Amplify - TDD on Android with Robolectric
•
1 like•1,082 views
This document discusses the benefits of unit testing Android applications using Robolectric. It recommends writing tests first before coding using a test-driven development approach. Robolectric allows writing unit tests that run on the JVM rather than an emulator, speeding up test runs. The author's company Amplify uses Robolectric to unit test their Android apps, with over 4,500 tests across repositories. Migrating to the latest Robolectric version took 3 weeks but was worthwhile for increased testability. Other tools like RoboGuice, Mockito, and Android FEST are also used for testing.
Report
Share
Report
Share
Download to read offline
Recommended
Survival of the Continuist
A deep dive into Jenkins Continuos Integration, how you can enable your team to collaborate more, run tests and configure the robots to do all the things for you. Also talking about caveats around automation, testing on real devices, usb hub woes and more.
Automation using RobotFramework for embedded device
In this talk at #rootconf 2014, Sriram talks about his experience in designing an internal test automation framework. He also shares his experience and insights in using Robot framework for KDT and DDT test automation.
Robot Framework with actual robot
Does Robot Framework work on hardware too? Well yes indeed! Here are Sakari's slides from DevOps Finland meetup on November 2nd, 2015.
ATDD Using Robot Framework
Acceptance Test Driven Development (ATDD) uses examples and tests to guide development. Robot Framework is an open source test automation framework that supports the ATDD process and approach. It uses a tabular syntax to define executable tests and keywords in a simple, readable format and has a rich ecosystem of support libraries and tools.
Terratest with Terraform
The document is a presentation about testing Terraform configurations with Terratest. It introduces Terraform as infrastructure as code tool and Terratest as a Go library for testing Terraform configurations. The key points covered are:
- Terraform allows building, changing and versioning infrastructure safely and efficiently through infrastructure as code
- Terratest enables writing tests in Go to validate infrastructure deployed by Terraform configurations and orchestrate test stages
- The demo will show setting up Terraform and Terratest environments and running a sample test
JavaCro'14 - Test Automation using RobotFramework Libraries – Stojan Peshov
JavaCro'14 - Test Automation using RobotFramework Libraries – Stojan PeshovHUJAK - Hrvatska udruga Java korisnika / Croatian Java User Association
Brief introduction to Test Automation Frameworks, Acceptance Testing and ATTD using Testerone – custom made solution based on RobotFramework and it’s extensive libraries for Selenium’s and AutoIT’s support.
Bring the test cases closer to business people, leave the technical stuff to technical staff using simple business-to-tech excel sheet (map) for collaboration. Complete the solution by controlling everything using Jenkins CI server.Barcamp Bangkhen :: Robot Framework
This document provides an introduction to Robot Framework, an open source test automation framework for acceptance testing. It discusses Robot Framework's architecture, installation process, test structure, standard and external libraries, Selenium keywords, and provides a demo of creating a simple test case with Robot Framework.
GTAC 2015
This document summarizes key points from a GTAC 2015 conference in Boston on software testing. It discusses the speaker's background and details of the conference, including attendance numbers from various countries and the number of talks. The document then summarizes several talks on testing experience and tools. Common insights emphasized automation and speed. Testing strategies discussed included setting goals, transparency, and prioritizing automation. Specific tools mentioned include Octopus, Monkey, Diffy, Applitools Eyes, Flashback, and RpcReplay. The document concludes with additional testing thoughts and a question/answer section.
Recommended
Survival of the Continuist
A deep dive into Jenkins Continuos Integration, how you can enable your team to collaborate more, run tests and configure the robots to do all the things for you. Also talking about caveats around automation, testing on real devices, usb hub woes and more.
Automation using RobotFramework for embedded device
In this talk at #rootconf 2014, Sriram talks about his experience in designing an internal test automation framework. He also shares his experience and insights in using Robot framework for KDT and DDT test automation.
Robot Framework with actual robot
Does Robot Framework work on hardware too? Well yes indeed! Here are Sakari's slides from DevOps Finland meetup on November 2nd, 2015.
ATDD Using Robot Framework
Acceptance Test Driven Development (ATDD) uses examples and tests to guide development. Robot Framework is an open source test automation framework that supports the ATDD process and approach. It uses a tabular syntax to define executable tests and keywords in a simple, readable format and has a rich ecosystem of support libraries and tools.
