Speakers
- Craig Walls
- Venkat Subramaniam
- Matt Stine
- Brian Sletten
- Ken Sipe
- Nathaniel Schutta
- Pratik Patel
- Matthew McCullough
- Neal Ford
- Tim Berglund
- Peter Bell
- Kris Zyp
- Nicholas C. Zakas
- Andrew Wirick
- Chris Wilson
- James Williams
- Greg Wilkins
- Mike Wilcox
- Dustin Whittle
- Estelle Weyl
- Johnny Wey
- Eric Wendelin
- Rich Waters
- David Verba
- Tom Valletta
- Johannes Ullrich
- Tenni Theurer
- Etienne Studer
- Steve Souders
- Deryk Sinotte
- Scott Shattuck
- Bill Scott
- Matt Schmidt
- Dylan Schiemann
- Christian Schalk
- Brian Sam-Bodden
- Terry Ryan
- Alex Russell
- Rob Rusher
- Rick Ross
- Tom Robinson
- Torrey Rice
- Aza Raskin
- Nandini Ramani
- Matt Raible
- Vic Patterson
- Noah Paci
- Aaron Newton
- Mark Murphy
- Rebecca Murphey
- William Morris
- Eric Miraglia
- Eric Miller
- Steffen Meschkat
- Dustin Machi
- Kevin Lynch
- Andrew Lombardi
- Howard Lewis Ship
- Brian Leroux
- Nik Krimm
- Dave Klein
- Sean Kane
- Tim Kadlec
- Bruce Johnson
- Denise Jacobs
- Bob Ippolito
- Kevin Hoyt
- Molly Holzschlag
- Josh Holmes
- Mike Heath
- Erik Hatcher
- Patrick Haney
- Clint Hall
- Kevin Hakman
- Aaron Gustafson
- Arun Gupta
- Nate Grover
- Mike Girouard
- Jesse James Garrett
- Thomas Fuchs
- Jon Ferraiolo
- Szczepan Faber
- Cal Evans
- Ben Ellingson
- Nicholas Eddy
- Scott Dietzen
- Gabriel Dayley
- Luke Daley
- Patrick Chanezon
- David Chandler
- Ludovic Champenois
- Max Carlson
- Bob Byron
- Thomas Burleson
- Ryan Breen
- David Boloker
- David Bock
- Rey Bango
- Tom Ball
- Dan Allen
- Brad Abrams
Matt Stine
Enterprise Java/Cloud Consultant
Matt Stine is an Enterprise Java/Cloud consultant based in Memphis, TN. He is a twelve year veteran of the enterprise software and web development industries, with experience spanning the healthcare, biomedical research, e-commerce, and retail store domains.
Matt has spoken at conferences ranging from JavaOne to CodeMash and has published several articles for Agile Zone, GroovyMag and NFJS the Magazine, as well as the Selenium 2.0 DZone Refcard. Matt is also the founder of the Memphis/Mid-South Java User Group.
His current areas of interest include lean/agile software development, software architecture, mobile application development and functional languages.
Presentations
Executable Specifications: Automating Your Requirements Document with Geb and Spock
One of the hallmarks of lean software development is the elimination of waste. Several of the key wastes in software development revolve around incomplete, incorrect, or obsolete documentation, especially documentation of requirements. One effective means of ensuring that your requirements documentation is complete, correct, and up-to-date is to make it executable. That sounds nice, but how do we get it done, especially in the world of modern, cross-browser web applications?
Executable web application specifications are within your reach through the combination of Spock, a testing and specification framework written for the JVM in Groovy, and Geb, an elegant Groovy wrapper around the powerful WebDriver browser automation framework. In this session we'll take a close look at Spock specifications for describing and verifying the behavior of our applications. We'll then examine how we can use Geb's implementation of the Page Object pattern and its "jQuery-ish" API for interacting with our web applications in WebDriver's range of supported browsers. Finally, by gluing these two technologies together via Geb's Spock integration, we'll automate the requirements specification for a simple web app.
Selenium 2.0 Workshop - Part I: Hands-on Introduction to WebDriver and the Page Object Pattern
This focus of part one will be to introduce web developers and testers to the powerful WebDriver API that comes with the release of Selenium 2.0. In addition, we'll look at the differences found in WebDriver's API and architecture as compared to the classic Selenium 1.x, and demonstrate how we can gracefully migrate our test suites forward.
In this session you'll have an opportunity to build an automated test suite that will verify the behavior of a simple web application across multiple modern browsers. We'll start by recording and running tests within the Selenium IDE Firefox plugin. We'll then export our tests to Java JUnit tests and then leverage WebDriver's powerful support for the Page Object pattern, a mechanism for the separation of the orthogonal concerns of logical application functionality and DOM structure, to construct effective tests which read more like executable specifications than code.
