Karl Krukow discusses the importance of automated functional testing of native mobile applications, suggesting using Calabash –a Cucumber-like tool- and LessPainful –an online testing service-.
Baruch Sadogursky demonstrates automated building techniques using Maven/Gradle/Custom scripts and Binary Repository along with common pitfalls that are to be avoided.
Roberto Salama presents a regression testing framework built at Morgan Stanley with FitNesse, Scala, and KDB/Q, and used to run over 10,000 regression tests.
Antoni Batchelli introduces Pallet, a devops platform for the JVM for provisioning and configuring servers, configuring clustered services, deploying and managing software, servers and services.
Jinesh Varia discusses automating continuous integration, continuous deployment and continuous optimization in the context of using cloud computing services.
Markus Püschel proposes to solve scientific calculation performance problems with code generation tools, introducing Spiral, an automatic performance programming framework for linear transforms.
Heath Borders introduces several testing tools for iOS - OCUnit, Google Toolbox for Mac (GTM), GHUnit, UISpec, UIAutomation, OCMock – making some recommendations on which is better.
Ryan Slobojan discusses how to perform issue tracking, code review, commits and builds in an automated manner by integrating Git, Gerrit, Hudson and Mylyn.
Chris Read describes a situation where they had to gradually reorganize a development process standardizing the build and deployment scripts, adding CI, automating everything, staging the binaries.
David Starr demoes Pex –a parameterized white box unit test tool- and Moles –an isolation framework-, two .NET tools useful for test-first development.
Terence Parr discusses using automation tools including DSLs to automate the software creation process as much as possible in order to increase output, effectiveness, correctness and velocity.
Ulf Wiger discusses the importance of automated testing along with some lessons learned at Ericsson, including using randomized and extensive testing, aiming to achieve system robustness.