Terratest with Terraform
The document is a presentation about testing Terraform configurations with Terratest. It introduces Terraform as infrastructure as code tool and Terratest as a Go library for testing Terraform configurations. The key points covered are:
- Terraform allows building, changing and versioning infrastructure safely and efficiently through infrastructure as code
- Terratest enables writing tests in Go to validate infrastructure deployed by Terraform configurations and orchestrate test stages
- The demo will show setting up Terraform and Terratest environments and running a sample test
JavaCro'14 - Test Automation using RobotFramework Libraries – Stojan Peshov
JavaCro'14 - Test Automation using RobotFramework Libraries – Stojan PeshovHUJAK - Hrvatska udruga Java korisnika / Croatian Java User Association
Brief introduction to Test Automation Frameworks, Acceptance Testing and ATTD using Testerone – custom made solution based on RobotFramework and it’s extensive libraries for Selenium’s and AutoIT’s support.
Bring the test cases closer to business people, leave the technical stuff to technical staff using simple business-to-tech excel sheet (map) for collaboration. Complete the solution by controlling everything using Jenkins CI server.Barcamp Bangkhen :: Robot Framework
This document provides an introduction to Robot Framework, an open source test automation framework for acceptance testing. It discusses Robot Framework's architecture, installation process, test structure, standard and external libraries, Selenium keywords, and provides a demo of creating a simple test case with Robot Framework.
GTAC 2015
This document summarizes key points from a GTAC 2015 conference in Boston on software testing. It discusses the speaker's background and details of the conference, including attendance numbers from various countries and the number of talks. The document then summarizes several talks on testing experience and tools. Common insights emphasized automation and speed. Testing strategies discussed included setting goals, transparency, and prioritizing automation. Specific tools mentioned include Octopus, Monkey, Diffy, Applitools Eyes, Flashback, and RpcReplay. The document concludes with additional testing thoughts and a question/answer section.
Extreme Programming - to the next-level
This document discusses taking extreme programming principles to the next level by turning traditional practices "up to 11". It explores several ideas for achieving faster feedback including mob programming, continuous deployment, hypothesis-driven user stories, shared product ownership, monitoring-driven development, and continuous learning. The author asks the reader to consider which ideas may work to implement in their organization this month.
Fast end-to-end-tests
This document summarizes Lars Thorup's presentation on fast end-to-end tests. It discusses the drawbacks of traditional end-to-end tests like being slow, imprecise, complicated and fragile. Unit tests are faster but rely on mocked dependencies. The presentation demonstrates a way to automatically generate mocks to test applications from end-to-end very quickly while avoiding the downsides of mocks. The demo shows a Node.js app with front-end and back-end tested at almost 100 end-to-end tests per second.
Robot framework - Lord of the Rings
Robot Framework - Lord of the Rings
Introduction to the Robot Framework for Acceptance Test automation, and hands on examples, highlighting the key features. To catch the demo's, drop me a note at my email id.
Introduction to Automated Testing
Learn about the benefits of writing unit tests. You will spend less time fixing bugs and you will get a better design for your software. Some of the questions answered are:
Why should I, as a developer, write tests?
How can I improve the software design by writing tests?
How can I save time, by spending time writing tests?
When should I write unit tests and when should I write system tests?
Introduction to Spock: A Unit Testing Framework
When it comes to true unit tests, having a mocking framework such as Spock for Java is essential. Using a mocking framework ensures that your unit tests are fast, self-contained, and deterministic. A mocking framework can help you fake external systems, pre-program your classes with expected responses, and test hard-to-replicate error conditions.
In this, we will cover the Spock testing framework, an emerging framework that can be used to test both Java and Groovy code. Unlike Mockito, Spock is a complete testing framework that can function on its own (Mockito works in addition to JUnit).
You’ll understand:
~ How Spock tests leverage existing JUnit infrastructure
~ Spock annotations and where they apply
~ Spock mocks and stubs and how to take advantage of them
And you’ll be able to:
~ Set up test fixtures
~ Run testing methods before and after tests and test classes
~ Mock classes and interfaces set expectations, and validate them
Robot Framework : Lord of the Rings By Asheesh M
Learn how you can use the RobotFX for Acceptance Testing / Behavior Driven development / Integration Testing. Learn about the advanced keyword driven framework, and the ability to create reusable/custom higher-level keywords. Learn about the integration across multiple tools and extensibility.
