books by subject
Software Testing
Clean Code: A Handbook of Agile Software Craftsmanship (Robert C. Martin) (Robert C. Martin Series)
Agile Testing: A Practical Guide for Testers and Agile Teams (Addison-Wesley Signature) (Addison-Wesley Signature Series (Cohn))
Applied Multidimensional Scaling and Unfolding (SpringerBriefs in Statistics)
The Art of Unit Testing: with examples in C#
Testing Microservices with Mountebank
The Basics of Hacking and Penetration Testing: Ethical Hacking and Penetration Testing Made Easy
Penetration Testing: A Hands-On Introduction to Hacking
Kali Linux Wireless Penetration Testing: Beginner's Guide
GCSE 9-1 Computer Science Exam Practice Workbook, with Practice Test Paper (Letts GCSE 9-1 Revision Success)
Testing IT: An Off-the-Shelf Software Testing Process
Testing Java Microservices
Mockito for Spring
Software Requirements (Best Practices)
Modern C++ Programming with Test-Driven Development: Code Better, Sleep Better
Integrated Test Design & Automation:Using the TestFrame method
Software Testing: An ISTQB-ISEB Foundation Guide
Testing Series: The Numeracy Test Workbook
The Craft of Software Testing: Subsystems Testing Including Object-Based and Object-Oriented Testing (Prentice Hall Series in Innovative Technology)
Everyday Scripting with Ruby: For Teams, Testers, and You
Software Inspection
Pragmatic Unit Testing in Java with Junit
Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation (Addison-Wesley Signature Series (Fowler))
Effective Software Testing: 50 Specific Ways to Improve Your Testing
Java Testing and Design: From Unit Testing to Automated Web Tests
Rapid Testing (Software Quality Institute)
Software Testing and Continuous Quality Improvement
Automated Software Testing: Introduction, Management, and Performance: Introduction, Management, and Performance
Theory and Applications of Satisfiability Testing – SAT 2017: 20th International Conference, Melbourne, VIC, Australia, August 28 – September 1, 2017, ... (Lecture Notes in Computer Science, 10491)
Practical Data Science with R
