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Top 10 Software Testing and Software Quality Blogs

  
  
  
top 10 software test and development blogsHere are the 10 most-read Parasoft Blog articles from 2011:

  1. How Can Test-Driven Development (TDD) Be Automated?  Explores how automation can make Test-Driven Development (TDD) less painful and more valuable.

  2. Static Analysis for FDA: 3 Keys to Success Presents 3 keys to success with static analysis for FDA/medical device software validation.

  3. Test Code Coverage Metrics  Explores code coverage metrics including statement coverage (block coverage), branch coverage, and path coverage.

  4. Find More Bugs in Embedded C Software  Outlines how developers can use pattern-based static code analysis, runtime error detection, unit testing, and flow analysis together to find more bugs in an embedded C application.

  5. Static Analysis: One Piece of the FDA Compliance Puzzle  Introduces what the FDA software validation guidance expects in terms of static analysis and medical device software compliance.

  6. Medical Device Software Validation & Compliance: A Case Study  Discusses how Inomed was able to rapidly automate their established processes for IEC 62304 medical device software compliance—as well as introduce full requirements traceability—to significantly reduce the work required to achieve and sustain the mandated medical device software compliance certification.

  7. Agile Quality Tip #4 - Use Defect Detection for Defect Prevention  Discusses how to use each error detected as an opportunity to immunize your software development process against similar software defects.

  8. Agile Quality Tip #8 - Reduce End-to-End Testing Complexity   Explains how Application-Behavior Virtualization removes end-to-end testing constraints.

  9. New .NET Static Analysis Article  Introduces static analysis techniques (static code analysis, data flow analysis, metrics), as well as provides tips on how to apply them to .NET (C#, VB.NET, etc.).

  10. Agile Quality Tip #5 - Manage Code Complexity  Discusses how managing code complexity reduces the time and effort required to modify and extend code in Agile development processes.

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Posted @ Monday, January 23, 2012 4:23 AM by Ajay
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