Android TDD
A discussion about unit testing strategies and test-driven development on the Android platform including:
* Unit Testing & TDD Overview
* Android Testing Framework
* JUnit 4 + POJO Library
* Robolectric
Rentv
This document discusses various development topics including:
1. REN TV is an online TV service in Russia that was developed using Ruby on Rails.
2. Different types of testing are mentioned such as BDD, TDD, CI, ADD, and DDD. However, some of these acronyms have alternate meanings than software development terms.
3. Challenges with testing are outlined including not being able to test everything, risks of race conditions, and tests containing errors themselves.
Introduction to Robot Framework
This document provides instructions for installing and setting up the Robot Framework for acceptance testing and acceptance-test driven development. It discusses installing Python, pip, Robot Framework, and Selenium libraries. It also covers test structure, standard and external Robot Framework libraries, Selenium keywords, creating simple tests, running tests, and handling proxies. The document aims to help users create test cases with Robot Framework to test websites like Google, login pages, and todo applications.
TestWorks Conf Robot framework - the unsung hero of test automation - Michael...
The Robot Framework is a generic test automation framework for acceptance test-driven development, that appears to be largely neglected.
Undeservedly so, as it facilitates powerful and yet simple test automation against a variety of interfaces.
It features some distinct advantages when compared to seemingly similar frameworks such as Cucumber or Fitnesse.
This workshop is meant to show you what makes the Robot Framework special and what is has to offer you.
JaSST'18 Hokkaido Improve Automation Testing
This document discusses improving automation testing speed at Rakuten. It describes how the author's team previously faced bottlenecks like long setup times and late test feedback. They created a "Mobile Labo" solution using Appium and Selenium to run tests concurrently on multiple devices from a single script. This sped up testing significantly. However, new issues emerged around device clashes and locating devices. The author aims to resolve such problems to further improve speed in the future.
Acceptance Test Drive Development with Robot Framework
Robot Framework are Python based automation testing tool. I am using Robot Framework as acceptance test tool during development process, so that each git commit I made RF will test it automatically for me.
Automated Performance Testing
If you are like most test driven developers, you write automated tests for your software to get fast feedback about potential problems. Most of the tests you write will verify the functional behaviour of the software: When we call this function or press this button, the expected result is that value or that message.
But what about the non-functional behaviour, such as performance: When we perform this query the expected speed of getting results should be no more than that many milliseconds. It is important to be able to write automated performance tests as well, because they can give us early feedback about potential performance problems. But expected performance is not as clear-cut as expected results. Expected results are either correct or wrong. Expected performance is more like a threshold: If the performance is worse than this, we want the test to fail.
Introduction to Robot Framework – Exove
Robot Framework is an open source test automation framework that can be used to test web, desktop, and mobile applications. It uses a keyword-driven design and has a modular architecture that makes it easy to extend with custom test libraries. Some benefits include being highly reusable, accessible for beginners, and having powerful logging capabilities. However, it does not support while loops or nested for loops, and working with non-string data types can be complicated. The framework operates independently of the system under test and uses test suites made up of test cases that can each be in their own namespace. Custom keywords, variables, and extensions are usually stored separately.
Ruin your life using robot framework
This document discusses best practices and pitfalls when using the Robot Framework for test automation. It recommends starting with acceptance test-driven development (ATDD) and using source control and continuous integration. Other tips include giving tests and elements descriptive names, writing test cases as independent steps with single assertions, avoiding dependencies between tests, and focusing on behavior rather than implementation details. The document warns against not using these practices as they can lead to fragile and unreliable tests, wasted time and resources, and regressions going unnoticed.
Robot Framework Introduction
Robot Framework is a generic test automation framework for keyword-driven testing. It is implemented with Python and runs on Jython and IronPython as well. It supports test data driven development and has built-in support for reporting, logging, libraries, and integration with tools like Jenkins. The framework is open source and has an active community around it.
TDD with Python and App Engine
This document discusses test-driven development (TDD) with Google App Engine and Python. It introduces Testable App Engine, a Python skeleton project and toolset that makes TDD easier on App Engine. Key features include creating a virtualenv, running sanity tests, loading test data from JSON, and allowing debugging during tests. The goal is to include batteries and make TDD more approachable for newcomers through conventions. The presenter demonstrates using the tool and invites feedback to improve support for existing projects and acquire more users.
