The testing of services, particularly in a repeatable fashion that can be used as ongoing regression testing, has its own particular challenges, but none of them is insurmountable. The methods presented here are a solid starting point, and could be elaborated on in as much detail as required to meet almost any testing requirements. That said, these are reasonably complete, and easily managed/maintained should new testing requirements surface, whether through the discovery and correction of bugs, or the advent of new functional requirements that have to be reflected in tests.
Hands-On Software Engineering with Python
By :
Hands-On Software Engineering with Python
By:
Overview of this book
Software Engineering is about more than just writing code—it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project. Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle. This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects. You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python. Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked. Finally, the book will implement a high-performance computing solution, from first principles through complete foundation.
Related Content you might be interested in
Current Title:
Hands-On Software Engineering with Python
No titles found
Table of Contents (21 chapters)
Preface
Free Chapter
Programming versus Software Engineering
The Software Development Life Cycle
System Modeling
Methodologies, Paradigms, and Practices
The hms_sys System Project
Development Tools and Best Practices
Setting Up Projects and Processes
Creating Business Objects
Testing Business Objects
Thinking About Business Object Data Persistence
Data Persistence and BaseDataObject
Persisting Object Data to Files
Persisting Data to a Database
Testing Data Persistence
Anatomy of a Service
The Artisan Gateway Service
Handling Service Transactions
Testing and Deploying Services
Multiprocessing and HPC in Python
Other Books You May Enjoy
Customer Reviews