It is one of the famous excuses for developer not writing unit test.
Presented in KTM JS, here I have discussed on what other benefits dev can achieve from unit test apart from problem findings.
When you work in a small collocated team many engineering practices and approaches are relatively easy to use and adapt. In large project with many teams working on the same product this task is not so simple. I want to share experience report in implementing Code Review practice in big product development team (more than 150 people, 10+ feature teams). In this talk we will review what approaches works in such setup and what don’t work, what tools and additional practices are needed to support Code Review and make it more effective, what difficulties and blockers will you probably see in the real life cases, what useful metrics could be produced by this practice.
The Essentials Of Test Driven Development Rock Interview
Test Driven Development is the fastest method to get software onto the market. Being one of the most used methods in the present business world, here is why the method is essential.
TDD is a software development practice where tests are written before production code to define requirements. It follows three rules: 1) Write a test that fails without production code. 2) Write just enough production code to pass the test. 3) Refactor code without changing external behavior. This ensures code is properly tested and reduces bugs through frequent integration and refactoring enabled by the test suite. TDD results in testable, loosely coupled code and faster delivery times.
TDD is a process where test code is written before or alongside production code to drive the design and development of a project. It involves writing automated unit tests to force decoupling of dependencies and provide comprehensive testing. TDD helps think through requirements and design before coding to catch early bugs. It is an incremental process where tests are written and run continuously to build confidence with each new feature added. The key steps are to write a test, make it compile even if it fails, run it to failure, implement the code to pass the test, then refactor and repeat the process.
The document discusses ways to help programmers write better tests, such as starting a quality culture, running TDD/refactoring competitions, joining code reviews, and pairing/mob programming. It notes common problems with tests like unclear names, complex setups, and lack of teardown. Testers can help by focusing tests on one thing, using clear data, and writing tests a customer would understand. Challenges include applying skills to real code and some programmers not wanting to pair.
Test Driven Development (TDD) is a technique where tests are written before code to define desired functionality, with the cycle of writing a test, seeing it fail, then writing code to pass the test while refactoring code for quality. TDD ensures requirements are met, forces clean code principles like isolated and decoupled components, and leads to improved test coverage and faster debugging. For effective TDD, tests should be clean, self-documented, have single asserts, run fast, be independent, and have boolean outputs. While it may initially slow development time, TDD provides long term benefits.
Nikolay Alimenkou and Aleksey Solntsev will show how to migrate from Ant project to Maven2 project and start using full power of XP engineering practices: CI, TDD, refactoring.
When you work in a small collocated team many engineering practices and approaches are relatively easy to use and adapt. In large project with many teams working on the same product this task is not so simple. I want to share experience report in implementing Code Review practice in big product development team (more than 150 people, 10+ feature teams). In this talk we will review what approaches works in such setup and what don’t work, what tools and additional practices are needed to support Code Review and make it more effective, what difficulties and blockers will you probably see in the real life cases, what useful metrics could be produced by this practice.
The Essentials Of Test Driven Development Rock Interview
Test Driven Development is the fastest method to get software onto the market. Being one of the most used methods in the present business world, here is why the method is essential.
TDD is a software development practice where tests are written before production code to define requirements. It follows three rules: 1) Write a test that fails without production code. 2) Write just enough production code to pass the test. 3) Refactor code without changing external behavior. This ensures code is properly tested and reduces bugs through frequent integration and refactoring enabled by the test suite. TDD results in testable, loosely coupled code and faster delivery times.
TDD is a process where test code is written before or alongside production code to drive the design and development of a project. It involves writing automated unit tests to force decoupling of dependencies and provide comprehensive testing. TDD helps think through requirements and design before coding to catch early bugs. It is an incremental process where tests are written and run continuously to build confidence with each new feature added. The key steps are to write a test, make it compile even if it fails, run it to failure, implement the code to pass the test, then refactor and repeat the process.
