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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Implementing standardized testing and data management practices within a division or organization can prove to be a challenging and lengthy endeavor. To ensure data accuracy and facilitate the successful implementation of extensive projects, numerous companies conduct data quality assurance assessments prior to launching initiatives in field force automation or enterprise asset management. Doble offers a variety of data-centric solutions designed to minimize manual tasks and redundant workflows, enabling you to streamline the collection, storage, and organization of your asset testing information. Additionally, Doble is equipped to offer clients comprehensive supervisory services for data governance project management, promoting effective data management methodologies. For further assistance, reach out to your Doble Representative to access self-help resources and further training opportunities. Moreover, the Doble Database enhances robust data governance by systematically capturing data and securely backing up files within a well-structured network folder system. This structured approach not only safeguards data but also facilitates easy retrieval and organization.

Description

Testing and managing test data for IBM i, IBM iSeries, and AS/400 systems requires thorough validation of complex applications, extending down to the underlying data. TestBench for IBM i offers a robust and reliable solution for test data management, verification, and unit testing, seamlessly integrating with other tools to ensure overall application quality. Instead of duplicating the entire live database, you can focus on the specific data that is essential for your testing needs. By selecting or sampling data while maintaining complete referential integrity, you can streamline the testing process. You can easily identify which fields require protection and employ various obfuscation techniques to safeguard your data effectively. Additionally, you can monitor every insert, update, and delete action, including the intermediate states of the data. Setting up automatic alerts for data failures through customizable rules can significantly reduce manual oversight. This approach eliminates the tedious save and restore processes and helps clarify any inconsistencies in test results that stem from inadequate initial data. While comparing outputs is a reliable way to validate test results, it often involves considerable effort and is susceptible to mistakes; however, this innovative solution can significantly reduce the time spent on testing, making the entire process more efficient. With TestBench, you can enhance your testing accuracy and save valuable resources.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

IBM i No 
QF-Test No 

Integrations

IBM i Yes 
QF-Test Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1,200 per user per year
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Doble Engineering Company

Founded

1920

Country

United States

Website

www.doble.com/product/test-data-management/

Vendor Details

Company Name

Original Software

Founded

1997

Country

United Kingdom

Website

originalsoftware.com/products/testbench/

Product Features

Product Features

Automated Testing

Hierarchical View No 
Move & Copy No 
Parameterized Testing No 
Requirements-Based Testing No 
Security Testing No 
Supports Parallel Execution No 
Test Script Reviews No 
Unicode Compliance No 

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Software Testing

Automated Testing No 
Black-Box Testing No 
Dynamic Testing No 
Issue Tracking No 
Manual Testing No 
Quality Assurance Planning No 
Reporting / Analytics No 
Static Testing No 
Test Case Management No 
Variable Testing Methods No 
White-Box Testing No 

Test Management

Automation Integration No 
Collaboration Tools No 
Pass/Fail Results Tabulation No 
Reporting / Analytics No 
Requirements Management No 
Test Scheduling No 
Test Tracking No 
Time/Budget Tracking No 

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