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Description
At the outset, all tests for Apache Ant tasks were created as separate JUnit test cases. However, it soon became evident that many of these tests required common functionalities, such as reading a build file, setting up a project instance, and executing a target. This realization led to the creation of BuildFileTest, a foundational class for nearly all task test cases. BuildFileTest has proven to be effective and has even been adopted by the Ant-Contrib Project and several others. This method offers several benefits, one notable advantage being the ease with which a user can convert an example build file from a bug report into a corresponding test case. Consequently, if a user is asked to provide a test case for a specific bug in Ant, they no longer need to comprehend JUnit or how to integrate a test within Ant's established testing framework. Building on this concept, AntUnit takes the testing methodology a step further by eliminating JUnit entirely and providing a suite of predefined <assert> tasks that allow for the reuse of common checks, thereby streamlining the testing process even more effectively. This evolution in testing not only simplifies the process for users but also enhances the overall efficiency and reliability of the testing framework.
Description
Having the most skilled developers isn't enough if testing processes are hindering their progress; in fact, a staggering 80% of your software tests may be ineffective. The challenge lies in identifying which 80% is truly unnecessary. We utilize your data to pinpoint the essential 20%, enabling you to accelerate your release process. Our predictive test selection tool, inspired by machine learning techniques employed by leading companies like Facebook, is designed for easy adoption by any organization. We accommodate a variety of programming languages, test frameworks, and continuous integration systems—just integrate Git into your workflow. Launchable employs machine learning to evaluate your test failures alongside your source code, sidestepping traditional code syntax analysis. This flexibility allows Launchable to effortlessly extend its support to nearly any file-based programming language, ensuring it can adapt to various teams and projects with differing languages and tools. Currently, we provide out-of-the-box support for languages including Python, Ruby, Java, JavaScript, Go, C, and C++, with a commitment to continually expand our offerings as new languages emerge. In this way, we help organizations streamline their testing process and enhance overall efficiency.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Android
Apple iOS
Beats
Bitbucket
Cucumber
Cypress
GitHub
GitLab
Gradle
Integrations
Amazon Web Services (AWS)
Android
Apple iOS
Beats
Bitbucket
Cucumber
Cypress
GitHub
GitLab
Gradle
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
ant.apache.org/antlibs/antunit/
Vendor Details
Company Name
Launchable
Country
United States
Website
www.launchableinc.com
Product Features
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing