The core idea of lean is to eliminate/reduce non-value-added activities (termed "wastes") and thus increase customer value. The Agile itself is a lean for the software development life cycle, and I am sharing a couple of Agile best practices adopted by my teams to make the Scrum methodology more extra lean.
The presentation contains the best agile practices and their benefits in terms of Lean in an agile methodologies
Improve your development skills with Test Driven DevelopmentJohn Stevenson
A talk at the Graduate Developer community on test driven development. Helping students and graduates understand the point of a test first approach, demonstrate the tools and show how easy it is to start.
The document discusses automated testing and the RSpec testing framework. It explains that automated testing is needed to repeatedly check code output for different input values. RSpec is introduced as a library for automated testing of Ruby code. Details are provided on how to set up and run RSpec tests within a Rails project, including generating the RSpec files, running database migrations for tests, and executing the tests. Associations between models are also covered, explaining how to define relationships like has_many and belongs_to.
Most Common Core Java Practical Interview Questions - Part 1Attune World Wide
This document discusses 10 common Java interview questions and examples, including:
1) Abstract classes can have constructors, which will be called when extending classes are instantiated.
2) Dividing by 0 throws an ArithmeticException but dividing a double by 0 returns Infinity.
3) StringBuffer is mutable while String is immutable, so changes to one don't affect the other.
4) Static methods and variables can be accessed without object instantiation.
5) Variables must be declared before use and have the appropriate scope.
The document discusses techniques for effectively working with legacy code. It recommends starting by finding small parts of legacy code that can be tested without making big changes. Then use those tests to safely extend design changes. When new features are needed, change a little code and add some tests to the affected areas. This spreads tests throughout the legacy code over time. The document also provides examples of refactoring techniques like extract method, sprout method, characterization tests, subclassing and overriding methods, and extracting method objects to untangle legacy code in a safe, test-driven way.
Unit testing involves testing the smallest parts of an application individually, like testing a Calculator class's add and divide functions. Tests are written in a test class using an AAA pattern of Arrange, Act, Assert. Common assertions include assertEqual, assertTrue, assertFalse. Tests can be run from an IDE or command line and output passed/failed results. Writing tests is important for long term quality, confidence in refactoring, and enabling continuous integration. Developers are responsible for writing unit tests for their own code, with a target of around 70% code coverage.
This document discusses strategies for refactoring legacy code to improve its design and maintainability. It defines refactoring as changing code structure without altering functionality. The key steps outlined are to first add new functionality, then refactor, then add more functionality. Code "smells" that indicate areas for refactoring include duplicate code, long methods, large classes, and more. Tools can help detect smells. Technical debt should be paid off incrementally by refactoring in small batches while ensuring tests pass. Specific refactoring techniques include autoloading, consolidating classes, removing globals, replacing instantiation with factories, extracting logic, and more. Testing is important throughout the refactoring process.
Working effectively with legacy code chapter1Hiroaki NAKADA
This document discusses working with legacy code and reasons for changing code. It notes that while code may not be object-oriented or beautiful, lack of tests makes changing code risky. Tests allow for refactoring even awful code. The four reasons for changing code are adding features, fixing bugs, refactoring, and optimizing. Changes affect structure, new functions, existing functions, resources, and test code depending on the reason. Changing code is difficult because it's hard to determine what to change, confirm the change is correct, and ensure nothing is broken. Not changing also risks increasing complexity, decreasing change skills over time, and growing fear of changing code.
The core idea of lean is to eliminate/reduce non-value-added activities (termed "wastes") and thus increase customer value. The Agile itself is a lean for the software development life cycle, and I am sharing a couple of Agile best practices adopted by my teams to make the Scrum methodology more extra lean.
The presentation contains the best agile practices and their benefits in terms of Lean in an agile methodologies
Improve your development skills with Test Driven DevelopmentJohn Stevenson
A talk at the Graduate Developer community on test driven development. Helping students and graduates understand the point of a test first approach, demonstrate the tools and show how easy it is to start.