The document discusses ways to help programmers write better tests, such as starting a quality culture, running TDD/refactoring competitions, joining code reviews, and pairing/mob programming. It notes common problems with tests like unclear names, complex setups, and lack of teardown. Testers can help by focusing tests on one thing, using clear data, and writing tests a customer would understand. Challenges include applying skills to real code and some programmers not wanting to pair.
Test Driven Development (TDD) is a technique where tests are written before code to define desired functionality, with the cycle of writing a test, seeing it fail, then writing code to pass the test while refactoring code for quality. TDD ensures requirements are met, forces clean code principles like isolated and decoupled components, and leads to improved test coverage and faster debugging. For effective TDD, tests should be clean, self-documented, have single asserts, run fast, be independent, and have boolean outputs. While it may initially slow development time, TDD provides long term benefits.
Nikolay Alimenkou and Aleksey Solntsev will show how to migrate from Ant project to Maven2 project and start using full power of XP engineering practices: CI, TDD, refactoring.
This document discusses best practices for code reviews. It provides guidelines for conducting effective code reviews, including reviewing no more than 400 lines of code at a time and taking 60-90 minutes for reviews. It also lists fundamentals to check like warnings, unused code, and naming conventions. Popular code review tools are mentioned. Conducting code reviews can improve code quality, catch bugs earlier, share knowledge, and mentor junior developers.
Test-driven development (TDD) is a software development technique where unit tests are written before code to define desired functionality. Writing tests first helps produce code with better design, lower maintenance costs, and fewer bugs. Key principles of TDD include writing code only to pass failing tests and eliminating duplication. Benefits include better test coverage, easier refactoring, and preventing regressions. TDD helps developers act as users to define behavior through interactions between system components.
When you get lost in api testing #ForumPHPPaula Čučuk
If you are not writing tests yet, you should start. Tests will improve the quality of your code, reduce bugs and probably force you to think more about design and quality. Actually, the hardest thing is to start and figure out which type of tests to write.
So you start researching and you find a lot of different materials and get even more confused.Even when you decide what type of tests to use, it can be hard to decide how to test some specific logic in your app.
Don’t give up! We have some tips we learned along the way that will hopefully make your life easier. In this talk you will hear about different test types and when to use them. We’ll also show some tools for checking quality of your test.
Funny stories and anti-patterns from DevOps landscapeMikalai Alimenkou
During last several years DevOps became strong buzzword used almost in every project, team and company. But almost everywhere it is used in very funny and strange context. For example, existing ops guys are renamed to DevOps just to sell them to the client for more money. Or DevOps is used as new job title for some magically powerful person who is able to operate cloud environment and modern infrastructure related tools, leading team of old school ops and participating in management meetings. In this talk I’m going to review all different anti-patterns and bad practices in DevOps landscape using stories from my personal experience as Delivery Manager and independent consultant.
The document contains 5 practice questions for an expert report writer certification. The questions cover topics like the limit on view components that can be added to a view in View Editor 2.0, how to pass data between main and sub-views, syntax that would cause a SQL error, calculating total fees and disbursements for a report, and common areas that cause inaccurate report line items. A bonus question asks about considerations for the counter used in an AfterSelect loop to delete rows from the result set.
Most of the people might say that software test engineers do not write code. Testers normally need completely different skill set which could be a mix of Java, C, Ruby, and Python.
That is not all you require to be a successful tester. A tester requires having a good knowledge of the software manuals and automation tools.
Depending on the complexity of a project, a software testing engineer may write more complicated code than the developer.
These are the slides we presented at the 2009 Montreal CodeCamp for our FluentSelenium test DSL. FluentSelenium demonstrates how it is possible to make test code cleaner by introducing appropriate test abstractions.
see http://fluentselenium.codeplex.com/
This document discusses test driven development (TDD) and automation for PHP projects. It covers what TDD is, why it should be done, where tests should run, who should adopt TDD, and why unit testing, code coverage, code sniffing and Selenium are important. It also discusses tools for PHP TDD like Xdebug, PHPUnit, PHP_CodeSniffer and IDEs. The document provides examples of writing test cases with the red-green-refactor process and integrating TDD into a build system with automated testing on every code change.
