QA Automation Software

View 4745 business solutions

Browse free open source QA Automation software and projects below. Use the toggles on the left to filter open source QA Automation software by OS, license, language, programming language, and project status.

  • Event Management Software Icon
    Event Management Software

    Ideal for conference and event planners, independent planners, associations, event management companies, non-profits, and more.

    YesEvents offers a comprehensive suite of services that spans the entire conference lifecycle and ensures every detail is executed with precision. Our commitment to exceptional customer service extends beyond conventional boundaries, consistently exceeding expectations and enriching both organizer and attendee experiences.
  • Desktop and Mobile Device Management Software Icon
    Desktop and Mobile Device Management Software

    It's a modern take on desktop management that can be scaled as per organizational needs.

    Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
  • 1
    Jailer

    Jailer

    Database Subsetter and Relational Data Browser

    Database Subsetting and Relational Data Browsing Tool. Navigate bidirectionally through the database by following foreign-key-based or user-defined relationships. Exports consistent, referentially intact row-sets from relational databases. Removes data w/o violating integrity. Generates topologically sorted SQL-DML, hierarchically structured XML. and DbUnit datasets.
    Leader badge
    Downloads: 1,367 This Week
    Last Update:
    See Project
  • 2
    TestLink

    TestLink

    Test & requirements management

    TestLink is a web based Test Management tool. The application provides Test specification, Test plans and execution, Reporting, Requirements specification and collaborate with well-known bug trackers. Repository: https://github.com/TestLinkOpenSourceTRMS
    Leader badge
    Downloads: 1,179 This Week
    Last Update:
    See Project
  • 3

    cppcheck

    Static source code analysis tool for C and C++ code

    Static analysis of C/C++ code. Checks for: memory leaks, mismatching allocation-deallocation, buffer overrun, and many more. The goal is 0% false positives. See http://cppcheck.sourceforge.net for more information.
    Leader badge
    Downloads: 370 This Week
    Last Update:
    See Project
  • 4
    Eclipse Checkstyle Plug-in

    Eclipse Checkstyle Plug-in

    Integrates Checkstye into the Eclipse IDE

    The Eclipse Checkstyle plug-in integrates the Checkstyle Java code auditor into the Eclipse IDE. The plug-in provides real-time feedback to the user about violations of rules that check for coding style and possible error prone code constructs.
    Leader badge
    Downloads: 153 This Week
    Last Update:
    See Project
  • Optimize your workforce. Icon
    Optimize your workforce.

    Avilar serves clients in the private, government and non-profit sectors, with 50 to 250,00 learners and administrative users.

    To win in today’s business environment, you need the right people, with the right skills, in the right jobs, at the right time. Avilar, the Competency Company, helps astute organizations optimize their workforce for success. Avilar’s competency and eLearning tools provide flexible workforce analytics solutions that work.
  • 5
    A Notepad++ plugin that allows users to run JSLint (The JavaScript Code Quality Tool) against their open JavaScript files (more about JSLint at http://www.jslint.com/lint.html). Also supports JSHint (http://www.jshint.com/).
    Leader badge
    Downloads: 165 This Week
    Last Update:
    See Project
  • 6
    A plug in for Eclipse that calculates metrics for your code during build cycles and warns you, via the Problems View, of 'range violations' for each metric. You may also export the metrics to various formats for further analysis.
    Leader badge
    Downloads: 185 This Week
    Last Update:
    See Project
  • 7
    CppUnit is the C++ port of the famous JUnit framework for unit testing. Test output is in XML or text format for automatic testing and GUI based for supervised tests.
    Downloads: 66 This Week
    Last Update:
    See Project
  • 8
    This website is deprecated. From 2023-11, please use go to github (https://github.com/dacapobench/dacapobench) for the latest releases.
    Leader badge
    Downloads: 301 This Week
    Last Update:
    See Project
  • 9
    Metrics

