This document discusses pragmatic test-driven development and testing best practices. It argues that tests do not always need to be written before code and that it is sometimes better to write tests after production code. Tests should guide development but may not ensure the right system is built. Tests allow refactoring of code if the test code also evolves and is refactored. Sometimes outdated tests should be discarded to enable changes rather than slowing development.
Pragmatic Not Dogmatic TDD Agile2012 by Joseph Yoder and Rebecca Wirfs-BrockJoseph Yoder
This presentation challenges the "norm" for TDD. Testing should be an integral part of your daily programming practice. But you don’t always need to derive your code via many test-code-revise-retest cycles to be test-driven. Some find it more natural to outline a related set of tests first, and use those test scenarios to guide them as they write code. Once they’ve completed a “good enough” implementation that supports the test scenarios, they then write those tests and incrementally fix any bugs as they go. As long as you don’t write hundreds of lines of code without any testing, there isn’t a single best way to be Test Driven. There’s a lot to becoming proficient at TDD. Developing automated test suites, refactoring and reworking tests to eliminate duplication, and testing for exceptional conditions, are just a few. Additionally, acceptance tests, smoke tests, integration, performance and load tests support incremental development as well. If all this testing sounds like too much work, well…let’s be practical. Testing shouldn’t be done just for testing’s sake. Instead, the tests you write should give you leverage to confidently change and evolve your code base and validate the requirements of the system. That’s why it is important to know what to test, what not to test, and when to stop testing.
1) Behaviour-driven development (BDD) is an agile methodology that focuses on delivering working, tested software through collaboration between developers, testers and stakeholders.
2) BDD implements an application by describing its behavior through features and scenarios written from the perspective of stakeholders. Stories, acceptance criteria, executable examples and other tools are used to define requirements and guide development.
3) BDD aims to produce software that provides tangible value to stakeholders by being delivered incrementally, being easy to deploy and manage, and by adapting quickly to feedback through frequent testing and deployment.
xUnit and TDD: Why and How in Enterprise Software, August 2012Justin Gordon
“A comprehensive suite of JUnit tests is one of the most import aspects of a software project because it reduces bugs, facilitates adding new developers, and enables refactoring and performance tuning with confidence. Test-driven development (TDD) is the best way to build a suite of tests. And the Dependent Object Framework is the best way to test against database objects.” This presentation covers the benefits of TDD along with practical advice on how to implement TDD in complex projects.
The document discusses test-driven development (TDD) and the benefits of automated unit testing. It describes the TDD rhythm of adding a test, seeing it fail, making the minimal code change to pass the test, then refactoring. TDD helps produce maintainable, loosely coupled code by focusing on writing tests first, catching errors early, and communicating design decisions. The goals of TDD include making programming more enjoyable, understanding code easily, and reducing maintenance costs significantly.
This document discusses 10 common myths about software testing in an agile environment. It argues that while test-driven development (TDD) is useful, a variety of testing techniques are still needed including manual testing, integration testing, system testing, and user acceptance testing. It also notes that as project size increases, test automation becomes necessary to efficiently run all the necessary test cycles. Overall, the document advocates for testers to be actively involved throughout the agile process to help ensure software quality.
This document discusses pragmatic test-driven development and testing best practices. It argues that tests do not always need to be written before code and that it is sometimes better to write tests after production code. Tests should guide development but may not ensure the right system is built. Tests allow refactoring of code if the test code also evolves and is refactored. Sometimes outdated tests should be discarded to enable changes rather than slowing development.
Pragmatic Not Dogmatic TDD Agile2012 by Joseph Yoder and Rebecca Wirfs-BrockJoseph Yoder
This presentation challenges the "norm" for TDD. Testing should be an integral part of your daily programming practice. But you don’t always need to derive your code via many test-code-revise-retest cycles to be test-driven. Some find it more natural to outline a related set of tests first, and use those test scenarios to guide them as they write code. Once they’ve completed a “good enough” implementation that supports the test scenarios, they then write those tests and incrementally fix any bugs as they go. As long as you don’t write hundreds of lines of code without any testing, there isn’t a single best way to be Test Driven. There’s a lot to becoming proficient at TDD. Developing automated test suites, refactoring and reworking tests to eliminate duplication, and testing for exceptional conditions, are just a few. Additionally, acceptance tests, smoke tests, integration, performance and load tests support incremental development as well. If all this testing sounds like too much work, well…let’s be practical. Testing shouldn’t be done just for testing’s sake. Instead, the tests you write should give you leverage to confidently change and evolve your code base and validate the requirements of the system. That’s why it is important to know what to test, what not to test, and when to stop testing.
