Approaching Quality in Digital Era
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Digital transformation involves leveraging digital technologies to enhance business processes, customer behavior, and operational models, leading to increased complexity and the need for predictable quality throughout project lifecycles. Strategies for managing this transformation include risk-based testing, analyzing existing processes, and employing effective test automation methods. Organizations should focus on continuous improvement, clear expectations, and data analysis to mitigate risks and maintain quality.
Approaching Quality in Digital Era
- 1. Approaching Quality in Digital Era
- 2. Digital transformation is the profound and accelerating transformation of business activities, processes, competencies and models to fully leverage the changes and opportunities of digital technologies and their impact across society in a strategic and prioritized way. Digital transformation/Digitization
- 3. • Application of digital technologies to almost everything in our life. • Change in ecosystem (business, product, project) • Change in customers behavior • Continuous technology innovation What does this mean?
- 4. • Increased complexity • More options of “what can go wrong” • Time is becoming even more rare resource • Far far away from our comfort zone What should we care?
- 5. Complexity? Bunch of cool features Mobile OS’s Devices OS’s Devices Configurations Browsers Devices Configurations Mobile OS’s Integration with dozens of platforms and applications
- 6. ”Entropy: lack of order or predictability; gradual decline into disorder.” What can go wrong?
- 7. Exhaustive testing is impossible
- 8. • It’s totally different from the way you used to work before • Challenges are always hard but we need to make them as less painful as possible • Only in motion is the future It’s time to change
- 9. We should start thinking not only about how to supplement quality at a certain point in time, but also how to ensure this level of quality is predictable and remains the same throughout the entire project lifecycle in spite of frequent changes and varying release timeframes. How to change?
- 10. Where to start? • Analyze existing process • Benchmark this process against industry standards (and common sense) • Create detailed plan on how to move from AS-IS to TO-BE • Synchronize expectations • For new projects experience design exercise is a must • Avoid surprises
- 11. • Identify risks and gaps • Create mitigation and contingency plans • Track and review risks • Plan your testing based on risks #1 Use risk-based approach
- 12. • Security • Performance • Usability • Maintainability, reliability, portability, etc. #2 Track non-functional characteristics
- 13. Main principles: • Right area for test automation • Appropriate tool • People with required skills • Understanding ROI #3 Use smart test automation
- 14. • Metrics that really make sense • Regularly check health of your projects (analyze numbers) • Use data for planning and potential risks identification #4 Start collecting and analyzing data
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