    Metrics

    Capturing JVM and application-level metrics

    Metrics is a Java library which gives you unparalleled insight into what your code does in production. Metrics provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. With modules for common libraries like Jetty, Logback, Log4j, Apache HttpClient, Ehcache, JDBI, Jersey and reporting backends like Graphite, Metrics provides you with full-stack visibility. The central library for Metrics is metrics-core, which provides some basic functionality. The starting point for Metrics is the MetricRegistry class, which is a collection of all the metrics for your application (or a subset of your application). Each metric is associated with a MetricRegistry, and has a unique name within that registry. A gauge is the simplest metric type. It just returns a value. If, for example, your application has a value which is maintained by a third-party library, you can easily expose it by registering a Gauge instance which returns that value.
    Downloads: 2 This Week
    Last Update:
    See Project
  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
  • 10
    Cobertura is a free Java tool that calculates the percentage of code accessed by tests. It can be used to identify which parts of your Java program are lacking test coverage. It is based on jcoverage.
    Downloads: 41 This Week
    Last Update:
    See Project
  • 11
    Supporting applications for John Haller's PortableApps.com, including some open source tools set up in PAF installer format.
    Downloads: 26 This Week
    Last Update:
    See Project
  • 12
    EMMA is a fast Java code coverage tool based on bytecode instrumentation. It differs from the existing tools by enabling coverage profiling on large scale enterprise software projects with simultaneous emphasis on fast individual development.
    Downloads: 34 This Week
    Last Update:
    See Project
  • 13
    CCCC is a tool which analyzes C++ and Java files and generates a report on various metrics of the code. Metrics supported include lines of code, McCabe's complexity and metrics proposed by Chidamber&Kemerer and Henry&Kafura.
    Leader badge
    Downloads: 36 This Week
    Last Update:
    See Project
  • 14
    EclEmma - Java Code Coverage for Eclipse
    EclEmma is a free Java code coverage tool for Eclipse, available under the Eclipse Public License. It brings code coverage analysis directly into the Eclipse workbench. The EclEmma project is also the home of the JaCoCo code coverage library which is the technical back-end for EclEmma and also has integrations with many other build and software quality tools.
    Downloads: 17 This Week
    Last Update:
    See Project
  • 15
    Requirements management tool designed to achieve full SDLC traceability for features, requirements, design, implementation and testing. UI for requirements derivation, version control, attributes etc. Upgrade path also available at https://sourceforge.net/projects/nimble
    Downloads: 40 This Week
    Last Update:
    See Project
  • 16
    SLOCCount is an easy-to-use tool that counts Source Lines of Code (SLOC). It auto-determines the language(s) (inc. C, C++, Ada, Assembly, shell, COBOL, C#, Fortran, Haskell, Java, LISP/Scheme, Perl, PHP, Python, Ruby, SQL). It also estimates cost & time.
    Downloads: 27 This Week
    Last Update:
    See Project
  • 17
    ebizzy is designed to generate a workload resembling common web application server workloads. It is highly threaded, has a large in-memory working set, and allocates and deallocates memory frequently.
    Downloads: 21 This Week
    Last Update:
    See Project
  • 18
    Unit testing, mock objects and web testing framework for PHP built around test cases. If you know JUnit/JMock or some of the PHPUnit clones this will need no explanation. Includes a native web browser for testing web sites directly (no JavaScript).
    Downloads: 14 This Week
    Last Update:
    See Project
  • 19

    Flawfinder

    Finds vulnerabilities in C/C++ source code

    Flawfinder is a program that examines C source code and reports possible security weaknesses (``flaws'') sorted by risk level. It's very useful for quickly finding and removing some security problems before a program is widely released.
    Downloads: 40 This Week
    Last Update:
    See Project
  • 20

    QtProjectTool

    QtCreator plugin for some command line tools over a Qt (.pro) project.

    qpt (Qt Project Tool) understands Qt C++ projects (.pro) and allows to pass this information to command line tools as "Code Counters" and "Static Analysis tools". It also can used inside QtCreator to act as a plugin for "Static Analysis tools" putting reported issues into QtCreator issues pane.
    Downloads: 17 This Week
    Last Update:
    See Project
  • 21
    Priority Estimation Tool (AHP)

    Priority Estimation Tool (AHP)

    PriEsT is a decision making tool for Analytic Hierarchy Process (AHP).