This document discusses agile testing and its principles. It defines agile testing as testing practices that follow the agile manifesto and treat development as the customer of testing. The key principles of agile testing are that individuals and interactions are valued over processes, working software is valued over documentation, and responding to change is valued over following a plan. It also discusses specific agile development methodologies like extreme programming and the role of testing in agile projects.
With Agile adoption many things have changed in quality assurance and tester role. Ourdays the whole team is responsible for product quality. But not so many people understand how such high level approaches work in practice, how developer interacts with tester, what stages each task passes on the way from requirements specification to customer acceptance, who is doing what at each stage.
I have met only few teams, where developer and tester work closely together on a daily basis. Some projects try to same money on developer's time, others try to have independent testing team without influence from developers side. Developers also don't understad how tester could help them in practice. But this pair is able to significantly improve product quality and avoid many common issues.
In this talk we will cover motivation behind pair work of develoeper and tester, concrete practices and approaches at different stages, and advantages that both sides could achieve from such work style.
This document discusses Test-Driven Development (TDD). It defines TDD as writing unit tests before writing any production code. TDD helps ensure code is consistently refactored for better design. The document outlines the TDD process of writing a test, seeing it fail, writing code to pass the test, then refactoring. It discusses using TDD with legacy code by refactoring code to be testable. Sample unit tests are provided to demonstrate testing default constructor values. Benefits of TDD include better code design, earlier defect detection, and fewer defects in production releases.
Presentation from Agile Base Camp 2 conference (Kiev, May 2010) and AgileDays'11 (Moscow, March 2011) about one of the most useful engineering practices from XP world.
This document discusses test driven development (TDD) for testers. It provides an overview of TDD, including writing tests before code, different types of tests, and the testing roles of developers versus testers. Developers are said to be "solution space" people who write unit and integration tests to drive code design, while testers are "problem space" people who focus on exploring potential problems and edge cases without limitations. Both developers and testers should work to avoid redundant testing and place the right types of tests in the right locations.
Technical debt can accumulate when teams prioritize quickly delivering features over maintaining quality. This leads to slower development and more bugs over time. Automation helps reveal technical debt through continuous integration tests, code inspections, and trend analysis. As teams automate their build, deployment, and testing processes, they often discover previously unknown issues. Both direct testing and the learning from automation efforts help teams understand and address technical debt. Managing technical debt through automation provides benefits at both the team and enterprise levels.
This document provides an overview of code review practices. It discusses why code review is important to improve code quality, readability and maintainability. It describes different types of code review including over-the-shoulder, pair programming, automated and various time-based methods. Tools for facilitating code review are also presented, such as Review Board, Gerrit, Fisheye/Crucible and SmartBear CodeCollaborator. The goal of the document is to educate about best practices for conducting code reviews.
How to successfully grow a code review cultureNina Zakharenko
As a team grows, code ownership is distributed. Code review becomes increasingly important to support the maintainability of complex codebases. An effective code base is on that can be worked on collaboratively by a team.
In this talk we'll discuss how to introduce a successful code review culture to your development team that will foster the idea of shared ownership. This in turn will result in a happy and healthy code base.
https://webexpo.net/prague2016/talk/how-to-successfully-grow-a-code-review-culture/
Code Review tool for personal effectiveness and waste analysisMikalai Alimenkou
Usually it is hard to analyze personal effectiveness and detect wastes in development process because developer’s work decomposition is not transparent and available for analysis. As a good sample of ineffective process imagine developer, who spends 1 day on task implementation and then reimplements it several times according to code review notes during next 2 days. Or another developer, who is waiting for code review during 2 days, switching context to other tasks, finally gets notes and switches back to initial task, trying to refresh all details in his head. And so on and so forth…
Code review tool usage helps to aggregate lots of useful information about any code change at any stage (static analysis, code review, rework, acceptance, integration into main branch). In this talk I’m going to demontrate how this information could be used for detailed analysis of development effectiveness and wastes detection. Based on mentioned analysis you could implement many improvements for your development process and then measure their success.