Robot Framework for beginners and what is new at 2019
Slides for 1,5 hours workshop about Robot Framework. Presentation includes: (1) introduction to web site testing using Selenium Webdriver for complete beginners, and (2) what impressed me the most in Robocon 2019 conference.
Introduction to robot framework
Robot Framework is a keyword-based test automation framework suitable for acceptance testing. It requires Python 2.7, pip, Robot Framework, and various libraries like Selenium2 and Requests. The document provides instructions on installing these prerequisites and building sample bots to demonstrate localized and data-driven testing capabilities.
Robot Framework
Robot Framework is a generic test automation framework for acceptance and regression testing. It has easy-to-use tabular test data syntax and supports test automation using the keyword-driven testing approach. Tests are created using test cases composed of test data and keywords. Keywords are provided by test libraries that extend the functionality of the framework. Robot Framework can be installed on Windows using pip and supports creating and running tests from the command line or using the RIDE test data editor.
Droid con 2013 workshop unit testing in android [robolectirc]
This document discusses unit testing Android applications. It introduces Robolectric, an emulation framework that runs unit tests for Android apps on a Java Virtual Machine instead of an emulator or device. This allows tests to run much faster. Robolectric emulates the Android SDK and resources using shadow objects and view/resource loading. It is easy to extend and has good community support. While useful for unit testing, it cannot replace integrated tests that run on actual devices.
Fight back android fragmentation
These are the slides for the presentation that Bitbar experts gave at Droidcon Berlin 2012 (http://de.droidcon.com/content/testing-device-compatibility-not-hard-you-think). The presentation included also a live demo of Recording tests with Testdroid Recorder 2.0 and running the same use cases with one click on all 100+ real Android devices in Testdroid Cloud.
More Related Content
What's hot
Extreme Programming - to the next-level
This document discusses taking extreme programming principles to the next level by turning traditional practices "up to 11". It explores several ideas for achieving faster feedback including mob programming, continuous deployment, hypothesis-driven user stories, shared product ownership, monitoring-driven development, and continuous learning. The author asks the reader to consider which ideas may work to implement in their organization this month.
Fast end-to-end-tests
This document summarizes Lars Thorup's presentation on fast end-to-end tests. It discusses the drawbacks of traditional end-to-end tests like being slow, imprecise, complicated and fragile. Unit tests are faster but rely on mocked dependencies. The presentation demonstrates a way to automatically generate mocks to test applications from end-to-end very quickly while avoiding the downsides of mocks. The demo shows a Node.js app with front-end and back-end tested at almost 100 end-to-end tests per second.
Robot framework - Lord of the Rings
Robot Framework - Lord of the Rings
Introduction to the Robot Framework for Acceptance Test automation, and hands on examples, highlighting the key features. To catch the demo's, drop me a note at my email id.
Introduction to Automated Testing
Learn about the benefits of writing unit tests. You will spend less time fixing bugs and you will get a better design for your software. Some of the questions answered are:
Why should I, as a developer, write tests?
How can I improve the software design by writing tests?
How can I save time, by spending time writing tests?
When should I write unit tests and when should I write system tests?
Introduction to Spock: A Unit Testing Framework
When it comes to true unit tests, having a mocking framework such as Spock for Java is essential. Using a mocking framework ensures that your unit tests are fast, self-contained, and deterministic. A mocking framework can help you fake external systems, pre-program your classes with expected responses, and test hard-to-replicate error conditions.
In this, we will cover the Spock testing framework, an emerging framework that can be used to test both Java and Groovy code. Unlike Mockito, Spock is a complete testing framework that can function on its own (Mockito works in addition to JUnit).
You’ll understand:
~ How Spock tests leverage existing JUnit infrastructure
~ Spock annotations and where they apply
~ Spock mocks and stubs and how to take advantage of them
And you’ll be able to:
~ Set up test fixtures
~ Run testing methods before and after tests and test classes
~ Mock classes and interfaces set expectations, and validate them
Robot Framework : Lord of the Rings By Asheesh M
Learn how you can use the RobotFX for Acceptance Testing / Behavior Driven development / Integration Testing. Learn about the advanced keyword driven framework, and the ability to create reusable/custom higher-level keywords. Learn about the integration across multiple tools and extensibility.