    Priorty Estimation Tool (PriEsT) is a decision analysis tool. You can use it for ranking the options you have, or alternatively, you may use it for resource allocation (budgeting) problems. In PriEsT, you enter a list of available options and then define your criteria for prioritization. After defining criteria, PriEsT allows you to enter your judgements against each criterion, which are then used to calculate the final ranking (or weights). Please cite this if you find it useful:- Siraj, S., Mikhailov, L. and Keane, J. A. (2015), "PriEsT: an interactive decision support tool to estimate priorities from pairwise comparison judgments". International Transactions in Operational Research. 22: 217–235. doi:10.1111/itor.12054
    Downloads: 44 This Week
    Last Update:
    See Project
  • 22
    UCDetector

    UCDetector

    Eclipse Plugin to find unused Java code

    UCDetector (Unnecessary Code Detector) is a Open Source Eclipse Plugin Tool. UCDetector finds unnecessary (dead) public Java code. It suggests to make code final, protected or private.
    Leader badge
    Downloads: 11 This Week
    Last Update:
    See Project
  • 23
    PerceptualDiff is an image comparison utility that compares two images using a perceptual metric. That is, it uses a computational model of the human visual system to determine if two images are visually different, so minor changes in pixels are ignored.
    Downloads: 14 This Week
    Last Update:
    See Project
  • 24
    JTrac

    JTrac

    Easy to set up bug tracking with Java

    JTrac is a generic issue-tracking web-application that can be easily customized by adding custom fields and drop-downs. Features include a customizable workflow, field level permissions, e-mail integration, file attachments, a detailed history view and changeable colors to fit a particular CI/CD. After a long hiatus, development has resumed with version 2.2.0 in December 2021, 2.2.1 in February 2022, 2.3.0 in February 2023 and 2.3.1 in May 2023. See https://sourceforge.net/p/j-trac/wiki/Home/ for release notes and documentation, and download it at https://sourceforge.net/projects/j-trac/files/jtrac/. Feedback is welcome. jTrac continues to be improved, and has recently been awarded the SourceForge "Open Source Excellence" badge.
    Downloads: 8 This Week
    Last Update:
    See Project
  • 25
    AdaControl

    AdaControl

    Ada source code controller

    A tool that detects the use of many constructs in Ada programs. Use it to control style or programming rules, but also as a powerful tool to search for use (or non-use) of various forms of programming styles or design patterns.
    Downloads: 13 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • 2
  • 3
  • 4
  • 5
  • Next

Open Source QA Automation Software Guide

Open source QA automation software is a type of software that enables users to test the quality of their digital products. This type of software has become increasingly popular in recent years due to its affordability and user-friendly features. Open source QA automation software automates the process of testing, which helps make sure that products are properly tested and any potential issues are identified before they become major problems.

When using open source QA automation software, users can create tests with specific criteria. The tests can include criteria such as unit tests, regression tests, exploratory tests, load testing, integration testing, etc. These tests help make sure that each element within the system is being tested thoroughly and appropriately. Additionally, open source QA automation tools provide detailed reports on how each test performed and what areas need improvement or further testing.

Additionally, open source QA automation software often provides comprehensive bug tracking capabilities that enable users to easily track bug occurrences throughout the development cycle. Bug tracking ensures that all bugs found in the product have been identified and addressed prior to release. Furthermore, many open source QA tools come equipped with various types of analytics tools so users can better analyze data related to their product’s performance over time and more accurately assess any potential risks or issues before releasing a product.

Overall, open source QA automated software provides a convenient way for businesses to effectively test and monitor their digital products while ensuring they meet industry standards of quality assurance. Additionally, this type of automated testing is relatively inexpensive when compared to manual methods which makes it an attractive option for businesses looking to save money while maintaining high standards in terms of product quality.

What Features Does Open Source QA Automation Software Provide?