This document discusses unit testing and its benefits. It begins by outlining some questions about unit testing, then compares unit tests to UI tests. Unit tests are faster, test individual functions, and make code easier to change and refactor. The document provides an example of unit testing a password validation function in PHP Laravel. It discusses that while test coverage is a quality metric, high coverage alone does not guarantee high quality. It argues that internal quality through practices like unit testing does not require tradeoffs with development speed, and can actually improve productivity by reducing unnecessary tasks and lead time. Maintaining clean code through practices like unit testing is important for both quality and speed.
The document discusses testing concepts such as code with tests vs without tests, test-oriented development, and different types of testing including unit testing, integration testing, and acceptance testing. It provides examples of test-driven development (TDD) and behavior-driven development (BDD) processes. The document also discusses tips for testing, including only testing what is necessary and identifying the appropriate types of testing for an application. Frameworks and tools for test automation and continuous integration are also mentioned.
This document discusses best practices for code reviews. It provides guidelines for conducting effective code reviews, including reviewing no more than 400 lines of code at a time and taking 60-90 minutes for reviews. It also lists fundamentals to check like warnings, unused code, and naming conventions. Popular code review tools are mentioned. Conducting code reviews can improve code quality, catch bugs earlier, share knowledge, and mentor junior developers.
Test-driven development (TDD) is a software development technique where unit tests are written before code to define desired functionality. Writing tests first helps produce code with better design, lower maintenance costs, and fewer bugs. Key principles of TDD include writing code only to pass failing tests and eliminating duplication. Benefits include better test coverage, easier refactoring, and preventing regressions. TDD helps developers act as users to define behavior through interactions between system components.
When you get lost in api testing #ForumPHPPaula Čučuk
If you are not writing tests yet, you should start. Tests will improve the quality of your code, reduce bugs and probably force you to think more about design and quality. Actually, the hardest thing is to start and figure out which type of tests to write.
So you start researching and you find a lot of different materials and get even more confused.Even when you decide what type of tests to use, it can be hard to decide how to test some specific logic in your app.
Don’t give up! We have some tips we learned along the way that will hopefully make your life easier. In this talk you will hear about different test types and when to use them. We’ll also show some tools for checking quality of your test.
Funny stories and anti-patterns from DevOps landscapeMikalai Alimenkou
During last several years DevOps became strong buzzword used almost in every project, team and company. But almost everywhere it is used in very funny and strange context. For example, existing ops guys are renamed to DevOps just to sell them to the client for more money. Or DevOps is used as new job title for some magically powerful person who is able to operate cloud environment and modern infrastructure related tools, leading team of old school ops and participating in management meetings. In this talk I’m going to review all different anti-patterns and bad practices in DevOps landscape using stories from my personal experience as Delivery Manager and independent consultant.
The document contains 5 practice questions for an expert report writer certification. The questions cover topics like the limit on view components that can be added to a view in View Editor 2.0, how to pass data between main and sub-views, syntax that would cause a SQL error, calculating total fees and disbursements for a report, and common areas that cause inaccurate report line items. A bonus question asks about considerations for the counter used in an AfterSelect loop to delete rows from the result set.
Most of the people might say that software test engineers do not write code. Testers normally need completely different skill set which could be a mix of Java, C, Ruby, and Python.
That is not all you require to be a successful tester. A tester requires having a good knowledge of the software manuals and automation tools.
Depending on the complexity of a project, a software testing engineer may write more complicated code than the developer.