1) Behaviour-driven development (BDD) is an agile methodology that focuses on delivering working, tested software through collaboration between developers, testers and stakeholders.
2) BDD implements an application by describing its behavior through features and scenarios written from the perspective of stakeholders. Stories, acceptance criteria, executable examples and other tools are used to define requirements and guide development.
3) BDD aims to produce software that provides tangible value to stakeholders by being delivered incrementally, being easy to deploy and manage, and by adapting quickly to feedback through frequent testing and deployment.
xUnit and TDD: Why and How in Enterprise Software, August 2012Justin Gordon
“A comprehensive suite of JUnit tests is one of the most import aspects of a software project because it reduces bugs, facilitates adding new developers, and enables refactoring and performance tuning with confidence. Test-driven development (TDD) is the best way to build a suite of tests. And the Dependent Object Framework is the best way to test against database objects.” This presentation covers the benefits of TDD along with practical advice on how to implement TDD in complex projects.
The document discusses test-driven development (TDD) and the benefits of automated unit testing. It describes the TDD rhythm of adding a test, seeing it fail, making the minimal code change to pass the test, then refactoring. TDD helps produce maintainable, loosely coupled code by focusing on writing tests first, catching errors early, and communicating design decisions. The goals of TDD include making programming more enjoyable, understanding code easily, and reducing maintenance costs significantly.
This document discusses 10 common myths about software testing in an agile environment. It argues that while test-driven development (TDD) is useful, a variety of testing techniques are still needed including manual testing, integration testing, system testing, and user acceptance testing. It also notes that as project size increases, test automation becomes necessary to efficiently run all the necessary test cycles. Overall, the document advocates for testers to be actively involved throughout the agile process to help ensure software quality.
This document discusses test escape analysis (TEA), which analyzes defects that escaped testing to help improve testing efficiency. TEA examines past defects to identify patterns and trends, such as which test types or techniques could have caught which defects earlier. The benefits of early defect detection through improved testing are reduced costs, reputation, and engineer workload. TEA data from defect histories can show where to apply testing resources and procedure changes for maximum return.
Testing for continuous delivery with visual studio 2012Cristiano Caetano
Visual Studio 2012 provides tools that help automate and speed up testing to keep pace with agile development cycles. It removes bottlenecks in the testing process through features that record and replay manual tests, transform manual tests into automated code, and monitor test progress. The guide shows how to set up testing tools in Visual Studio and use unit tests, coded UI tests, lab environments, and continuous integration to satisfy the demands of agile and continuous delivery.
My presentation at Arvato Systems about TDD. This presentation is based on my own knowledge and experience. I go through two full TDD cycles programmed in Eclipse presenting the written code in the presentation.
Building Mobile (app) Masterpiece with Distributed AgileWee Witthawaskul
The document discusses how the speaker built a distributed agile team to develop a successful mobile app for Morningstar for iPad. Key points include:
- The project started in 2011 and involved developing concurrently for iOS and a Java backend.
- The team implemented agile practices like continuous integration, automated testing, and tracking work in JIRA to facilitate distributed development.
- The app launched in 2013 and became a top 10 finance app, demonstrating the effectiveness of their distributed agile approach to mobile development.
This document discusses the benefits of test-driven development (TDD) and counters some common arguments against writing unit tests. It begins by joking that legendary martial artist Chuck Norris does not need unit tests due to his perfect coding abilities. However, it acknowledges regular developers do need tests. It then provides an overview of TDD basics like the "red-green-refactor" process. The document addresses objections to TDD, noting that tests improve code quality, allow refactoring with confidence, and help communicate requirements to stakeholders. It encourages putting more effort into testing and viewing test code as a priority like production code. The conclusion suggests even Chuck Norris should consider writing unit tests.
ReadyTalk wanted an automated testing solution that could be easily used by their Agile team. They implemented Silk4J, which provided lightweight and easy-to-use test automation. Silk4J allowed for early detection of defects, freeing up team members for innovation. It has helped ReadyTalk launch new features confidently and efficiently while continuing to improve reliability through more frequent testing.
This document discusses Behavior Driven Development (BDD), which is an agile software development methodology that focuses on defining and testing business requirements through executable specifications and acceptance criteria. The document covers the key concepts of BDD, including outside-in development, pull-based planning, and defining behavior through user stories and scenarios. It also discusses how BDD compares to other techniques like test-driven development and finite state machines. The overall goal of BDD is to facilitate collaboration between developers and business stakeholders to build the right product through living documentation of desired behaviors.
QA Interview Questions With Answers from software testing experts. Frequently asked questions in Quality Assurance (QA) interview for freshers and experienced professionals.