  • Automated Tests: Open source QA automation software provides automated testing which can help to streamline the software development process. This feature enables users to create automated tests that run against their applications, helping them to ensure that the quality of their software remains high and all bugs are found quickly.
  • Test Execution: With open source QA automation tools, users can execute multiple test cases in a single execution session. This feature allows for quick feedback on which features are working correctly and which ones need attention.
  • Reporting: Reports can be generated at any time providing detailed information about test results, errors or problems encountered during the tests, as well as performance statistics such as elapsed time and memory consumption. This helps developers to pinpoint areas where improvements may be needed and also provides clear evidence when evaluating whether changes have been successful or not.
  • Continuous Integration Support: Open source QA automation tools provide support for continuous integration, allowing developers to easily set up automated tests that will run whenever new code is added to the system. This ensures that any new code is thoroughly tested before being released into production environments.
  • Database Testing: Database tests can be performed using open source QA automation tools, giving testers direct access to databases in order to check data integrity and accuracy. This helps identify potential issues that could cause unexpected behavior in an application.
  • Multi Language Support: Many open source QA automation tools support multiple programming languages making it easy for developers from varying skill levels and backgrounds to use them effectively.

Types of Open Source QA Automation Software

  • Unit Testing Software: These tools allow users to test individual units of source code, such as classes, functions and methods. They are used to detect bugs and errors on a basic level before the software is released.
  • Functional Testing Software: This type of QA automation software enables testing of complete applications or systems from the user’s perspective. It is used to make sure that all features work together properly.
  • Regression Testing Software: Regression testing software tests for errors that have been previously corrected. It verifies that no new bugs have been introduced in older versions of the software after updates are made.
  • Load Testing Software: This type of QA automation software is designed to test how well an application or system can handle large amounts of data or traffic at one time. It can help identify areas where performance needs improvement and diagnose stability issues with hardware or software configurations.
  • Security Testing Software: Security testing software is used to detect any potential vulnerabilities in a system that could be exploited by hackers or malicious actors. It validates security measures taken by developers and helps protect against unauthorized access to sensitive data.
  • Usability Testing Software: Usability testing software evaluates how intuitive and user-friendly a website or application is for its intended audience. It can help identify usability issues before they become a problem for end users, such as difficulty navigating through the interface, confusing labels and difficult-to-understand text content.

What Are the Advantages Provided by Open Source QA Automation Software?

  1. The benefits of open source QA automation software are many and varied, offering the user a wide range of advantages in terms of cost savings, time savings, improved quality assurance, and greater efficiency. Here is a list of the benefits:
  2. Cost Savings: Open source QA automation software is free to use, so you don’t have to pay for expensive licenses or subscriptions. This allows organizations to maximize their budget by using resources more efficiently.
  3. Time Savings: By automating certain test cases, manual testing can be eliminated almost completely. This means that testers can save time and energy that would otherwise be spent on manual tests. Additionally, automated tests can be run multiple times over different combinations of data sets in parallel so they provide faster feedback than manual tests which need to be performed one at a time.
  4. Improved Quality Assurance: When automated tests are used alongside manual testing it helps to ensure higher levels of quality as well as accuracy when compared to solely relying on manual testing alone. Automated tests can also detect bugs that may have been missed during manual testing.
  5. Greater Efficiency: Automated tests can provide more accurate results in less time than manual testing due to its ability to test multiple scenarios at once with minimal effort required from the tester. This saves time and money while ensuring that applications remain up-to-date and functional even after frequent changes or updates are made.

What Types of Users Use Open Source QA Automation Software?

  • Developers: Developers use open source QA automation software to automate the testing of code and ensure that it is functioning properly.
  • IT Professionals: IT Professionals utilize open source QA automation software to test applications and systems in order to identify any potential problems or vulnerabilities.
  • Quality Analysts: Quality Analysts typically employ open source QA automation software to evaluate the quality of products, test cases, and scripts before releasing them into production environment.
  • Testers: Testers use open source QA automation software in a wide range of areas, including performance testing, usability testing, security testing, functional testing, compatibility testing and regression testing.
  • Business Analysts: Business Analysts may utilize open source QA automation software to analyze business requirements and objectives in order to create effective test plans for development projects.
  • Project Managers: Project Managers use open source QA automation software for project planning as well as for reporting on project progress as tests are carried out.
  • System Administrators: System Administrators may leverage open source QA automation software to verify system components are functioning correctly before deployment.