Android TDD
A discussion about unit testing strategies and test-driven development on the Android platform including:
* Unit Testing & TDD Overview
* Android Testing Framework
* JUnit 4 + POJO Library
* Robolectric
Rentv
This document discusses various development topics including:
1. REN TV is an online TV service in Russia that was developed using Ruby on Rails.
2. Different types of testing are mentioned such as BDD, TDD, CI, ADD, and DDD. However, some of these acronyms have alternate meanings than software development terms.
3. Challenges with testing are outlined including not being able to test everything, risks of race conditions, and tests containing errors themselves.
Introduction to Robot Framework
This document provides instructions for installing and setting up the Robot Framework for acceptance testing and acceptance-test driven development. It discusses installing Python, pip, Robot Framework, and Selenium libraries. It also covers test structure, standard and external Robot Framework libraries, Selenium keywords, creating simple tests, running tests, and handling proxies. The document aims to help users create test cases with Robot Framework to test websites like Google, login pages, and todo applications.
TestWorks Conf Robot framework - the unsung hero of test automation - Michael...
The Robot Framework is a generic test automation framework for acceptance test-driven development, that appears to be largely neglected.
Undeservedly so, as it facilitates powerful and yet simple test automation against a variety of interfaces.
It features some distinct advantages when compared to seemingly similar frameworks such as Cucumber or Fitnesse.
This workshop is meant to show you what makes the Robot Framework special and what is has to offer you.
JaSST'18 Hokkaido Improve Automation Testing
This document discusses improving automation testing speed at Rakuten. It describes how the author's team previously faced bottlenecks like long setup times and late test feedback. They created a "Mobile Labo" solution using Appium and Selenium to run tests concurrently on multiple devices from a single script. This sped up testing significantly. However, new issues emerged around device clashes and locating devices. The author aims to resolve such problems to further improve speed in the future.
Acceptance Test Drive Development with Robot Framework
Robot Framework are Python based automation testing tool. I am using Robot Framework as acceptance test tool during development process, so that each git commit I made RF will test it automatically for me.
Automated Performance Testing
If you are like most test driven developers, you write automated tests for your software to get fast feedback about potential problems. Most of the tests you write will verify the functional behaviour of the software: When we call this function or press this button, the expected result is that value or that message.
But what about the non-functional behaviour, such as performance: When we perform this query the expected speed of getting results should be no more than that many milliseconds. It is important to be able to write automated performance tests as well, because they can give us early feedback about potential performance problems. But expected performance is not as clear-cut as expected results. Expected results are either correct or wrong. Expected performance is more like a threshold: If the performance is worse than this, we want the test to fail.
Introduction to Robot Framework – Exove
Robot Framework is an open source test automation framework that can be used to test web, desktop, and mobile applications. It uses a keyword-driven design and has a modular architecture that makes it easy to extend with custom test libraries. Some benefits include being highly reusable, accessible for beginners, and having powerful logging capabilities. However, it does not support while loops or nested for loops, and working with non-string data types can be complicated. The framework operates independently of the system under test and uses test suites made up of test cases that can each be in their own namespace. Custom keywords, variables, and extensions are usually stored separately.
Ruin your life using robot framework
This document discusses best practices and pitfalls when using the Robot Framework for test automation. It recommends starting with acceptance test-driven development (ATDD) and using source control and continuous integration. Other tips include giving tests and elements descriptive names, writing test cases as independent steps with single assertions, avoiding dependencies between tests, and focusing on behavior rather than implementation details. The document warns against not using these practices as they can lead to fragile and unreliable tests, wasted time and resources, and regressions going unnoticed.
Robot Framework Introduction
Robot Framework is a generic test automation framework for keyword-driven testing. It is implemented with Python and runs on Jython and IronPython as well. It supports test data driven development and has built-in support for reporting, logging, libraries, and integration with tools like Jenkins. The framework is open source and has an active community around it.
TDD with Python and App Engine
This document discusses test-driven development (TDD) with Google App Engine and Python. It introduces Testable App Engine, a Python skeleton project and toolset that makes TDD easier on App Engine. Key features include creating a virtualenv, running sanity tests, loading test data from JSON, and allowing debugging during tests. The goal is to include batteries and make TDD more approachable for newcomers through conventions. The presenter demonstrates using the tool and invites feedback to improve support for existing projects and acquire more users.
