Automated Software Testing

AI automates the process of software testing, improving efficiency and accuracy, and reducing the time to market for new software products.

  • Information & Communication Technologies
  • Code Generation
  • Text Summarization

Motivation and Objectives

AI automates the process of software testing, improving efficiency and accuracy, and reducing the time to market for new software products.

Business Potential

  • Automates repetitive testing tasks, freeing up developers for more complex problem-solving.

  • Speeds up the testing phase, reducing the time to market for software products.

  • Reduces the risk of releasing software with defects or non-compliance issues.

  • Enhances software quality, leading to higher customer satisfaction and retention.

Steps

  • Generate test cases and scripts automatically based on the software requirements.

  • Summarize test results and generate reports for stakeholders.

Risks And Considerations

  • Adoption of automated testing might require significant up-front investment in technology and training.

  • Automated tests may not cover all edge cases, potentially leaving some defects undetected.

  • Relying too heavily on automation can lead to a skill gap in manual testing among the team.

Make or Buy Option

  • Building an in-house solution involves developing or customizing testing frameworks and tools to fit specific needs, requiring investment in skilled personnel and technology.

  • Purchasing solutions from vendors offers access to advanced testing tools with support and maintenance, but requires careful selection to ensure compatibility with existing systems.

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