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E-Zine: Software Testing Vol.2 - Testing Strategies for Complex Environments: Agile, SOA

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Achieve continuous testing at scale

For businesses operating at scale, efficient continuous testing is critical for maintaining security as operations expand.

But how can businesses overcome the hurdles associated with enterprise-level testing?

Join this webcast to learn about the intricacies of coping with complex challenges that arise in enterprise test automation and execution environments, specifically focusing on complexity, security, and scalability.

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    A leading telematics firm enhanced its testing processes by automating manual tests and converting regulations into test cases, boosting scalability by 80%. This cut potential project delays by 60%, improved testing quality, and met all coverage goals.

    Discover how automation can accelerate test coverage and yield significant benefits in this full case study.

  • Using Machine Learning to predict vulnerabilities in software testing

    This white paper examines how machine learning (ML) can improve testing methods. It also discusses the differences in the modern approach to testing which involves both automation and manual testing, and how testing can be improved using machine learning algorithms.

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    • ML's role in automating test case creation, script upkeep, and defect forecasting to boost efficiency
    • Using Bayes' Theorem for pinpointing high-risk areas in testing
    • ML in testing shortening regression periods from weeks to days

    Discover more in the full report.

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