Robot Framework for beginners and what is new at 2019
Slides for 1,5 hours workshop about Robot Framework. Presentation includes: (1) introduction to web site testing using Selenium Webdriver for complete beginners, and (2) what impressed me the most in Robocon 2019 conference.
Introduction to robot framework
Robot Framework is a keyword-based test automation framework suitable for acceptance testing. It requires Python 2.7, pip, Robot Framework, and various libraries like Selenium2 and Requests. The document provides instructions on installing these prerequisites and building sample bots to demonstrate localized and data-driven testing capabilities.
Robot Framework
Robot Framework is a generic test automation framework for acceptance and regression testing. It has easy-to-use tabular test data syntax and supports test automation using the keyword-driven testing approach. Tests are created using test cases composed of test data and keywords. Keywords are provided by test libraries that extend the functionality of the framework. Robot Framework can be installed on Windows using pip and supports creating and running tests from the command line or using the RIDE test data editor.
What's hot (20)
TestWorks Conf Robot framework - the unsung hero of test automation - Michael...
TestWorks Conf Robot framework - the unsung hero of test automation - Michael...
Acceptance Test Drive Development with Robot Framework
Acceptance Test Drive Development with Robot Framework
Robot Framework for beginners and what is new at 2019
Robot Framework for beginners and what is new at 2019
Similar to Amplify - TDD on Android with Robolectric
Droid con 2013 workshop unit testing in android [robolectirc]
This document discusses unit testing Android applications. It introduces Robolectric, an emulation framework that runs unit tests for Android apps on a Java Virtual Machine instead of an emulator or device. This allows tests to run much faster. Robolectric emulates the Android SDK and resources using shadow objects and view/resource loading. It is easy to extend and has good community support. While useful for unit testing, it cannot replace integrated tests that run on actual devices.
Fight back android fragmentation
These are the slides for the presentation that Bitbar experts gave at Droidcon Berlin 2012 (http://de.droidcon.com/content/testing-device-compatibility-not-hard-you-think). The presentation included also a live demo of Recording tests with Testdroid Recorder 2.0 and running the same use cases with one click on all 100+ real Android devices in Testdroid Cloud.
Unit Test Android Without Going Bald
Draft presentation for CodeMash 2015 on how to Unit Test Android code, without going bald. The topics will cover using Robolectric and Mockito with Junit 4 to provide the backbone frameworks to allow unit testing of Android apps without the need for a device or emulator. Includes links to source code and examples, as well as real world results.
Introduction to Protractor - Habilelabs
This document provides an overview of end-to-end testing with Protractor. It defines end-to-end testing as testing whether the flow of an application performs as designed from start to finish. The document then discusses Protractor, an end-to-end test framework for AngularJS, how it works by using WebDriverJS and Selenium, and its advantages like automatic waiting and support for page objects. Finally, the document provides instructions on installing Protractor and a demo of running tests.
Coding Dojo - Golden Master Technique - Approval Tests - Gilded Rose Kata-
1. The Golden Master technique is used to generate system tests by capturing outputs without changing production code, generating random inputs and persisting input/output tuples, writing a test to check the system under test against persisted data, and committing the test.
2. ApprovalTests is an open source assertion library that can aid in unit testing.
3. The Gilded Rose kata involves updating item quality and sell-by dates each day according to various rules like certain items like aged brie and backstage passes increasing in quality over time.
Reliable mobile test automation
This document summarizes Vishal Banthia's presentation on achieving reliable mobile test automation. It discusses the difficulties of flaky tests and inconsistent test execution environments. It then presents solutions like capturing comprehensive test reports with screenshots, videos, and logs to better diagnose flaky tests. It also recommends leveraging cloud services for scalable and accessible test execution. The presentation demonstrates these concepts through tools like Bitrise, OpenSTF, and CircleCI used in Mercari's mobile test automation pipeline.
Testing on Android
Current (April 2014) techniques for testing Android applications with Robolectric and Robotium. Good BDD testing strategies. CI setup.