1. Acceptance Test Driven Development (ATDD) involves writing tests before code to validate requirements and prevent defects. The tests are written by a triad of customer, developer, and tester.
2. ATDD focuses on testing behavior and outcomes rather than internal code or data structures. Tests validate that the system meets requirements from an external perspective.
3. Acceptance tests follow a Given/When/Then structure where the Given sets up initial conditions, When performs an action, and Then verifies expected outcomes. ATDD shifts testing left in the development cycle.
This document provides an overview of test-driven development (TDD). It discusses what TDD is, how the TDD process works through iterations of writing tests first then code, and the benefits it provides like increased confidence in changes and documentation of requirements. The document covers TDD basics like the red-green-refactor cycle and challenges in unit testing like dependencies. It emphasizes focusing on writing tests before code and not designing code in your head first. The document also compares mocking frameworks and argues the benefits of commercial frameworks like Typemock Isolator.
ATDD is about improving communication between stakeholders to develop the right product. It involves collaboratively specifying requirements using examples of desired system behaviors in a testable format. These executable specifications are then automated as tests to prevent defects and ensure the system works as intended. SpecFlow is one framework that can be used to automate acceptance criteria written in a Given-When-Then style.
Test-Driven Development is about approaching software development from a test perspective and knowing how to use the tools (e.g. JUnit, Mockito) to effectively write tests.
Source code examples @...
https://github.com/codeprimate-software/test-driven-development
TDD vs. ATDD - What, Why, Which, When & WhereDaniel Davis
This is a slide deck for a discussion about Test Driven Development (TDD) and Acceptance Test Driven Development (ATDD) and starting to explore the differences between them. Get some insight into why we use them and the advantages and disadvantages of both, as well as, get a better understanding of which should be used where and when. By the end of the session you should be well along the path to TDD vs. ATDD enlightenment.
Pivotal Labs Open View Presentation Quality Assurance And Developer Testingguestc8adce
1) The document discusses moving from a traditional development model where QA finds bugs after development is complete, to a model where quality is the focal point and everyone is responsible for testing.
2) It advocates for automating tests and running them frequently during development to find bugs early and have confidence in changes.
3) The goal is to develop software quickly with low defect rates by shifting left the work of finding bugs through techniques like test-driven development.
Just Java2007 - Daniel Wildt - Tools For Java Test AutomationDaniel Wildt
The document discusses tools and techniques for Java test automation, including unit testing, functional testing, test-driven development, continuous integration, and ensuring test quality and coverage. It covers topics like white box and black box testing, mock objects, Selenium for functional tests, JMeter for stress testing, and Emma for code coverage. References and links to tools like JUnit, FitNesse, EasyMock, CheckStyle, and CruiseControl are also provided.
Scaling Continuous Integration in the CloudAtlassian
This document discusses scaling continuous integration in the cloud. It covers topics like automated testing, continuous integration, and using map reduce testing to parallelize test execution across many compute nodes in the cloud. Continuous integration aims for visibility of test results, reliability of the build process, and low latency between check-ins and test feedback. The document proposes using Hadoop and map reduce to distribute test loads across thousands of nodes to further reduce latency and enable massive parallelization of tests.
ICTSS 2010 - Iterative Software Testing Process for Scrum and Waterfall ProjectsEliane Collins
1. The document describes an iterative software testing process used for Scrum and Waterfall projects at the Nokia Technology Institute.
2. The process involves test planning, specification, execution and reporting using open source tools like TestLink, Mantis, Selenium, and Marathon. Automated tests were created to test web and desktop applications.
3. The process was applied to two projects - a customer survey system using Scrum and a factory production monitoring system using Waterfall. Test activities were broken into iterations to prioritize testing of key features. Automation helped improve test coverage, efficiency and catch defects earlier.
The document discusses software quality testing services provided by Independent Testing Service including software testing, localization and maintenance support. It outlines their technical expertise in areas like programming languages, databases, web servers and testing tools. The document also provides examples of their software testing process and a case study of projects they have worked on.
This document discusses test escape analysis (TEA), which analyzes defects that escaped testing to help improve testing efficiency. TEA examines past defects to identify patterns and trends, such as which test types or techniques could have caught which defects earlier. The benefits of early defect detection through improved testing are reduced costs, reputation, and engineer workload. TEA data from defect histories can show where to apply testing resources and procedure changes for maximum return.
