Current Trends in Quality Engineering & Testing – World Quality Report Analysis

The World Quality Report by Capgemini presents a thorough analysis of the landscape of quality engineering and testing and highlight some critical insights from a survey of 1,750 executives across various industries globally. This 14th edition of the report emphasizes the necessity for organizations to shift from traditional quality assurance to a more comprehensive quality engineering. The findings reveal the increasing importance of Agile, intelligent automation and value stream management for delivering positive business outcomes. As digital transformation continues, organizations need to focus on enhancing their quality processes by integrating advanced technologies such as AI and machine learning and create a sustainable IT environment. Let’s look at some key insights from this report.

Key Data Points:

Given below are some key data points and a summary of this report.

1. A notable finding from surveys indicates that a significant majority—over 82%—of organizations see quality engineering as critical to addressing the social dimensions of sustainability within IT and 72% believe it contributes to environmental goals

2. Quality assurance (QA) in Agile is important to maintain quality and reliability. Agile QA helps to ensure the 2 most important quality objectives for the Agile enterprise, ensuring excellent customer experience and achieving business outcomes.

3. The top 4 areas which improved since organization adopted agile/DevOps are – On time delivery (64%), Improved Predictability (63%), Reduced cost of quality (62%) & Improved customer experience (61%)

4. Regarding the most predominant quality and test approaches, the majority of teams (65%) use package-specific tools for automation, 63% of teams use a pre-built test case repository for certifying a sprint, and 61% of teams have testing integrated as automatic quality gates in the CI/CD pipeline.

5. The top 4 QA skills when executing a successful Agile development program are –  Cross functional skills (63%), Business domain knowledge (61%) Observability and monitoring skills (60%), & Performance, SRE, security skills (58%)

6. When asked about what proportion of their agile teams are professional quality engineers, most IT organizations have <30%  quality engineers within their Agile teams. While 28% of organizations have 36–45% quality engineers, 20% have 16–25% of quality engineers within the Agile teams.

7. The top 5 most important factors in determining test automation approach are –  Maintainability (46%), Business needs (44%), New technology (43%), Ease of use (39%) & People/skills (34%)

8. When asked about the key stages of the testing cycle they currently realize the most benefit from test automation, Development (48%) Requirements (47%) Functional testing (46%) & Integration testing (45%) are the top 4 stages

9. Around 49% of organizations have more than 50% of their non-production environments on cloud

10. Regarding the cloud platform strategy for the provisioning of non-production environments, 44% organizations currently use a hybrid (on-premises plus single cloud provider) environments strategy & around 38% have a multi-cloud strategy in place

11. For the tools to automate end-to-end non-production environment provisioning, 41% use a hybrid tooling strategy with a mix of commercial off-the-shelf tool along with open-source options, 32% use enterprise-wide commercial tools followed by Open-source (29%) & In-house and supplier-built (28%)

12. Discussing about the effectiveness, 50% of the respondents mentioned that their  cloud testing strategy is only somewhat effective, while 37% of the respondents mentioned that it is moderately effective & 12% said it is slightly effective

13. When questioned about the expected benefits of data validation, 89% said that a robust data validation capability will not only improve efficiencies in terms of time and resources but also help to improve business decision-making

14. The top 3 challenges in implementing an effective data validation for your organization are – Multiple databases (47%), Outdated data (45%) & Too time-consuming (42%)

15. Finally, 85% of respondents picked blockchain and Web 3.0 as a priority for their IT strategy. Also, blockchain, cybersecurity & cloud computing are listed as the top 3 skill areas most important for testing new and emerging technologies.

Conclusion

The effectiveness of test automation in contemporary IT environments depends on several critical factors, particularly the use of Agile practices within teams. Continuous improvement in automation processes is paramount as the interconnected and cloud-driven structure of technology today prevents teams from identifying every element of their solutions. This research revealed that organizations with robust Agile methodologies tend to reap more substantial rewards. Despite the richness of available resources, the industry’s perception and knowledge of Agile often falls short of expectations. To learn the concepts of Agile in more detail with the help of real life examples, you can check out this PMP training program. You can also download the full report by Capgemini here.

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