sourceforge.net/ -
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Blackfire Player
Web Crawling, Web Testing, and Web Scraping application
...Some Blackfire Player use cases: Crawl a website/API and check expectations -- aka Acceptance Tests; Scrape a website/API and extract values; Monitor a website; Test code with unit test integration (PHPUnit, Behat, Codeception, ...); Test code behavior from the outside thanks to the native Blackfire Profiler integration -- aka Unit Tests from the HTTP layer (tm). Blackfire Player executes scenarios written in a special DSL (files should end with .bkf).