Testing for continuous delivery with visual studio 2012Cristiano Caetano
Visual Studio 2012 provides tools that help automate and speed up testing to keep pace with agile development cycles. It removes bottlenecks in the testing process through features that record and replay manual tests, transform manual tests into automated code, and monitor test progress. The guide shows how to set up testing tools in Visual Studio and use unit tests, coded UI tests, lab environments, and continuous integration to satisfy the demands of agile and continuous delivery.
My presentation at Arvato Systems about TDD. This presentation is based on my own knowledge and experience. I go through two full TDD cycles programmed in Eclipse presenting the written code in the presentation.
Building Mobile (app) Masterpiece with Distributed AgileWee Witthawaskul
The document discusses how the speaker built a distributed agile team to develop a successful mobile app for Morningstar for iPad. Key points include:
- The project started in 2011 and involved developing concurrently for iOS and a Java backend.
- The team implemented agile practices like continuous integration, automated testing, and tracking work in JIRA to facilitate distributed development.
- The app launched in 2013 and became a top 10 finance app, demonstrating the effectiveness of their distributed agile approach to mobile development.
This document discusses the benefits of test-driven development (TDD) and counters some common arguments against writing unit tests. It begins by joking that legendary martial artist Chuck Norris does not need unit tests due to his perfect coding abilities. However, it acknowledges regular developers do need tests. It then provides an overview of TDD basics like the "red-green-refactor" process. The document addresses objections to TDD, noting that tests improve code quality, allow refactoring with confidence, and help communicate requirements to stakeholders. It encourages putting more effort into testing and viewing test code as a priority like production code. The conclusion suggests even Chuck Norris should consider writing unit tests.
ReadyTalk wanted an automated testing solution that could be easily used by their Agile team. They implemented Silk4J, which provided lightweight and easy-to-use test automation. Silk4J allowed for early detection of defects, freeing up team members for innovation. It has helped ReadyTalk launch new features confidently and efficiently while continuing to improve reliability through more frequent testing.
This document discusses Behavior Driven Development (BDD), which is an agile software development methodology that focuses on defining and testing business requirements through executable specifications and acceptance criteria. The document covers the key concepts of BDD, including outside-in development, pull-based planning, and defining behavior through user stories and scenarios. It also discusses how BDD compares to other techniques like test-driven development and finite state machines. The overall goal of BDD is to facilitate collaboration between developers and business stakeholders to build the right product through living documentation of desired behaviors.
QA Interview Questions With Answers from software testing experts. Frequently asked questions in Quality Assurance (QA) interview for freshers and experienced professionals.
1. Acceptance Test Driven Development (ATDD) involves writing tests before code to validate requirements and prevent defects. The tests are written by a triad of customer, developer, and tester.
2. ATDD focuses on testing behavior and outcomes rather than internal code or data structures. Tests validate that the system meets requirements from an external perspective.
3. Acceptance tests follow a Given/When/Then structure where the Given sets up initial conditions, When performs an action, and Then verifies expected outcomes. ATDD shifts testing left in the development cycle.
This document provides an overview of test-driven development (TDD). It discusses what TDD is, how the TDD process works through iterations of writing tests first then code, and the benefits it provides like increased confidence in changes and documentation of requirements. The document covers TDD basics like the red-green-refactor cycle and challenges in unit testing like dependencies. It emphasizes focusing on writing tests before code and not designing code in your head first. The document also compares mocking frameworks and argues the benefits of commercial frameworks like Typemock Isolator.
ATDD is about improving communication between stakeholders to develop the right product. It involves collaboratively specifying requirements using examples of desired system behaviors in a testable format. These executable specifications are then automated as tests to prevent defects and ensure the system works as intended. SpecFlow is one framework that can be used to automate acceptance criteria written in a Given-When-Then style.
Test-Driven Development is about approaching software development from a test perspective and knowing how to use the tools (e.g. JUnit, Mockito) to effectively write tests.
Source code examples @...
https://github.com/codeprimate-software/test-driven-development
TDD vs. ATDD - What, Why, Which, When & WhereDaniel Davis
This is a slide deck for a discussion about Test Driven Development (TDD) and Acceptance Test Driven Development (ATDD) and starting to explore the differences between them. Get some insight into why we use them and the advantages and disadvantages of both, as well as, get a better understanding of which should be used where and when. By the end of the session you should be well along the path to TDD vs. ATDD enlightenment.
Pivotal Labs Open View Presentation Quality Assurance And Developer Testingguestc8adce
1) The document discusses moving from a traditional development model where QA finds bugs after development is complete, to a model where quality is the focal point and everyone is responsible for testing.
2) It advocates for automating tests and running them frequently during development to find bugs early and have confidence in changes.
3) The goal is to develop software quickly with low defect rates by shifting left the work of finding bugs through techniques like test-driven development.
