Book Image

Software Testing Strategies

By : Matthew Heusser, Michael Larsen
Book Image

Software Testing Strategies

By: Matthew Heusser, Michael Larsen

Overview of this book

Software Testing Strategies covers a wide range of topics in the field of software testing, providing practical insights and strategies for professionals at every level. With equal emphasis on theoretical knowledge and practical application, this book is a valuable resource for programmers, testers, and anyone involved in software development. The first part delves into the fundamentals of software testing, teaching you about test design, tooling, and automation. The chapters help you get to grips with specialized testing areas, including security, internationalization, accessibility, and performance. The second part focuses on the integration of testing into the broader software delivery process, exploring different delivery models and puzzle pieces contributing to effective testing. You’ll discover how to craft your own test strategies and learn about lean approaches to software testing for optimizing processes. The final part goes beyond technicalities, addressing the broader context of testing. The chapters cover case studies, experience reports, and testing responsibilities, and discuss the philosophy and ethics of software testing. By the end of this book, you’ll be equipped to elevate your testing game and ensure software quality, and have an indispensable guide to the ever-evolving landscape of software quality assurance.
Table of Contents (22 chapters)
1
Part 1:The Practice of Software Testing
9
Part 2:Testing and Software Delivery
14
Part 3:Practicing Politics

Leveraging production refreshes

Sometimes, the work isn’t user-interface-driven at all. Data processing groups often create reports or transactions (such as processing an insurance claim), or simply move data from one system to another, including ETL work. Insurance companies, banks, ERP software developers, and survey companies have this as their main business. Anyone doing fraud detection, distilling data, or carrying out data mining may also do this sort of work.

In that case, the company may want to simulate the production environment by copying data for the live server. Typically, this is done on some sort of schedule, such as every quarter, or with some slice of live data. This ensures the team is looking at the actual data, often in massive volumes.

Then again, imagine having a private medical issue and realizing that someone at your company in testing might be looking at your data. Or even someone viewing your bank account information or your credit score. In recent...