Connecting the ALM Processes

Data Masking

The growing number of high-profile incidents in which sensitive and confidential data has been lost, stolen or leaked has created a panic in the industry. As strict laws and governing bodies such as HIPAA, the PCI DSS, the GLBA, the DPA and SOX continue to put pressure on organizations, the stakes become higher when managing patient health information, HR data and financial data. It is immensely important to comply with data protection legislation. Data breaches can no longer be swept under the rug and organizations require data masking solutions to help protect their sensitive data records.

So, what is data masking? Data masking strategies will obscure or de-identify specific data within a database table, flat file or XML message ensuring that data security is maintained and sensitive customer information is not leaked outside of authorized environments. This type of process is generally used for non-production environments, in particular testing and development. Masking algorithms are applied across multiple tables, applications and environments so referential and business integrity will be maintained.

Flat File Data Management

Managing flat file data in integrated systems is one of the most complex problems a tester can face. Datamaker™ provides a complete system to help testers and developers manage these files. Existing files can be quickly used as the basis for creating new versions of the files. The newly created files can be simply updated with more current dates or can be updated to reflect down-stream application requirements.

Quite often production files are used in development to test input processes or to prepare data for testing. These files often fail validation when purchase order numbers do not match, account balances have been reset ... or many other reasons. The ability to quickly manipulate these files will save many hours spent manually editing files or writing code to adjust specific values. Now there is finally a solution to the current struggles testers face when preparing and managing flat files.

Secure and Reliable Code

Parasoft provides developers technologies for:
Practices:

• Static analysis
  • Pattern-based static analysis
  • Data flow static analysis
  • Code metrics analysis
• Peer code review
• Unit testing
• Regression testing
• Memory error detection
• Software development management

Languages:

• Java
• .NET
• C
• C++
• XML and Web

Initiatives:

• Application security
• Embedded development
• Regulatory compliance
• Geographically-distributed development

Test Data Design

The painful truth is that too many test managers think that by using the HP/Mercury QTP solution they are using correct and valuable test data. However, they are only making an ineffective process just a little more efficient.

Grid-Tools Data Design™ is truly different from all of the "noise" in the marketplace today, as its primary focus is on ensuring you are using the right kind of test data. Datamaker Data Design™ focuses on the following elements:

• Creating and generating quality test data for all testing and development projects
• Ensuring that the requirements are unambiguous, correct, complete and logically consistent
• Reducing the nearly infinite number of potential tests to a manageable number
• Ensuring that the test produced the right answer for the right reason (i.e. it is the only approach that addresses propagating a defect to an observable point)