Just Java2007 - Daniel Wildt - Tools For Java Test AutomationDaniel Wildt
The document discusses tools and techniques for Java test automation, including unit testing, functional testing, test-driven development, continuous integration, and ensuring test quality and coverage. It covers topics like white box and black box testing, mock objects, Selenium for functional tests, JMeter for stress testing, and Emma for code coverage. References and links to tools like JUnit, FitNesse, EasyMock, CheckStyle, and CruiseControl are also provided.
Scaling Continuous Integration in the CloudAtlassian
This document discusses scaling continuous integration in the cloud. It covers topics like automated testing, continuous integration, and using map reduce testing to parallelize test execution across many compute nodes in the cloud. Continuous integration aims for visibility of test results, reliability of the build process, and low latency between check-ins and test feedback. The document proposes using Hadoop and map reduce to distribute test loads across thousands of nodes to further reduce latency and enable massive parallelization of tests.
ICTSS 2010 - Iterative Software Testing Process for Scrum and Waterfall ProjectsEliane Collins
1. The document describes an iterative software testing process used for Scrum and Waterfall projects at the Nokia Technology Institute.
2. The process involves test planning, specification, execution and reporting using open source tools like TestLink, Mantis, Selenium, and Marathon. Automated tests were created to test web and desktop applications.
3. The process was applied to two projects - a customer survey system using Scrum and a factory production monitoring system using Waterfall. Test activities were broken into iterations to prioritize testing of key features. Automation helped improve test coverage, efficiency and catch defects earlier.
The document discusses software quality testing services provided by Independent Testing Service including software testing, localization and maintenance support. It outlines their technical expertise in areas like programming languages, databases, web servers and testing tools. The document also provides examples of their software testing process and a case study of projects they have worked on.
Shirly Ronen - User story testing activitiesAgileSparks
The document discusses testing user stories throughout the development process from planning through deployment. It emphasizes testing early by writing automated unit tests during development. Testers work closely with developers to understand the approach and test in the development environment. This helps find defects early and prevent issues. The goal is to deliver working software through continuous testing, including acceptance criteria, exploratory testing, automation, and regression testing.
The document describes Unosquare's delivery centers located across the United States and Mexico, which provide services such as software development, QA testing, and project management using agile methodologies and tools. It highlights benefits like lower costs, ease of collaboration due to proximity, and cultural similarities that make working with the Mexico delivery center attractive. Sample metrics are also provided showing the company's testing capabilities.
The document presents a tool called PSP PAIR that automatically analyzes performance data from the Personal Software Process (PSP) to identify problems and recommend improvements. PSP generates large amounts of data but analyzing it manually is time-consuming. PSP PAIR addresses this by developing a performance model and using it to analyze time estimation accuracy and other metrics from PSP data. It identifies potential problems and suggests actions like stabilizing productivity. An evaluation found PSP PAIR could help engineers using PSP by speeding up analysis and proposing targeted improvements. Future work includes validating the model with more data and expanding PSP PAIR to support the Team Software Process.
WFS is a consulting company that helps improve software development processes for medium and large Canadian companies. They assess clients' SDLC practices and prioritize areas for improvement, such as iterative development, continuous integration, and test-driven development. Assessments involve surveys of executives and development teams. The outputs identify strengths and weaknesses, prioritize goals like time to market and quality, and show variances between groups. WFS then provides roadmaps to strengthen practices and better align teams to priority business dimensions to reduce costs and improve ROI of software projects.
This document discusses agile testing practices that help mitigate technical risk. It describes eight key testing practices in agile: acceptance test driven development, test driven development, automated system tests, automated unit tests, exploratory testing, continuous integration, collective test ownership, and rehearsing delivery. These practices like ATDD, TDD, and continuous integration help reduce ambiguity, dependencies, assumptions, and risks to capacity in agile software development.
Testing is integral to any Agile development process. This slide deck offers an overview of Agile testing-related practices and explains how they work together to mitigate the most common sources of risk on any project.
The document discusses the elusive nature of software quality. It defines quality as meeting user requirements as well as usability factors. Measuring quality is challenging as it depends on perspectives. Process improvements like total quality management, six sigma and software quality function deployment can help improve quality by focusing on customer needs and continuous process enhancement. However, achieving high quality is difficult given the complex nature of software and how it depends on many interconnected factors including hardware, people, processes, and other software.
This document provides the schedule and topics for a System Quality course taught by Professor Arthur Goldberg in Fall 2002. The course covers various aspects of system and software quality such as software development best practices, peer reviews, software testing, data quality, data standardization, software project effort estimation, orthogonal defect classification, and machine learning approaches to data matching and merging. Guest speakers are scheduled to discuss topics like extreme programming, software development disasters, and orthogonal defect classification. Readings and assignments are provided for each class.
