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1. Top practices
2. Top challenges
3. AI in QA
4. Future trends
The State of Software Quality Report
3,800+
quality engineers participated in this survey
10+
in-dept industry expert interviews
What’s in the report?
- Latest trends in testing worldwide
- Expert's recommendation to overcome QA challenges
- Future state of AI in testing
SEE SNEAK PEEK
01. Most effective practices for QAs
Test automation is deemed the most effective, yet lesser-used practices like behavior-driven and test-driven development are also highly valued for their efficacy.
69%
Automated Integration,
System Testing
66%
Automated
Unit Testing
66%
Behaviour-driven
Development
02. Another year, same challenges
The lack of time and skilled resources are again cited as the top challenges in achieving quality goals.
2022
2023
2024
39%
39%
48%
Lack of time to ensure quality
36%
33%
34%
Applying test automation
46%
21%
34%
Frequent changes in requirements
35%
19%
34%
Lack of experienced and skilled resources
20%
20%
24%
Lack of mature tools/ technology
03. AI in QA:
Hype vs Reality
“We expect AI-augmented tools to primarily tackle time‑consuming tasks within QA activities, specifically in test generation, integration, and maintenance.”
Antoine Craske,
CIO/CTO at Grupo Lusiave, QE Unit Founder
Main obstacles in adopting AI to QA activities
Lack of capable Al tools
Security and privacy concerns
Lack of skilled resources
Unreliable Al tools
Other
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
04. High expectations for AI adoption
47%
of participants aiming to integrate AI into QA processes, as their main objective for QA
58%
of managers and senior management picked integration of AI into QA processes as the key goal in the coming years
Despite the obstacles in adopting AI for QA activities, the survey shows that respondents hope to utilize AI for various aspects of QA. The generation of test cases for manual testing is seen as most anticipated application, with 52%
ON-DEMAND WEBINAR
The Future of Testing: A Roundtable Discussion on AI and Automation
Worldwide experts' QA advices, AI forecasters and more