These are the slides we presented at the 2009 Montreal CodeCamp for our FluentSelenium test DSL. FluentSelenium demonstrates how it is possible to make test code cleaner by introducing appropriate test abstractions.
see http://fluentselenium.codeplex.com/
This document discusses test driven development (TDD) and automation for PHP projects. It covers what TDD is, why it should be done, where tests should run, who should adopt TDD, and why unit testing, code coverage, code sniffing and Selenium are important. It also discusses tools for PHP TDD like Xdebug, PHPUnit, PHP_CodeSniffer and IDEs. The document provides examples of writing test cases with the red-green-refactor process and integrating TDD into a build system with automated testing on every code change.
This document discusses agile testing and its principles. It defines agile testing as testing practices that follow the agile manifesto and treat development as the customer of testing. The key principles of agile testing are that individuals and interactions are valued over processes, working software is valued over documentation, and responding to change is valued over following a plan. It also discusses specific agile development methodologies like extreme programming and the role of testing in agile projects.
With Agile adoption many things have changed in quality assurance and tester role. Ourdays the whole team is responsible for product quality. But not so many people understand how such high level approaches work in practice, how developer interacts with tester, what stages each task passes on the way from requirements specification to customer acceptance, who is doing what at each stage.
I have met only few teams, where developer and tester work closely together on a daily basis. Some projects try to same money on developer's time, others try to have independent testing team without influence from developers side. Developers also don't understad how tester could help them in practice. But this pair is able to significantly improve product quality and avoid many common issues.
In this talk we will cover motivation behind pair work of develoeper and tester, concrete practices and approaches at different stages, and advantages that both sides could achieve from such work style.
This document discusses Test-Driven Development (TDD). It defines TDD as writing unit tests before writing any production code. TDD helps ensure code is consistently refactored for better design. The document outlines the TDD process of writing a test, seeing it fail, writing code to pass the test, then refactoring. It discusses using TDD with legacy code by refactoring code to be testable. Sample unit tests are provided to demonstrate testing default constructor values. Benefits of TDD include better code design, earlier defect detection, and fewer defects in production releases.
Presentation from Agile Base Camp 2 conference (Kiev, May 2010) and AgileDays'11 (Moscow, March 2011) about one of the most useful engineering practices from XP world.
This document discusses test driven development (TDD) for testers. It provides an overview of TDD, including writing tests before code, different types of tests, and the testing roles of developers versus testers. Developers are said to be "solution space" people who write unit and integration tests to drive code design, while testers are "problem space" people who focus on exploring potential problems and edge cases without limitations. Both developers and testers should work to avoid redundant testing and place the right types of tests in the right locations.
Technical debt can accumulate when teams prioritize quickly delivering features over maintaining quality. This leads to slower development and more bugs over time. Automation helps reveal technical debt through continuous integration tests, code inspections, and trend analysis. As teams automate their build, deployment, and testing processes, they often discover previously unknown issues. Both direct testing and the learning from automation efforts help teams understand and address technical debt. Managing technical debt through automation provides benefits at both the team and enterprise levels.
This document provides an overview of code review practices. It discusses why code review is important to improve code quality, readability and maintainability. It describes different types of code review including over-the-shoulder, pair programming, automated and various time-based methods. Tools for facilitating code review are also presented, such as Review Board, Gerrit, Fisheye/Crucible and SmartBear CodeCollaborator. The goal of the document is to educate about best practices for conducting code reviews.
How to successfully grow a code review cultureNina Zakharenko
As a team grows, code ownership is distributed. Code review becomes increasingly important to support the maintainability of complex codebases. An effective code base is on that can be worked on collaboratively by a team.
In this talk we'll discuss how to introduce a successful code review culture to your development team that will foster the idea of shared ownership. This in turn will result in a happy and healthy code base.
https://webexpo.net/prague2016/talk/how-to-successfully-grow-a-code-review-culture/
Code Review tool for personal effectiveness and waste analysisMikalai Alimenkou
Usually it is hard to analyze personal effectiveness and detect wastes in development process because developer’s work decomposition is not transparent and available for analysis. As a good sample of ineffective process imagine developer, who spends 1 day on task implementation and then reimplements it several times according to code review notes during next 2 days. Or another developer, who is waiting for code review during 2 days, switching context to other tasks, finally gets notes and switches back to initial task, trying to refresh all details in his head. And so on and so forth…
Code review tool usage helps to aggregate lots of useful information about any code change at any stage (static analysis, code review, rework, acceptance, integration into main branch). In this talk I’m going to demontrate how this information could be used for detailed analysis of development effectiveness and wastes detection. Based on mentioned analysis you could implement many improvements for your development process and then measure their success.
