Torrent details for "Bittla S. AI-Driven Software Testing. Transforming...with AI and…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
22.9 MB
Info Hash:
7563DD9E16F7A4DBD1ACE7E32EA9CE352C4FBE0F
Added By:
Added:
Oct. 25, 2025, 10:40 a.m.
Stats:
|
(Last updated: Oct. 25, 2025, 10:42 a.m.)
| File | Size |
|---|---|
| Bittla S. AI-Driven Software Testing. Transforming...with AI and ML 2025.pdf | 22.9 MB |
Name
DL
Uploader
Size
S/L
Added
-
22.9 MB
[56
/
15]
2025-10-25
| Uploaded by andryold1 | Size 22.9 MB | Health [ 56 /15 ] | Added 2025-10-25 |
NOTE
SOURCE: Bittla S. AI-Driven Software Testing. Transforming...with AI and ML 2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format Explore how AI/ML transforms software testing, boosting accuracy, speed, and scalability. Utilize AI/ML for instant defect detection, root cause analysis, and proactive issue resolution. Learn to optimize test environments, CI/CD pipelines, and predictive analytics for AI-driven. AI-Driven Software Testing explores how Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing quality engineering (QE), making testing more intelligent, efficient, and adaptive. The book begins by examining the critical role of QE in modern software development and the paradigm shift introduced by AI/ML. It traces the evolution of software testing, from manual approaches to AI-powered automation, highlighting key innovations that enhance accuracy, speed, and scalability. Readers will gain a deep understanding of quality engineering in the age of AI, comparing traditional and AI-driven testing methodologies to uncover their advantages and challenges. Moving into practical applications, the book delves into AI-enhanced test planning, execution, and defect management. It explores AI-driven test case development, intelligent test environments, and real-time monitoring techniques that streamline the testing lifecycle. Additionally, it covers AI’s impact on continuous integration and delivery (CI/CD), predictive analytics for failure prevention, and strategies for scaling AI-driven testing across cloud platforms. Finally, it looks ahead to the future of AI in software testing, discussing emerging trends, ethical considerations, and the evolving role of QE professionals in an AI-first world. With real-world case studies and actionable insights, AI-Driven Software Testing is an essential guide for QE engineers, developers, and tech leaders looking to harness AI for smarter, faster, and more reliable software testing. What you will learn: - What are the key principles of AI/ML-driven quality engineering. - What is intelligent test case generation and adaptive test automation. - Explore predictive analytics for defect prevention and risk assessment. - Understand integration of AI/ML tools in CI/CD pipelines. Who this book is for: Quality Engineers looking to enhance software testing with AI-driven techniques. Data Scientists exploring AI applications in software quality assurance and engineering. Software Developers – Engineers seeking to integrate AI/ML into testing and automation workflows
×