How Much Does Open Source QA Automation Software Cost?

Open source QA automation software is a great option for those looking to save money on testing solutions, as it is generally free to use. However, there are often associated costs like hosting, security, and development resources that may need to be addressed if you plan on using the software for more than just an evaluation. Additionally, depending on the complexity of your setup and how much customization you require in order to meet your QA goals, there can be additional costs associated with professional support from an open source automation specialist. It's important to assess these costs ahead of time so that you know exactly what you're getting into before committing to any particular solution.

What Software Can Integrate With Open Source QA Automation Software?

Open source QA automation software can integrate with many types of software, including bug-tracking systems, build tools, IDEs (Integrated Development Environments), virtual machines, and continuous integration systems. Bug-tracking systems such as JIRA and Bugzilla are used to track and manage bugs or issues in software development; this data can be integrated with open source QA automation software to help identify and address problem areas. Build tools like Apache Maven allow developers to compile their code into an executable format; open source QA automation can automate testing of the resulting builds against specified criteria. IDEs such as Eclipse give developers a single workbench where they can write and compile code; they can then use open source QA automation to test the compiled code for errors or unexpected behavior. Virtual machines provide an isolated environment for running programs or simulating user interaction; these can be utilized by an open source QA automation tool to perform repeatable tests on multiple environments. Additionally, CI (Continuous Integration) systems like Jenkins enable automated builds of each change committed by developers; integration with open source QA automation allows for automated execution of tests after each build.

Trends Related to Open Source QA Automation Software

  1. Increased Demand: The demand for open source QA automation software is on the rise due to the increasing need for automated testing. This is due to the fact that manual testing can be time-consuming and error-prone, while automated testing can be more efficient and accurate.
  2. Improved Performance: Open source QA automation software has improved in terms of performance and reliability over the years. This has enabled businesses to save time and money when conducting tests.
  3. Enhanced Security: Open source QA automation software allows businesses to have better control over their security policies, as they can customize the software to fit their needs. This has made it easier for organizations to ensure their data is secure.
  4. Cost Savings: Open source QA automation software is generally much less expensive to purchase than other types of software, which makes it an attractive choice for businesses with limited budgets.
  5. Continuous Improvement: The open source community continually works on improving existing features and adding new ones, which helps ensure that the software remains up-to-date and effective.
  6. Platform Independence: Open source QA automation software can be used on different operating systems and browser platforms, which makes it more versatile and useful for businesses.

How To Get Started With Open Source QA Automation Software

Getting started with open source QA automation software can be a great way to start implementing automation into your development workflow. Here are the steps you need to take to get started:

  1. Select a Tool - First, you'll need to select the open source tool that meets your needs. Look for features like support for multiple programming languages, cross-browser compatibility, and object recognition. Popular tools include Selenium, TestComplete, and Appium.
  2. Install the Tool - Once you have chosen a tool, download it from its site and install it in accordance with the instructions provided.
  3. Learn How It Works - Now that you have installed your tool of choice, familiarize yourself with how it works by reading up on its documentation or taking tutorials. Many tools also offer webinars or video tutorials to help users learn quickly how they work.
  4. Run Tests - Once you understand how the tool works and feel comfortable working with it, you can begin running tests on your software applications or website by coding test scripts in whatever language is supported by your automated testing framework (e.g., Java). You will want to use unit tests initially before progressing to more complex functional and integration tests within larger test suites as needed.
  5. Implement Best Practices - As you become more familiar with writing automated tests, make sure that you are also adhering to best practices so that your tests remain maintainable over time-- this includes following code standards for writing clean code “by the book” as well as organizing files and keeping track of version control using a version control system like Git or Subversion (SVN).
  6. Monitor Your Results - The last step is to use the reporting features available within most automated testing tools such as generating logs with errors encountered during execution of each test case which can be useful in debugging issues encountered during execution of tests. By monitoring results over time, you can analyze trends related to performance bottlenecks or broken builds for example so that these issues can be addressed quickly before they affect end users downstream in production environments where bugs may prove more costly or difficult to fix later on down the line.