This document discusses unit testing and its benefits. It begins by outlining some questions about unit testing, then compares unit tests to UI tests. Unit tests are faster, test individual functions, and make code easier to change and refactor. The document provides an example of unit testing a password validation function in PHP Laravel. It discusses that while test coverage is a quality metric, high coverage alone does not guarantee high quality. It argues that internal quality through practices like unit testing does not require tradeoffs with development speed, and can actually improve productivity by reducing unnecessary tasks and lead time. Maintaining clean code through practices like unit testing is important for both quality and speed.
The document discusses testing concepts such as code with tests vs without tests, test-oriented development, and different types of testing including unit testing, integration testing, and acceptance testing. It provides examples of test-driven development (TDD) and behavior-driven development (BDD) processes. The document also discusses tips for testing, including only testing what is necessary and identifying the appropriate types of testing for an application. Frameworks and tools for test automation and continuous integration are also mentioned.
Unit testing involves writing code to test individual units or components in isolation to determine if they are functioning as expected. Writing tests first, before production code (test-driven development or TDD) can lead to higher quality code, easier debugging, and increased confidence in changes. The TDD process involves writing a failing test, then code to pass the test, and refactoring code as needed. To apply TDD effectively, tests should focus on logical code, avoid duplications, and isolate dependencies to keep tests simple and maintainable. Both server-side and client-side code need testing, focusing on things like business rules, view models, repositories, and UI logic.
Test-driven development involves writing unit tests before code to validate functionality. Unit tests help manage changes by continuously validating code correctness and allowing code to be changed safely. While some myths exist around unit testing, it can save significant time compared to finding and fixing bugs later. Setting up projects with separate code and test folders allows tests to run independently.
Test-driven development involves writing unit tests before code to validate functionality. Unit tests help manage changes by continuously validating code correctness and allowing code to evolve safely. While some myths exist around unit testing, it is an investment that saves time by finding and fixing bugs early rather than later in the development cycle.
The document discusses various quality practices in Agile, including test-first development, acceptance test-driven development, continuous integration, and defining "done". It provides details on processes like writing tests before code, executing tests with each build, and criteria for completing stories. An experiment found that while test-first development took more time initially, it resulted in higher quality code and more test cases compared to test-last development. Continuous integration helps keep all code integrated through frequent builds and supports releasing high quality code.
This chapter discusses best practices for coding, including avoiding programming by coincidence, estimating algorithm speeds using Big O notation, refactoring code when needed to improve design, writing code that is easy to test with unit tests, and avoiding using code you don't understand from "wizards". It provides tips such as programming deliberately with a plan, testing assumptions, refactoring early and often, designing code to be testable, and understanding all code used. The chapter contains five sections on these topics.
This document provides information about an upcoming presentation on effective unit testing in MuleSoft. The presentation will be given by Josh Erney, a MuleSoft Ambassador with over 5 years of experience developing and architecting MuleSoft solutions. The presentation will focus on 5 key steps for effective unit testing: 1) Understanding the value of unit tests, 2) Asserting code meets interface contracts, 3) Writing testable code, 4) Removing noise from tests, and 5) Prioritizing valuable tests over code coverage. The presenter will provide examples and tips for writing high-quality unit tests that reduce maintenance costs and increase development velocity. Attendees will learn how to identify important tests, write testable code, and focus
Test-driven development (TDD) is a software development process where unit tests are written before code to define desired functionality through a series of short cycles: write a test, see it fail, write minimum code for it to pass, refactor code. Key benefits include more modular/extensible code, catching defects early, and increased confidence through thorough test coverage. Shortcomings include lack of full functional testing and risk of false sense of security if tests have same blind spots as code.