By the end of the session we'll be reusing components developed in earlier tests to construct new ones, thus accelerating our capacity to grow our test suite.
Selenium 2.0 Workshop - Part II: Advanced Techniques, Mobile, Grid
This session builds on "Selenium 2.0 Workshop - Part I" by experimenting with some of the more advanced features of Selenium. We'll dig into WebDriver's new Advanced User Interactions API, which allows us to perform actions such as drag and drop or clicking multiple elements while holding down the Control key. We'll also look at Selenium 2.0's capabilities for testing mobile web applications on both the iOS and Android platforms.
Finally we'll parallelize our tests across a compute farm using TestNG and Selenium Grid.
Books
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List Price: $179.00
Price: $98.07
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This book will review work from a number of researchers who have produced open source software addressing the need for data management, integration, analysis, and visualization to aid cancer research. With the advent of high-throughput technologies in biomedicine, the need for data management and appropriate data analysis tools in genomics has increased dramatically, joining clinical trials data as a major driver of informatics at cancer research centers. The gathering of this data requires careful encoding of metadata, usually through the use of controlled vocabularies or ontologies, as well as the linking of data from model organisms, done at both a physiological level (e.g., anatomy) and at a molecular level (e.g., orthology). This data will then find use within computational and statistical models, which require data pipelines and analysis systems, as well as algorithms, visualization methods, and computational modeling systems. We will introduce open source tools available for these aspects of the problem. The editors plan to divide the book into five sections, beginning with a section containing high level overviews of the field and key issues. This will include an introductory review of informatics in cancer research, followed by five overviews addressing issues in authentication and authorization, data management, data pipelines and annotations, algorithms and models, and the NCI caBIG initiative. This will be followed by sections dedicated to data systems, data pipelines, algorithms for analysis and visualization, and modeling systems. Each of these areas has seen publication of open source tools, ranging from the widely known R/Bioconductor package to little known but powerful systems such as SImmune for biochemical modeling. The area of laboratory information management systems has seen development of a number of unpublished but powerful systems, which we would also include. Three groups have agreed to provide chapters in this area (USC/Norris CAFE extensible clinical trials system, St Jude Unified LIMS, Fox Chase/British Columbia flow cytometry LIMS). While there has been a great deal of development of informatics tools that can be applied to problems in cancer research, there has not been adequate dissemination of details on these tools to the community. As such, there remains low adoption of all but a few tools. This book aims to increase overall adoption of tools by providing cancer center leaders and researchers with a single volume detailing both issues that must be addressed and tools that are ready for use.
Price: $98.07
You Save: $80.93 (45%)
- This book will review work from a number of researchers who have produced open source software addressing the need for data management, integration, analysis, and visualization to aid cancer research. With the advent of high-throughput technologies in biomedicine, the need for data management and appropriate data analysis tools in genomics has increased dramatically, joining clinical trials data as a major driver of informatics at cancer research centers. The gathering of this data requires careful encoding of metadata, usually through the use of controlled vocabularies or ontologies, as well as the linking of data from model organisms, done at both a physiological level (e.g., anatomy) and at a molecular level (e.g., orthology). This data will then find use within computational and statistical models, which require data pipelines and analysis systems, as well as algorithms, visualization methods, and computational modeling systems. We will introduce open source tools available for these aspects of the problem. The editors plan to divide the book into five sections, beginning with a section containing high level overviews of the field and key issues. This will include an introductory review of informatics in cancer research, followed by five overviews addressing issues in authentication and authorization, data management, data pipelines and annotations, algorithms and models, and the NCI caBIG initiative. This will be followed by sections dedicated to data systems, data pipelines, algorithms for analysis and visualization, and modeling systems. Each of these areas has seen publication of open source tools, ranging from the widely known R/Bioconductor package to little known but powerful systems such as SImmune for biochemical modeling. The area of laboratory information management systems has seen development of a number of unpublished but powerful systems, which we would also include. Three groups have agreed to provide chapters in this area (USC/Norris CAFE extensible clinical trials system, St Jude Unified LIMS, Fox Chase/British Columbia flow cytometry LIMS). While there has been a great deal of development of informatics tools that can be applied to problems in cancer research, there has not been adequate dissemination of details on these tools to the community. As such, there remains low adoption of all but a few tools. This book aims to increase overall adoption of tools by providing cancer center leaders and researchers with a single volume detailing both issues that must be addressed and tools that are ready for use.