Raghwinder Parshad is a software quality assurance professional with over 2.6 years of experience in manual testing, test planning, execution, and results analysis. He has expertise in testing web, desktop, and mobile applications on various platforms. Some of the projects he has worked on include Promo Manager for NBC Universal, Programming Deal Memo for GE NBCUniversal, and Non-Programming Tool. He is proficient with tools like HP ALM, JIRA, and Mantis. Raghwinder holds a Bachelor of Technology degree and is looking to build his career in a leading corporate environment.
This document outlines the software quality plan for an airline reservation system project. It discusses roles in quality assurance including developers writing unit tests, an on-site customer for acceptance testing, and QA ensuring quality and functionality. It also covers risk management, prioritizing use cases, infrastructure and component testing for the application server, database, OS, and hardware. User acceptance testing approaches are defined using test tools and test scenarios from user stories. Training and disaster recovery plans are also summarized.
Agile Software Development in Practice - A Developer PerspectiveWee Witthawaskul
This document provides an overview of agile software development practices from a developer perspective. It recommends adopting agile practices to increase productivity and recommends Scrum and XP as agile frameworks. It describes common agile practices like user stories, daily standups, iteration planning, testing practices like TDD, mocks and continuous integration to automate testing.
Faster apps. faster time to market. faster mean time to repairCompuware ASEAN
Developers, Test Engineers, QA Engineers, Network Engineers, Operations Managers, Production Managers and Solution Architects joined us in Singapore to learn more about APM Lifecycle
This document outlines the quality plan for an airline reservation system project. It discusses roles in quality assurance including developers, customers, and QA. The plan emphasizes frequent communication, risk management, and an agile approach. It covers quality goals for infrastructure, applications, databases, operating systems, and hardware. It also discusses deployment, user acceptance testing, training, and disaster recovery.
Objectives:
1. To understand software testing and its importance.
2. To understand the concepts of software quality.
3. To see the different classes/ levels/ types of testing.
4. To see the different test case design techniques.
5. To understand the software processes related to testing in a typical software organisation.
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Introduction to the Hypothesis: Morgan Freeman is Jimi Hendrix
The idea that Morgan Freeman is Jimi Hendrix stems from a mix of historical anomalies, physical resemblances. and a penchant for myth-making that surrounds celebrities. While Jimi Hendrix's official death in 1970 is well-documented. some theorists suggest that Hendrix did not die but instead reinvented himself as Morgan Freeman. a man who would become one of Hollywood's most revered actors. This article aims to delve into the various aspects of this hypothesis. examining its origins, the supporting arguments. and the cultural impact of such a theory.
The Genesis of the Theory
Early Life Parallels
The hypothesis that Morgan Freeman is Jimi Hendrix begins by comparing their early lives. Jimi Hendrix, born Johnny Allen Hendrix in Seattle, Washington, on November 27, 1942. and Morgan Freeman, born on June 1, 1937, in Memphis, Tennessee, have lived very different lives. But, proponents of the theory suggest that the five-year age difference is negligible and point to Freeman's late start in his acting career as evidence of a life lived before under a different identity.
The Disappearance and Reappearance
Jimi Hendrix's death in 1970 at the age of 27 is a well-documented event. But, theorists argue that Hendrix's death staged. and he reemerged as Morgan Freeman. They highlight Freeman's rise to prominence in the early 1970s. coinciding with Hendrix's supposed death. Freeman's first significant acting role came in 1971 on the children's television show "The Electric Company," a mere year after Hendrix's passing.
Physical Resemblances
Facial Structure and Features
One of the most compelling arguments for the hypothesis that Morgan Freeman is Jimi Hendrix lies in the physical resemblance between the two men. Analyzing photographs, proponents point out similarities in facial structure. particularly the cheekbones and jawline. Both men have a distinctive gap between their front teeth. which is rare and often highlighted as a critical point of similarity.
Voice and Mannerisms
Supporters of the theory also draw attention to the similarities in their voices. Jimi Hendrix known for his smooth, distinctive speaking voice. which, according to some, resembles Morgan Freeman's iconic, deep, and soothing voice. Additionally, both men share certain mannerisms. such as their calm demeanor and eloquent speech patterns.
