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State of Software Quality

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3000+ quality engineers participated in this survey
3000+ quality engineers participated in this survey
This year, we gathered insights from 3000+ QA teams to bring you a full picture of software quality landscape in 2023 - with the exclusive partnership of Cigniti and Deloitte. Our 2023 edition covers:
  • Best-in-class QA priorities, practices and techniques
  • How teams increase test automation ROI and satisfaction
  • Top AI-enabled capabilities and opportunities in software testing

State of Software Quality

This year, we gathered insights from 3000+ QA teams to bring you a full picture of software quality landscape in 2023 - with the exclusive partnership of Cigniti and Deloitte. Our 2023 edition covers:
  • Best-in-class QA priorities, practices and techniques
  • How teams increase test automation ROI and satisfaction
  • Top AI-enabled capabilities and opportunities in software testing
Get the full report
3000+ quality engineers participated in this survey
3000+ quality engineers participated in this survey
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Software Quality Report 2023

A balance among speed, quality, and cost

In today's fast-paced environment of software development, the top priority for QA teams is striking a balance between speed, quality, and cost to adapt with continuous delivery, rapid software release cycles, and rising customer demands.
A balance among speed, quality, and costA balance among speed, quality, and cost
0%
Low cost
0%
A balance between speed, quality, and cost
0%
High speed of delivery
0%
High software quality
Top priorities for QA teams

The earlier teams adopt test automation, the higher the payoff 

Powerful QA platforms available today can significantly reduce upfront investments, effectively allowing teams to realize the benefits of automation faster.
Our survey shows that 79% of respondents saw an increase in cost savings after applying test automation.
ROI of test automation in terms of cost savings
AI has great potential for test automationAI has great potential for test automation
19%
Intelligent test management
20%
Test planning and scheduling
27%
Test optimization and prioritization
24%
Automated defect/ bug correction
25%
Automated defect/ bug detection
34%
Automated test data generation
Top AI-augmented capabilities used in automation tools

AI has great potential for test automation

Although AI is still in its infancy in software testing, AI-augmented testing solutions show great potential for software quality with a wide adoption of advanced test automation capabilities.
These capabilities range from autonomous test cases, scripts, and data generation, to bug detection and fixes, test suite optimization, test evaluation and reporting.
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State of Software Quality throughout the years