LINE TODAY高效率的敏捷測試開發技巧

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This document discusses DevOps practices for software testing. It emphasizes the importance of continuous testing throughout the development lifecycle to reduce risk and ensure new features do not break existing functionality. Testing approaches like unit testing, integration testing, and automation are recommended to support faster release cycles and more agile workflows. The document concludes by advertising open roles for QA engineers.

LINE TODAY APP
News Movie Video Personalization

Shorter Release Cycle
Testing is a Repetition Work
Really Agile?

Code Coverage
Continuous
ImprovementCode Review

Unit Test
Integration Test Build
Pull Request
Functional Test
Notify
Visualization
Monitor
Emulators Simulators DevicesCode Review
Debug
Build Platform

TESTING IN TASK LIFECYCLE
In
Progress
Testing DoneStory

@Test
fun testLoginSuccess() {
//Given
homePage.navigateToLoginPage()
//When
loginPage.inputEmail()
loginPage.inputPassword()
loginPage.clickSubmitButton()
//Then
loginPage.assertLoginSuccess()
}
Test Suite Layer Page Object Layer
HomePag
e
LoginPage
Acceptance
Criteria

Development Start
Smoke Testing
Sanity Testing
Regression Testing
Regression Testing
Task Complete QA Verify Task Complete QA Verify
Task Complete QA Verify Task Complete QA Verify
Start
Start Release
DevOps
Development Start
Before
After
Release
Release

WRAP UP
● Control Change Scope
● Keep Testing
● DevOps
● Work Closely With Developers
● Less Repetitive Work & More Agile

WE ARE HIRING
Service QA
Automation
Engineer
Test
Engineer

Test Reporting Framework are the ultimate utilities reached by very few companies in the world likes of google & facebook. It require significant investment in terms money and resources. To optimize on both we tried the approach of extending Jenkins for the same purpose. We like to share our experiences with respect to this journey. We will talk about different cahllenges we faced in doing so and how we solved them. We strongly believe that other startup can use our experience and get benefit from this immensely.

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Automated Acceptance Testing (and tool choice) Automated acceptance testing has many names: acceptance-test driven development (ATDD), story-test driven development (STDD), agile acceptance testing and, most recently, specification by example. At the heart of all these approaches is to produce business-facing tests which are system tests running end-to-end, picking up regression issues and improving confidence that the code works as required. In this talk, I will contextualise how each of these approaches share in common a three-tier layering strategy: acceptance criteria, test implementation layer and application driver layer. This is important because applying this approach requires a tool choice and each tool tends to have its own sweet (and blind) spot that is best understood through these layers. I will first deep dive into sample code across a few tools (Cucumber, Fitnesse, Concordion) to illustrate this layering. I use an example that shows how to decouple the GUI from tests (window driver pattern). Finally, I will look at some typical client scenarios to examine which tools might best suited because tool choice is not simply a host operating system question (.Net, Java, Ruby).

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One of the challenges faced by many web development based projects is the integration of source code for multiple releases during parallel development. The task to build and test the multiple versions of source code can eat out the quality time and limit the efficiency of the development/QA team. The case study focuses to resolve the issues of extensive effort consumed in build and deployment process from multiple branches in source repository and aim at Identification of source code integration issues at the earliest stage. This can further be enhanced to limit the manual intervention by integration of build system with test automation tool. The above can be achieved by using different CI tools (like Hudson/Bamboo/TeamCity/CruiseControl etc) for continuous build preparation and its integration with any test automation suite. The case study specifies the use of CI-Hudson tool for continuous integration using ANT tool for build preparation and further invoking the automation test suite developed using selenium. It also discusses the limitations and challenges of using such an integration system for testing a web based application deployed on Apache Tomcat server. It also details additional plugins available to enhance such an integration of multiple systems and what can be achieved using the above integration.

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** Full webinar recording here: https://youtu.be/EaISHnCjNGY ** "I am confident that once you give this approach a try, you will rethink your entire current code-based approach" -- Raja Rao, Head of Test Automation University In this webinar, you'll see the modern way or the intelligent way of doing web and mobile testing. Specifically, functional, end-to-end UI testing. The analogy is a gasoline car versus an electric car: both are cars, both need tires, seats, breaks, etc... but the core engine that moves the car is different -- which makes a huge difference. The main idea here is that, once the functionality in an app happens (for example: logging into an app), you simply take a screenshot of the resulting page or resulting state of the app, and take screenshots every time you run the test and compare them with the original screenshot using Visual AI (instead of pixel-by-pixel comparison, or DOM-diffing). If there is a difference, then the AI will highlight only meaningful differences and ignores differences that we humans ignore. You'll see that by using this approach where you delegate a lot of work the Visual AI, you'll see exponential benefits, such as up to 5X increase in the number of bugs found, up to 10X less code and so on. In this webinar, Raja Rao compares several typical functional testing use cases to show how it actually works. Talking points: * What is modern functional testing * What is "Visual AI" -- and why you need it * Deeply analyze legacy code based functional test and compare it with the modern approach (number of lines, locators, labels, etc...) * Compare legacy versus modern code by going over some use cases and approaches, such as Data-driven testing, Sorting an HTML table, Testing a dynamic bar chart, Testing iFrames, Testing dynamic pages, etc…

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