Agile Test Automation

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Agile Test Automation with Selenium2 and Concordion

Session 902 Agile Test Automation Werner Keil, Director, Creative Arts & Technologies

Agenda 25 minutes ,[object Object]

Process

Tools

Framework30 minutes Demo Q&A

Intro Main Trend: Move away from Waterfall to Lean and Agile

Intro How does Agile affect Software Testing?

Agile Values and Principles Values ,[object Object]

Simplicity

Feedback

Courage

Respect

Transparency

Trust,[object Object]

Build Quality In

Create Knowledge

Deliver Fast

Respect People

Optimize the Whole,[object Object]

A Salt Lake © solarnavigator.net

Another Salt Lake © Gujarat Tourism Bureau

Roles Roles in an Agile team ,[object Object]

Domain Expert

Developer

Tester,[object Object]

Responsibilities ,[object Object]

Helping Business with Requirements

Helping Developers with Test Data preparation and Unit Testing

Test Execution

Test Automation

Exploratory Testing,[object Object]

Responsibilities Build Quality in ,[object Object]

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NoSQL: The first New Jakarta EE Specification (DWX 2019)

NoSQL: The first New Jakarta EE Specification (DWX 2019)

In 1999, NASA lost the $125 million Mars Climate Orbiter as it went into orbital insertion. Due to a mismatch between US customary and SI units of measurements in one of the APIs, the spacecraft came too close to the planet, passed through the upper atmosphere and disintegrated. Sadly, this hasn’t been the only instance where a mismatch between units of measurements had catastrophic consequences, but it’s certainly one of the most spectacular and expensive ones. How could this happen? The bad news: if you use primitive types to handle quantities in your code, due to the same practice at best, you’ve codified the unit in a variable name or database field, e.g. calling it lengthInMetres. Otherwise, you’re only relying on convention, just like Lockheed Martin and NASA did. Join this talk to learn how JSR 385 can help you avoid $125 million mistakes, how it applies the 2019 redefinition of SI base units, and discover the immeasurable world of dimensions, units and quantities. Indroductory slides for the Adopt-a-JSR Day by Utrecht JUG

How JSR 385 could have Saved the Mars Climate Orbiter - Adopt-a-JSR Day

How JSR 385 could have Saved the Mars Climate Orbiter - Adopt-a-JSR Day

How JSR 385 could have Saved the Mars Climate Orbiter - Adopt-a-JSR Day

JNoSQL is a framework and collection of tools that make integration between Java applications and NoSQL quick and easy—for developers as well as vendors. The API is easy to implement, so NoSQL vendors can quickly implement, test, and become compliant by themselves. And with its low learning curve and just a minimal set of artifacts, Java developers can start coding by worrying not about the complexity of specific NoSQL databases but only their core aspects (such as graph or document properties). Built with functional programming in mind, it leverages all the features of Java 8. This session covers how the API is structured, how it relates to the multiple NoSQL database types, and how you can get started and involved in this open source technology.

JNoSQL: The Definitive Solution for Java and NoSQL Databases

JNoSQL: The Definitive Solution for Java and NoSQL Databases

JNoSQL: The Definitive Solution for Java and NoSQL Databases

JNoSQL is a framework and collection of tools that make integration between Java applications and NoSQL quick and easy—for developers as well as vendors. The API is easy to implement, so NoSQL vendors can quickly implement, test, and become compliant by themselves. And with its low learning curve and just a minimal set of artifacts, Java developers can start coding by worrying not about the complexity of specific NoSQL databases but only their core aspects (such as graph or document properties). Built with functional programming in mind, it leverages all the features of Java 8. This session covers how the API is structured, how it relates to the multiple NoSQL database types, and how you can get started and involved in this open source technology.

Eclipse JNoSQL: The Definitive Solution for Java and NoSQL Databases

Eclipse JNoSQL: The Definitive Solution for Java and NoSQL Databases

Eclipse JNoSQL: The Definitive Solution for Java and NoSQL Databases

Tenkiv developed a new kind of solar power system focused on cost-effectiveness and scalability in need of data acquisition system to collect and analyze data from different sensors throughout the cloud. Because the system may have different energy conversion devices (modules), different number of thermal circuits, collectors, etc. the control software has to be very adaptable to match these varying configurations. Therefore the JVM was an ideal choice. The control software "Nexus Brain" is written in Kotlin. It heavily uses Units of Measurement, so Tenkiv created Physikal, a Kotlin extension to the Java 8 implementation of JSR 363. A project also used by others, for example in collaboration with NASA or ETH Zurich. This session will give a brief overview of how Tenkiv and Nexus Brain use Kotlin and Physikal/JSR 363 to calculate the optimal usage of alternate energy sources and control solar power systems for making clean water anywhere from Flint Michigan to Afghanistan or Cape Town.