3x3: Speeding Up Mobile Releases
The document discusses LinkedIn's transition to a 3x3 release cycle for their flagship mobile app, releasing new versions every three hours. Previously they released monthly. The new process involves continuous integration pipelines for code review, static analysis, unit testing, and UI testing on alpha and beta builds. Tests are automated and run in parallel on emulators to speed the process. Partner teams now validate through automation. Risk is minimized through feature flags and A/B testing. Areas for future improvement include further automating the release process and adding performance testing.
3x3 Speeding Up Mobile Releases
Presenters: Drew Hannay - Staff Software Engineer at LinkedIn
Presented on Mar 21 at 10:30am at Mobile Delivery Days 2016
Continuous integration is old hat in the web frontend and backend world, but it’s still rare for native mobile apps. For true continuous integration, we ship every commit directly to production – but this is clearly not realistic in the world of native apps, where binaries must be published in the App Store (with Apple’s week-long review process) and Google Play, then downloaded by members.
On the engineering side, we needed an aggressive goal to ensure we didn’t fall back into the pattern of manual verification of each release. We also wanted our product partners to be free to ship as often as they want (without annoying members of course!). We settled on a rule that we call “3x3”.
Expedia 3x3 presentation
The document describes LinkedIn's 3x3 mobile release process. Key points:
- Release new versions of the LinkedIn app 3 times per day, with a maximum of 3 hours from code commit to member availability.
- This allowed for faster iteration and feedback compared to previous monthly releases.
- The commit pipeline includes code review, static analysis, unit tests, UI tests, and staged releases to alpha and beta testers.
- Ensuring test stability and reliability was a challenge given the fast release cadence. Techniques included stabilizing the testing environment and framework, and improving test quality.
Overview the Challenges and Limitations of Android App Automation with Espres...
During this SauceCon 2019 presentation, Jagmit demonstrates how to set up Espresso, develop/execute tests and identify elements, and execute the Espresso tests in a Continuous Integration environment using Jenkins and Firebase.
Android Test Driven Development
This document discusses test driven development for mobile applications. It compares the traditional development cycle to a test driven development cycle. It also discusses how using the Robolectric framework allows testing Android applications outside of an emulator, improving the speed of test driven development. Key benefits of test driven development mentioned include delivering functionality faster, improving code quality and confidence, and allowing more time for cleaning code and learning new tools.
Android Frameworks: Highlighting the Need for a Solid Development Framework 
The document discusses the benefits of developing Android applications using frameworks. It highlights that frameworks provide a common code base that is reusable across multiple applications and contexts. This prevents teams from reinventing the wheel and allows for easy onboarding of new team members. The document also identifies several important components that should be included in a framework, such as libraries for REST consumption, object serialization, caching, local databases, in-app communication, automated testing, and build systems. It provides examples of popular libraries that can be used for each component and additional considerations for a successful framework.
Android testing
Unit testing Android apps
The document discusses the importance of unit testing Android apps. It recommends separating business logic from platform code using patterns like Model-View-Presenter. Unit tests should focus on individual classes and replace collaborators with test doubles. Key tools for unit testing Android include JUnit, Robolectric, and Mockito. Following software best practices like SOLID principles makes code more testable and easier to develop with a test-first approach.
Play with Testing on Android - Gilang Ramadhan (Academy Content Writer at Dic...
Testing merupakan (QA) quality assurance dari sebuah produk. Dalam tahap ini kita jadi tahu, bila di dalam aplikasi yang kita buat terdapat bug, eror, atau salah dalam logika kode. Sehingga testing adalah bagian terpenting pada pengembangan aplikasi.
Eror bisa kita identifikasi jauh lebih dini sebelum proses produksi. Jika terjadi kesalahan dalam tahap produksi, itu sudah melibatkan user. Tentunya kerugian di dalam tahap ini akan lebih fatal. Faktanya, biaya perbaikan sebuah aplikasi eror di tahap produksi, lebih besar dibandingkan dengan biaya pengujian sebelum produksi.
Anda akan mempelajari:
- Mengapa perlu melakukan testing
- Apa sebenarnya yang dimaksud testing
- Apa saja tools yang bisa Anda manfaatkan
Enterprise Strength Mobile JavaScript
JavaScript has a well deserved reputation of be hard to write and debug. Put it on a mobile device and the problems increase exponentially. Mobile browsers lack all of the niceties that developers rely on to do testing and debugging including the most fundamental tool, the debugger. But it is possible to write quality JavaScript on a mobile device without relying on blind luck. In this talk I will show all of the tools and tricks that I learned in my 12 month development of the new KBB.com mobile site.