Artistic Parallels
Musical and Acting Talents
Jimi Hendrix was regarded as one of t
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Using tests and mocks to drive the design of software
1. Test Driven Design
Using tests and mocks to drive the design of software
Attila Magyar
Microsec Plc
2012
2. ● End to End
– Real environment
● Integration
rd
– Against 3 party API
● Unit
– Isolated
3. Feedback
12
10
Feedback about Quality
8
6
4
2
0
Unit test Integration test End to end test
Growing object-oriented software guided by tests: Steve Freeman, Nat Pryce
4. Feedback
External Quality
12
10
Feedback about Quality
8
6
4
2
0
Unit test Integration test End to end test
Growing object-oriented software guided by tests: Steve Freeman, Nat Pryce
5. Feedback
External Quality
12
10
Feedback about Quality
8
6
4
2
0
Unit test Integration test End to end test
Growing object-oriented software guided by tests: Steve Freeman, Nat Pryce
6. Feedback
External Quality
12
10
Feedback about Quality
8
6
4
2
0
Unit test Integration test End to end test
Growing object-oriented software guided by tests: Steve Freeman, Nat Pryce
7. Feedback
External Quality
12
10
Feedback about Quality
8
6
4
2
0
Unit test Integration test End to end test
Growing object-oriented software guided by tests: Steve Freeman, Nat Pryce
8. Bad design:
● Rigidity
● Fragility
● Immobility
Feedback
External Quality
12 Code Quality
10
Feedback about Quality
8
6
4
2
0
Unit test Integration test End to end test
Growing object-oriented software guided by tests: Steve Freeman, Nat Pryce
9. Bad design:
● Rigidity
● Fragility
● Immobility
Feedback
External Quality
12 Code Quality
10
Feedback about Quality
8
6
4
2
0
Unit test Integration test End to end test
Growing object-oriented software guided by tests: Steve Freeman, Nat Pryce
10. Bad design:
● Rigidity
● Fragility
● Immobility
Feedback
External Quality
12 Code Quality
10
Feedback about Quality
8
6
4
2
0
Unit test Integration test End to end test
Growing object-oriented software guided by tests: Steve Freeman, Nat Pryce
11. End to End vs Unit tests
● End to End: ● Unit tests:
● Slow execution and feedback ● Fast execution and feedback
● Sometimes unreliable ● Always deterministic
● Difficult and time-consuming to ● Easy to write and automate
write ● Easy to localize bugs
● Difficult to localize bugs ● Verifies basic correctness
● Verifies configuration, integration,
environment
13. Unit tests:
state based testing
public class Light { // Test
private boolean on;
light.switchOn();
public void switchOn(){
on = true; assertTrue(light.isOn());
}
public void switchOff(){
on = false; light.switchOff();
}
public boolean isOn(){ assertFalse(light.isOn())
return on;
}
}
14. Ticket Machine
class TrainTicketMachine implements TicketMachine {
private List<Integer> pressedButtons = new ArrayList<Integer>();
[...]
public void press(int buttonNumber) {
pressedButtons.add(buttonNumber);
}
public void enter() {
ticketReserver.reserve(new ArrayList<Integer>(pressedButtons));
}
}
16. Ticket Persister
Ticket Machine
DB
public interface TicketReserver {
void reserve(List<Integer> ticketCode);
}
Ticket Reserver
17. Messages=[
reserve(1,2,3),
Ticket Machine reserve(4,5,6)]
Has received 123?
Ticket Reserver
18. public class Spy implements TicketReserver {
private List<Integer> received = new ArrayList<Integer>();
@Override
public void reserve(List<Integer> codes) {
received.addAll(codes);
}
public void assertReceived(List<Integer> codes) {
assertThat(received, equalTo(codes));
}
}
@Test
public void reservesTicketUsingEnteredCodes() {
// Given
Spy spy = new Spy();
ticketMachine = new TrainTicketMachine(spy);
// When
ticketMachine.press(1);
ticketMachine.press(2);
ticketMachine.enter();
// Then
spy.assertReceived(Arrays.asList(1, 2));
}
19. @RunWith(MockitoJUnitRunner.class)
public class TrainTickerReserverTest {
TrainTicketMachine ticketMachine;
@Mock TicketReserver reserver;
@Test
public void reservesTicketUsingEnteredCodes() {
// Given
ticketMachine = new TrainTicketMachine(reserver);
(spyito)
// When
ticketMachine.press(1); ticketMachine.press(2);
ticketMachine.enter();
// Then
verify(reserver).reserve(Arrays.asList(1, 2));
}
}
@RunWith(JMock.class)
public class TrainTickerReserverTest {
@Mock TicketReserver reserver;
Mockery context = new JUnit4Mockery();
TrainTicketMachine ticketMachine;
@Test
public void reservesTicketUsingEnteredCodes() {
context.checking(new Expectations() {{
oneOf(reserver).reserve(Arrays.asList(1, 2));
}});
ticketMachine = new TrainTicketMachine(reserver);
ticketMachine.press(1); ticketMachine.press(2);
ticketMachine.enter();
}
}
42. rd
3 party API mocking
public class Greetings {
[...]
