In today's dynamic mobile marketplace—where new handsets and mobile operating systems are released every day—your ability to deal with these changes which impact your mobile product is vital. The mobile application lifecycle today must be short; must be of great quality; cover...

Test planning is often thought unnecessary in an agile project. However, if our mindset is on "planning" rather than "plans," we see that test-planning activities happen throughout the project, taking advantage of levels of precision, i.e., what is absolutely necessary at each level.

We've all been there. You work incredibly hard to develop a feature and design tests based on written requirements. You build a detailed test plan that aligns the tests with the software and the documented business needs. When you put the tests to the software, it all falls apart because the requirements were updated without informing everyone. But help is at hand. Enter business-driven development and Cucumber, a tool for running automated acceptance tests. Join Mary Thorn as she explores the nuances of Cucumber and shows you how to implement specification-by-example, behavior-driven development, and agile acceptance testing. By fostering collaboration for implementing active requirements via a common language and format, Cucumber bridges the communication gap between business stakeholders and implementation teams.

Mock objects are simulated objects that mimic the behavior of real objects in controlled ways. Because many code modules interact with external entities-things like databases, networks, file systems, third-party frameworks, and even the clock-these entities often cause us big-time trouble during unit testing. These entities can slow down our unit tests, produce unpredictable results, and have dangerous side effects. The best unit tests are decoupled from these external entities. Rather than try to control the entities, you can create mock objects to simulate their functionality. With a tangible example in the form of a short play, Rob Myers introduces mock objects and provides a brief history of their "relatives"-stubs and fakes. Then, with an animated, nearly-worst-case example, Rob presents code he developed to "mock out" nasty dependencies and create safe, predictable unit tests.