Rubyconf presentation
This document discusses challenges and best practices for large-scale Ruby on Rails projects. It covers topics like test-driven development, behavior-driven development with Cucumber, code quality practices like pairing and code reviews, performance optimization tools, and client-side optimizations. The key messages are that automated testing, code quality practices, and performance monitoring are important for large projects to help catch bugs early and reduce development time.
Efficient mobile automation
Vitalii Tatarynov gave a presentation on efficient mobile automation. He discussed three parts of successful automation: writing good code, collaborating with the team, and making a robust infrastructure. For writing good code, he emphasized keeping it simple, reusing patterns and libraries, and leveraging new language features. For infrastructure, he described setting up a Jenkins pipeline for continuous integration and using Appium, Espresso, and OpenSTF for testing. He also demonstrated how to install Jenkins, OpenSTF, and set up a Docker environment for mobile testing automation.
Continuous Delivery at Snyk
A deck from the first CDIsrael meetup, presenting our CD flow at Snyk, focusing on our testing framework. A day in a life of a developer - code, test, publish, deploy, monitor.
« Training Within Software » using Dojo and Mob Programming by Bernard Notari...
« Training Within Software » using Dojo and Mob Programming by Bernard Notari...Institut Lean France
This is the true story of a software creation team who wanted to double its productivity. See how a PDCA-like approach led to implement Dojo and Mob programming practices, what worked and what could be improved.
Agile teams who want to increase their skills and efficiency through a standardized way of sharing knowledge amongst team members will learn a lot here. More about Lean in IT on www.lean-it-summit.comSimilar to Amplify - TDD on Android with Robolectric (20)
Droid con 2013 workshop unit testing in android [robolectirc]
Droid con 2013 workshop unit testing in android [robolectirc]
Coding Dojo - Golden Master Technique - Approval Tests - Gilded Rose Kata-
Coding Dojo - Golden Master Technique - Approval Tests - Gilded Rose Kata-
Overview the Challenges and Limitations of Android App Automation with Espres...
Overview the Challenges and Limitations of Android App Automation with Espres...
Android Frameworks: Highlighting the Need for a Solid Development Framework 
Android Frameworks: Highlighting the Need for a Solid Development Framework 
Play with Testing on Android - Gilang Ramadhan (Academy Content Writer at Dic...
Play with Testing on Android - Gilang Ramadhan (Academy Content Writer at Dic...
« Training Within Software » using Dojo and Mob Programming by Bernard Notari...
« Training Within Software » using Dojo and Mob Programming by Bernard Notari...
Recently uploaded
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
A Comprehensive Guide to DeFi Development Services in 2024
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Recently uploaded (20)
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Your One-Stop Shop for Python Success: Top 10 US Python Development Providers
Amplify - TDD on Android with Robolectric
- 1. The Magic of Android Unit Testing Johny Urgiles
- 2. Johny Urgiles ● 3 years @ Amplify ● Android dev for half of that ● Code quality aficionado ● The Lab for Robotics Education
- 4. Amplify & Test Driven Development ● Write test first ● See it fail ● Write simplest possible solution ● Refactor ● Sleep peacefully at night
- 11. Android & TDD ● Android Instrumentation Unit Testing ○ Pretty slow by unit test standards ○ We still have to maintain a separate infrastructure for tablet <-> tablet interaction
- 12. Android on JUnit
- 13. Stubbin
- 14. It’s Raining Runtime Exceptions
- 17. Robolectric ● Mimics Android functionality ● 2.0 includes Android code (4.2.1 rc1) ● Provides view into Android internals ● Extendable with ‘Shadows’
- 18. Robolectric @ Amplify ● 4500 unit tests across our Android Apps ● Most in a single repo: 3751 ○ Runs in 6.5 minutes (Macbook Pro) ○ Migration to Robolectric 2.0 took a part-time dev about 3 weeks ○ Worth it ● Devs run unit tests in IntelliJ
- 19. Code Time
- 20. More Unit Testing @ Amplify ● RoboGuice ○ Based on Google Guice ○ Dependency injection for Android ● Mockito ○ Standard Java Mock library ● Android FEST ○ Assertion library by Square