CQE

As software systems become more complex and integral to business success, the demand for effective testing has never been greater. Yet, achieving complete test coverage remains an unattainable goal. Our latest article explores why and introduces the Business Impact × Technical Complexity (BI × TC) ratio—a practical framework for optimising software testing budgets. At CQE, we help organisations strike the right balance between Business Impact and Technical Complexity to maximise testing efficiency and deliver high-quality software. #SoftwareTestingBudget #BusinessImpactTechnicalComplexity #CQEServices

Given the limitations of complete test coverage, a more strategic approach is necessary. The Business Impact × Technical Complexity Ratio (BI × TC) offers a framework for prioritising testing efforts, focusing resources on the areas of greatest risk and highest value. The benefits of the BI X TC framework include: 1. Optimised Resource Allocation 2. Risk Mitigation 3. Cost and Time Savings 4. Adaptability CQE can help you realise the benefits of applying such a framework. Get in touch for more information, and to discuss how we can help you implement a an approach to enhance your test coverage. #SoftwareTestingBudget #BusinessImpactTechnicalComplexity #CQEServices #BIxTCFramework

Complete test coverage is unattainable. CQE can help you understand how the Business Impact × Technical Complexity (BI × TC) ratio offers a practical framework for optimising the allocation of software testing budgets. Get in touch for more information, and to discuss how we can help you implement a framework to enhance your test coverage. #SoftwareTestingBudget #BusinessImpactTechnicalComplexity #CQEServices

As software continues to grow in complexity and its role in business operations becomes increasingly critical, the need for thorough testing has never been greater. However, achieving complete test coverage is impossible due to the inherent complexities of modern software systems, limited resources, and time constraints. Therefore, software testing must be prioritised based on a balance of Business Impact and Technical Complexity. At CQE, we help you build a practical framework to optimise the allocation of software testing budgets based on a balance of Business Impact and Technical Complexity. #SoftwareTestingBudget #BusinessImpactTechnicalComplexity #CQEServices

As organizations move toward digital transformation, migrating legacy systems, including mainframes, to modern cloud infrastructure is a critical step. In this webinar, we will explore how artificial intelligence is playing a pivotal role in streamlining this complex transition while minimizing risk and ensuring operational continuity. https://lnkd.in/ez3qzekm

Come and join us to hear how you can practically apply AI to help you migrate from legacy to modern technology. https://lnkd.in/ez3qzekm

How do you rapidly move from legacy technology to modern tech, use AI. CQE are hosting a webinar to showcase potential solutions to the problem of legacy transformation.

As organisations increasingly transition from traditional on-premise solutions to cloud-based infrastructures, the approach to performance testing should also evolve. Cloud-based solutions share the same objectives as on-premise; however a fundamental additional objective of determining auto-scaling factors is introduced. Read our article to learn more about the key considerations in the approach to performance testing cloud vs. on-premise hosted applications: https://lnkd.in/eeCHVKVw #PerformanceTesting #Cloud #OnPremise #PerformanceTestingApproach #CQEServices

The approach to performance testing varies greatly between on-premise and cloud environments. The objectives of testing can also vary between different hosting solutions. Whilst on-premise solutions typically offer rigid resource availability the primary objectives for performance testing include validating that fixed resource allocation can process load efficiently along with being able to remain stable and performant during periods of exceptional loads. Cloud-based solutions share the same objectives as on-premise; however a fundamental additional objective of determining auto-scaling factors is introduced. Please get in touch for more information, and to discuss how can we help you choose the best strategy for your performance testing approach. #PerformanceTesting #Cloud #OnPremise #PerformanceTestingApproach #CQEServices

The approach to performance testing varies greatly between on-premise and cloud environments. Testing of on-premise solutions provides full control and precise configuration but can lack flexibility and scalability. Testing of cloud-based solutions, on the other hand, can offer greater agility, cost-efficiency, and real-time scaling, but shared resources may introduce variability. Auto-scaling is an additional factor that must be validated to ensure resource and cost efficiency. Organisations should weigh these factors to choose the best testing approach for their specific needs. At CQE, we help you navigate these differences to choose the best strategy for your performance testing approach. #PerformanceTesting #CloudTesting #OnPremise #PerformanceTestingApproach #CQEServices