Physikal - Using Kotlin for Clean Energy - KUG Munich

Physikal - Using Kotlin for Clean Energy - KUG Munich

Physikal - Using Kotlin for Clean Energy - KUG Munich

Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017

Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017

Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017

Performance Monitoring tools like Performance Co-Pilot (PCP) existed almost longer than the World Wide Web. It was developed in the early 90s by SGI. Parts were made available open source from 2000 on, which led to a further spread of the tool. In recent years an active community formed and a variety of new features and enhancements were added. PCP is now part of Red Hat and SuSE Linux Enterprise editions and included in many other Linux distributions. Versions for other Unix variants, OS X and Windows also exist. This session compares popular Open Source Monitoring Tools like Performance Co-Pilot, StatsD, Dropwizard Metrics, Prometeus, MicroProfile Metrics or StatsD. How they each support Containers or Virtualization, share data with IT monitoring systems like Nagios or Zabbix, or process analyze and visualize it via Carbon, Graphite or Grafana/ElasticSerch.

Performance Monitoring for the Cloud - Java2Days 2017

Performance Monitoring for the Cloud - Java2Days 2017

Performance Monitoring for the Cloud - Java2Days 2017

With IoT it’s all about things and sensors. And when representing a temperature, for example, we normally have it as a float. But is this float in Celsius? Kelvin? This is one of the problems JSR 363 wants to solve: have all “real world” value and unit data represented in a standard way. This JSR is also very suitable for scientific applications, where data representation, conversion, and formatting are very important. In this session, you’ll see how developers as well as platform providers can leverage this JSR, coding a smart gas pump that reports its values by using Java standards. Come to meet JSR 363, Units of Measurement.

Eclipse Science F2F 2016 - JSR 363

Eclipse Science F2F 2016 - JSR 363

Eclipse Science F2F 2016 - JSR 363

When we deploy existing applications to the cloud or build new applications for it, how do the applications change? How does the boundary of an application change? How does this change affect the security parameters? What are the security characteristics that need to be accounted for? This talk explores these and the following questions: • What are the top security concerns when building for the cloud? • How do we evolve the security JSR (375) in Java EE 8 for the cloud? • What are the key security areas for the next-generation Java EE platform that can ease a developer’s path for cloud deployments?

Java2Days - Security for JavaEE and the Cloud

Java2Days - Security for JavaEE and the Cloud

Java2Days - Security for JavaEE and the Cloud

Das Wachstum an Mobiltelefonen, Tablets und ähnlichen Geräten, die den Markt geradezu überschwemmen erleben wir Tag für Tag. Die Spezifikation jedes Einzelnen genau zu verfolgen ist ein Knochenjob. Diese Mühe kann reduziert werden, wenn zur Verbesserung dasDevice Description Repository – kurz DDR - beigesteuert wird und Anwender dieses selbst verwaltet können. Apache DeviceMap entstand als Kooperation von OpenDDR und anderen, um ein umfassendes Open Source Daten-Repository mit Geräteinformationen, Bilder und andere relevante Informationen für alle Arten von mobilen Geräten zu schaffen, Smartphones, Tablets, Smart-TV, u.dgl. Das Projekt begann im Januar 2012, im Herbst 2012 wurden DDR APis für Java und .NET von OpenDDR beigesteuert. Im Herbst 2014 verließ DeviceMap erfolgreich den Apache Incubator. Die nächsten Schritte umfassen verbesserte Erkennung von Informationen im UserAgent String. Java Portlet 3.0 Integration via Apache Pluto. Sowie Crowd-Sourcing der Device Repository Daten und eine Speicher-Struktur, die langfristige Erhaltung und Pflege dieser Daten durch die Apache Gemeinde erlaubt.

Apache DeviceMap - Web-Dev-BBQ Stuttgart

Apache DeviceMap - Web-Dev-BBQ Stuttgart

Apache DeviceMap - Web-Dev-BBQ Stuttgart

Come to meet JSR 363 - Units of Measurement! It's the first JSR targeted to help you work with IoT devices, tackling sensors and measurements in a standard way. We all know that when representing a temperature, for example, we normally have it as a float. But, is this float in Celsius? Fahrenheit? Kelvin? This is one of the problems this JSR wants to solve: have all "real world" value and unit data represented in a standard way. This JSR is also very suitable for scientific applications, where data representation, conversion and formatting is very important. In this presentation, we'll see how both developers and platform providers can leverage this JSR, coding for a smart home or smart gas pump that reports its values in a standard way. As well as other use cases and actual embedded devices like Raspberry Pi or Intel Edison. And this JSR is still in the making. Be first hand witness of the JSR 363 Public Draft (due around Nov) and learn how YOU can get involved and help Java grow in the IoT space! We'll explore how JSRs work and how you can get involved in the JCP and work with this and other JSRs.