Test-driven development (TDD) is a software development process where unit tests are written before code to define desired functionality. The TDD cycle involves writing a failing test, then code to pass the test, and refactoring code. TDD encourages simple code design and finding defects early. Benefits include more modular, flexible code and increased productivity, while shortcomings include reliance on unit tests and potential for false sense of security. Designing for testability and managing tests is important for large systems.
Test-driven development (TDD) is a software development process where unit tests are written before code to define desired functionality. The TDD cycle involves writing a failing test, then code to pass the test, and refactoring code. TDD encourages simple code design and inspires confidence through comprehensive test coverage. Benefits include more modular, flexible code and catching defects early. Shortcomings include reliance on unit tests and potential for false sense of security. Designing for testability and managing tests is important for large systems.
Test-driven development (TDD) is a software development process where unit tests are written before code to define desired functionality. The TDD cycle involves writing a failing test, then code to pass the test, and refactoring code. TDD encourages simple code design and inspires confidence through automated testing. It helps ensure code meets requirements and is testable from the start.
Test-driven development (TDD) is a software development process where unit tests are written before code to define desired functionality. The TDD cycle involves writing a failing test, then code to pass the test, and refactoring code. TDD encourages simple code design and inspires confidence through automated testing. It helps ensure code meets requirements and is testable from the start.
Test-driven development (TDD) is a software development process where unit tests are written before code to define desired functionality. The TDD cycle involves writing a failing test, then code to pass the test, and refactoring code. TDD encourages simple code design and finding defects early. Benefits include more modular, flexible code and high test coverage catching defects early. Shortcomings include difficulty testing interfaces and potential for false sense of security if not supplemented with other testing. Designing for testability with high cohesion, loose coupling, and published interfaces supports effective TDD.
The document discusses several important topics for software development including unit testing, clean coding principles, design patterns, and useful development tools. It emphasizes that tests are important for preventing bugs and should be included in all projects. Clean coding principles like DRY, KISS and SRP help produce code that is easier to read, change and maintain. Design patterns provide solutions to common problems and a shared vocabulary for developers. Useful tools include IDEs, version control systems, code analysis tools and text editors which can help programmers work more efficiently if used properly.
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.
Unit testing is a method to test individual units of source code to determine if they are fit for use. A unit is the smallest testable part of an application. Unit tests are created by programmers during development. Test-driven development uses tests to drive the design by writing a failing test first, then code to pass the test, and refactoring the code. Unit tests should be isolated, repeatable, fast, self-documenting, and use techniques like dependency injection and mocking dependencies. Benefits of unit testing include instant feedback, promoting modularity, acting as a safety net for changes, and providing documentation.
Clean code: understanding Boundaries and Unit Testsradin reth
This document discusses principles of clean code and unit testing. It covers boundaries when using third-party code, such as writing learning tests to understand external APIs. Tests should be kept clean like production code so they remain maintainable as the code evolves. Tests that are readable, use the BUILD-OPERATE-CHECK pattern, and have one assertion per test help achieve this. The document also advocates writing tests before production code according to the Three Laws of TDD and principles of FAST tests.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
What is Augmented Reality Image Trackingpavan998932
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
5. Should you be your own judge?
Do you really need to
write a code to test a code
when you already have a team
dedicated to checking for problems?
6. Unit Test
A unit test is code that tests as small a piece of functionality (the unit) as possible,
in isolation.
Tests ensure:
1. The code meets expectations and specifications: Does what it says it should do.
2. The code continues to meet expectations over time: Avoiding regression.
6
7. 7
we don’t do testing for
production,
we make
code predictable,
scalable &
changeable
tackle the defects in user
workflow,
in the full spectrum of application
functionality
10. Confidence is a key
10
Changing already tested code is both risky and costly.
If we have unit tests in place, then we can proceed for refactoring confidently.