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Agile Principles, Patterns, and Practices in C# by Robert C. Martin, Micah Martin

By Robert C. Martin, Micah Martin

With the award-winning ebook Agile software program improvement: rules, styles, and Practices, Robert C. Martin helped convey Agile rules to tens of millions of Java and C++ programmers. Now .NET programmers have a definitive consultant to agile equipment with this thoroughly up-to-date quantity from Robert C. Martin and Micah Martin, Agile ideas, styles, and Practices in C#.

This ebook offers a sequence of case reports illustrating the basics of Agile improvement and Agile layout, and strikes fast from UML versions to actual C# code. The introductory chapters lay out the fundamentals of the agile move, whereas the later chapters convey confirmed suggestions in motion. The booklet contains many resource code examples which are additionally on hand for obtain from the authors’ net site.

Readers will come clear of this booklet understanding
* Agile ideas, and the fourteen practices of maximum Programming
* Spiking, splitting, pace, and making plans iterations and releases
* Test-driven improvement, test-first layout, and recognition testing
* Refactoring with unit testing
* Pair programming
* Agile layout and layout smells
* The 5 varieties of UML diagrams and the way to exploit them effectively
* Object-oriented package deal layout and layout patterns
* how you can positioned it all jointly for a real-world project

Whether you're a C# programmer or a visible easy or Java programmer studying C#, a software program improvement supervisor, or a company analyst, Agile ideas, styles, and Practices in C# is the 1st ebook you need to learn to appreciate agile software program and the way it applies to programming within the .NET Framework.

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Additional resources for Agile Principles, Patterns, and Practices in C#

Example text

Spiking, Splitting, and Velocity Stories that are too large or too small are difficult to estimate. Developers tend to underestimate large stories and overestimate small ones. Any story that is too big should be split into pieces that aren't too big. Any story that is too small should be merged with other small stories. " This is a big story. Estimating will be difficult, and probably inaccurate. However, we can split it into many stories that are much easier to estimate: Users can log in. Users can log out.

If tasks remain, the developers negotiate with each other, trading tasks, based on their various skills. If this doesn't make enough room to get all the tasks assigned, the developers ask the customers to remove tasks or stories from the iteration. If all the tasks are signed up and the developers still have room in their budgets for more work, they ask the customers for more stories. Half way through the iteration, the team holds a meeting. At this point, half of the stories scheduled for the iteration should be complete.

When the buffer was full, we'd swap the program out to disk. When the buffer got close to empty, we'd swap the program back in and let it run some more. We spoke about this system in terms of dump trucks hauling garbage. The buffers were little trucks. The display screen was the dump. The program was the garbage producer. The names all fit together and helped us think about the system as a whole. As another example, I once worked on a system that analyzed network traffic. Every 30 minutes, it polled dozens of network adapters and pulled down the monitoring data from them.

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