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Key highlights
1. Top practices
2. Top challenges
3. AI in QE
4. Future trends
The State of Software Quality Report
SCROLL DOWN
Here are some of
the key highlights
01
Most effective practices for QEs
03
AI in QE
Hype vs Reality
Hype vs Reality
02
Another year, same challenges
04
Key trends in
AI adoption for QE
AI adoption for QE
The report provides a comprehensive overview of the current state of software quality, showcasing the challenges, innovations, and practices shaping the industry.
01. Most effective practices for QEs
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.
0%
Automated Integration,
System Testing
0%
Automated
Unit Testing
0%
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 QE:
Hype vs Reality
“We expect AI-augmented tools to primarily tackle time‑consuming tasks within QE activities, specifically in test generation, integration, and maintenance.”
Antoine Craske,
CIO/CTO at Grupo Lusiave, QE Unit Founder
Main obstacles in adopting AI to QE 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
0%
of participants aiming to integrate AI into QE processes, as their main objective for QE
0%
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 QE activities, the survey shows that respondents hope to utilize AI for various aspects of QE. The generation of test cases for manual testing is seen as most anticipated application, with 52%