public void greetUsers() throws SQLException {
Statement stmt = connection.createStatement();
sayHelloTo(stmt.executeQuery("select name from users where type=1 or type=2"));
}
}
@Test
public void saysHelloToUsers() throws SQLException {
when(conn.createStatement()).thenReturn(stmt);
when(stmt.executeQuery("select name from users where type=1 or type=2")).thenReturn(users);
movies.greetUsers();
[...]
}
43. rd
3 party API mocking
public class Greetings {
[...]
public void greetUsers() throws SQLException {
Statement stmt = connection.createStatement();
sayHelloTo(stmt.executeQuery("select name from users where type=1 or type=2"));
}
}
Duplication
@Test
public void saysHelloToUsers() throws SQLException {
when(conn.createStatement()).thenReturn(stmt);
when(stmt.executeQuery("select name from users where type=1 or type=2")).thenReturn(users);
movies.greetUsers();
[...]
}
49. Test smells
Difficult to instantiate SUT
● Hidden dependency (e.g.: Singleton)
● Insufficient domain separation
50. rd
3rd party
3 party
Application domain
Adapter
Adapter
msg
BL
BL
Adapter
BL
Domain of the outside world 3rd party
Object must send messages to it peers in terms of its domain language.
51. Application wiring
rd
3 party - „new” and „set”
3rd party
Application domain
Adapter
Adapter
msg
BL
BL
Adapter
BL
- Main method
- Spring/Guice
- XML/Annotations
Domain of the outside world 3rd party
52. Application wiring
rd
3 party - „new” and „set”
3rd party
Application domain
MOCK
Unit test MOCK
SUT
MOCK
Adapter
BL
- Main method
- Spring/Guice
- XML/Annotations
Domain of the outside world 3rd party
53. Application wiring
rd
3 party - „new” and „set”
Real
Integration
Application domain
SUT
Adapter
BL
BL
Adapter
BL
- Main method
- Spring/Guice
- XML/Annotations
Domain of the outside world 3rd party
54. Application wiring
End to end test rd
3 party - „new” and „set”
rd
3 party
Application domain
Adapter
Adapter
BL
BL
Adapter
BL
- Main method
- Spring/Guice
- XML/Annotations
Domain of the outside world 3rd party
56. How does it work?
A
● Write a failing test
for A
57. How does it work?
Interface discovery
A B
● Write a failing test
for A
● Introduce the
interface of a
collaborator B
58. How does it work?
Interface discovery
A B
● Write a failing test
for A
● Introduce the
interface of a
collaborator B
● Mock the interface
● Use the mock to
Finish A
59. How does it work?
Interface discovery Interface discovery
A B C
● Write a failing test ● Write a failing test ● C is an adapter
for A for B ● Use integration
● Introduce the ● Introduce the test for this
interface of a B interface of C
● Mock the interface ● Mock the interface
● Use the mock to ● "Ensure contract
compliance"
finish A between A and B
● Use the mock to
finish B
60. Benefits
● Early design feedback (SRP, DIP, OCP, etc..)
● Mocks encourage the use of „Tell Don't Ask” principle
→ Well encapsulated code
● Outside-In approach
● Simpler interface, (and implementation)
● No dead code
● Less debugging
● More coverage →
● Higher confidence in code and refactoring
● Less post-release bugs
62. Jersey/Apache
CommandListener
Http client
Command
REST
Translator Command
Catalog
Money Product
Product Entered
Sale Started
Catalog
Sale Ended
Product
java.awt.print
e
ric
tP
uc
od Barcode
pr
SaleEventListener
Receipt
Printer
priceCalculated Receiver
CashRegister
63. References
● Growing Object-Oriented Software Guided by Tests
● Steve Freeman, Nat Pryce
● Why You Don't Get Mock Objects
● Gregory Moeck, rubyconf 2011
● Using Mocks And Tests To Design Role-Based Objects
● Isaiah Perumalla
● Mock Roles, not Objects
● Steve Freeman, Nat Pryce, Tim Mackinnon, Joe Walnes, High Holborn
● The Deep Synergy Between Testability and Good Design
● Michael Feathers
● Surely the Mars Rover Needed Integrated Tests! (Maybe Not?)
● J. B. Rainsberger
● Joey Devilla SOLID principle posters