The sixteenth edition of the World Quality Report (WQR), developed by OpenText in collaboration with Capgemini and Sogeti, highlights how the adoption of Generative Artificial Intelligence (Gen AI) is transforming Quality Engineering (QE) globally. This report, which surveyed 1,775 executives in 33 countries, shows a profound shift in software testing and development practices, with 68% of organizations either using or planning to implement Gen AI to improve their QE processes.
Key trends in Quality Engineering
The WQR 2024 emphasizes that Gen AI has become a key tool in test automation, enabling faster and more efficient processes. 72% of respondents say that integrating Gen AI has sped up automation times, optimizing script creation and test data generation. This technology allows quality engineers to focus on higher value-added tasks, thereby increasing overall development team productivity.
New skills and challenges in AI adoption
The move towards using AI has expanded the traditional skills of quality engineers to include knowledge in Gen AI, agile development, and cross-functional collaboration. However, the report highlights that only 50% of organizations are monitoring the effectiveness of training programs, representing an area for improvement to maximize the potential of QE teams.
Impact of legacy systems and sustainability on QE
Despite advancements in automation, 57% of companies still face barriers due to reliance on legacy systems, hindering the modernization of their testing environments. In terms of sustainability, while 98% of companies acknowledge its importance, only 25% measure the environmental impact of their technological developments. This presents an opportunity for organizations to implement Green IT strategies and promote sustainability practices in their software development cycles.
Outlook for the future
The findings of the WQR 2024 urge organizations to align their QE metrics with business objectives, strengthening the strategic perception of quality in businesses. By adopting emerging technologies like Gen AI and improving training programs, companies can not only enhance their efficiency but also contribute to a more sustainable and resilient digital ecosystem.
Source: Report from OpenText [Link: Informe OpenText]