The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg

The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg

The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg

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Securing eHealth, eGovernment and eBanking with Java - DWX '21

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OpenDDR and Jakarta MVC - JavaLand 2021

OpenDDR and Jakarta MVC - JavaLand 2021

OpenDDR and Jakarta MVC - JavaLand 2021

How JSR 385 could have Saved the Mars Climate Orbiter - Zurich IoT Day 2021

How JSR 385 could have Saved the Mars Climate Orbiter - Zurich IoT Day 2021

How JSR 385 could have Saved the Mars Climate Orbiter - Zurich IoT Day 2021

OpenDDR and Jakarta MVC - Java2Days 2020 Virtual

OpenDDR and Jakarta MVC - Java2Days 2020 Virtual

OpenDDR and Jakarta MVC - Java2Days 2020 Virtual

NoSQL Endgame - Java2Days 2020 Virtual

NoSQL Endgame - Java2Days 2020 Virtual

NoSQL Endgame - Java2Days 2020 Virtual

JCON 2020: Mobile Java Web Applications with MVC and OpenDDR

JCON 2020: Mobile Java Web Applications with MVC and OpenDDR

JCON 2020: Mobile Java Web Applications with MVC and OpenDDR

How JSR 385 could have Saved the Mars Climate Orbiter - JFokus 2020

How JSR 385 could have Saved the Mars Climate Orbiter - JFokus 2020

How JSR 385 could have Saved the Mars Climate Orbiter - JFokus 2020

Money, Money, Money, can be funny with JSR 354 (Devoxx BE)

Money, Money, Money, can be funny with JSR 354 (Devoxx BE)

Money, Money, Money, can be funny with JSR 354 (Devoxx BE)

Money, Money, Money, can be funny with JSR 354 (DWX 2019)

Money, Money, Money, can be funny with JSR 354 (DWX 2019)

Money, Money, Money, can be funny with JSR 354 (DWX 2019)

NoSQL: The first New Jakarta EE Specification (DWX 2019)

NoSQL: The first New Jakarta EE Specification (DWX 2019)

NoSQL: The first New Jakarta EE Specification (DWX 2019)

How JSR 385 could have Saved the Mars Climate Orbiter - Adopt-a-JSR Day

How JSR 385 could have Saved the Mars Climate Orbiter - Adopt-a-JSR Day

How JSR 385 could have Saved the Mars Climate Orbiter - Adopt-a-JSR Day

JNoSQL: The Definitive Solution for Java and NoSQL Databases

JNoSQL: The Definitive Solution for Java and NoSQL Databases

JNoSQL: The Definitive Solution for Java and NoSQL Databases

Eclipse JNoSQL: The Definitive Solution for Java and NoSQL Databases

Eclipse JNoSQL: The Definitive Solution for Java and NoSQL Databases

Eclipse JNoSQL: The Definitive Solution for Java and NoSQL Databases

Physikal - Using Kotlin for Clean Energy - KUG Munich

Physikal - Using Kotlin for Clean Energy - KUG Munich

Physikal - Using Kotlin for Clean Energy - KUG Munich

Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017

Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017

Physikal - JSR 363 and Kotlin for Clean Energy - Java2Days 2017

Performance Monitoring for the Cloud - Java2Days 2017

Performance Monitoring for the Cloud - Java2Days 2017

Performance Monitoring for the Cloud - Java2Days 2017

Eclipse Science F2F 2016 - JSR 363

Eclipse Science F2F 2016 - JSR 363

Eclipse Science F2F 2016 - JSR 363

Java2Days - Security for JavaEE and the Cloud

Java2Days - Security for JavaEE and the Cloud

Java2Days - Security for JavaEE and the Cloud

Apache DeviceMap - Web-Dev-BBQ Stuttgart

Apache DeviceMap - Web-Dev-BBQ Stuttgart

Apache DeviceMap - Web-Dev-BBQ Stuttgart

The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg

The First IoT JSR: Units of Measurement - JUG Berlin-Brandenburg

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This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/

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As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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Agile Test Automation

1. Session 902 Agile Test Automation Werner Keil, Director, Creative Arts & Technologies

2.

5. Framework30 minutes Demo Q&A

6. Intro Main Trend: Move away from Waterfall to Lean and Agile

7. Intro How does Agile affect Software Testing?

8.

13. Transparency

14.

15. Build Quality In

16. Create Knowledge

17. Deliver Fast

18. Respect People

19.

20. A Salt Lake © solarnavigator.net

21. Another Salt Lake © Gujarat Tourism Bureau

22.

23. Domain Expert

25.

26.

27. Helping Business with Requirements

28. Helping Developers with Test Data preparation and Unit Testing

29. Test Execution

30. Test Automation

31.

32.

33. Not just Test Engineers

34. TDD

35. Tester as Helper

36. Aim for zero defect rate

37.

38. Continuous integration

39.

42.

43.

45.

48.

52. Eclipse Jubula

53.

54. Browser Support

55.

56. Concordion No acceptance tests written like this...

57. Concordion Write them like this instead...

58. Concordion Clear tests lead to clear fixture code

59.

60. Acceptance tests in form of real life examples

61.

62. Framework Personas?

63. Framework Personas Fictional – but realistic – character sketches based on a break-down of the target audience into groups of users that exhibit common characteristics. They are created using knowledge drawn from previous research, for example user groups and surveys that have been carried out with actual users.

64. Framework Testing Cloud

65. Demo Time for a

66. Thank you for attending this session. Please fill out an evaluation form and place it in the box located at the back of the room.