The document discusses automated testing and the RSpec testing framework. It explains that automated testing is needed to repeatedly check code output for different input values. RSpec is introduced as a library for automated testing of Ruby code. Details are provided on how to set up and run RSpec tests within a Rails project, including generating the RSpec files, running database migrations for tests, and executing the tests. Associations between models are also covered, explaining how to define relationships like has_many and belongs_to.
Most Common Core Java Practical Interview Questions - Part 1Attune World Wide
This document discusses 10 common Java interview questions and examples, including:
1) Abstract classes can have constructors, which will be called when extending classes are instantiated.
2) Dividing by 0 throws an ArithmeticException but dividing a double by 0 returns Infinity.
3) StringBuffer is mutable while String is immutable, so changes to one don't affect the other.
4) Static methods and variables can be accessed without object instantiation.
5) Variables must be declared before use and have the appropriate scope.
The document discusses techniques for effectively working with legacy code. It recommends starting by finding small parts of legacy code that can be tested without making big changes. Then use those tests to safely extend design changes. When new features are needed, change a little code and add some tests to the affected areas. This spreads tests throughout the legacy code over time. The document also provides examples of refactoring techniques like extract method, sprout method, characterization tests, subclassing and overriding methods, and extracting method objects to untangle legacy code in a safe, test-driven way.
Unit testing involves testing the smallest parts of an application individually, like testing a Calculator class's add and divide functions. Tests are written in a test class using an AAA pattern of Arrange, Act, Assert. Common assertions include assertEqual, assertTrue, assertFalse. Tests can be run from an IDE or command line and output passed/failed results. Writing tests is important for long term quality, confidence in refactoring, and enabling continuous integration. Developers are responsible for writing unit tests for their own code, with a target of around 70% code coverage.
This document discusses strategies for refactoring legacy code to improve its design and maintainability. It defines refactoring as changing code structure without altering functionality. The key steps outlined are to first add new functionality, then refactor, then add more functionality. Code "smells" that indicate areas for refactoring include duplicate code, long methods, large classes, and more. Tools can help detect smells. Technical debt should be paid off incrementally by refactoring in small batches while ensuring tests pass. Specific refactoring techniques include autoloading, consolidating classes, removing globals, replacing instantiation with factories, extracting logic, and more. Testing is important throughout the refactoring process.
Working effectively with legacy code chapter1Hiroaki NAKADA
This document discusses working with legacy code and reasons for changing code. It notes that while code may not be object-oriented or beautiful, lack of tests makes changing code risky. Tests allow for refactoring even awful code. The four reasons for changing code are adding features, fixing bugs, refactoring, and optimizing. Changes affect structure, new functions, existing functions, resources, and test code depending on the reason. Changing code is difficult because it's hard to determine what to change, confirm the change is correct, and ensure nothing is broken. Not changing also risks increasing complexity, decreasing change skills over time, and growing fear of changing code.
Refactoring: Improve the design of existing codeValerio Maggio
Refactoring: Improve the design of existing code
Software Engineering class on main refactoring techniques and bad smells reported in the famous Fawler's book on this topic!
How to get reviewers to block your changeskevintbenton
This document provides tips to decrease productivity by making changes that will cause code reviewers to block the changes. Some tips include adding spelling errors to commit messages, fixing bugs without linking to bug reports, making large changes without proper documentation, including few or no unit tests, and being unresponsive to reviewer comments. The overall goal of the tips is to submit low-quality changes that will frustrate and slow down the review process.
The document provides an overview of design patterns and principles for software development. It discusses the SOLID principles of open/closed, single responsibility, Liskov substitution, interface segregation and dependency inversion. It defines design patterns as common solutions to recurring problems in software design. The Gang of Four are introduced as authors of a seminal book on design patterns, categorizing 23 patterns into creational, structural and behavioral groups. The session concludes with soliciting questions and announcing the next topic.
Episode 3 – Classes, Inheritance, Abstract Class, and InterfacesJitendra Zaa
This document provides an overview of key object-oriented programming concepts in Salesforce including classes, objects, inheritance, abstract classes, and interfaces. It discusses how classes define objects, how to instantiate objects, access specifiers, static methods, inheritance which allows extending existing classes, abstract classes which define common methods, and interfaces which enforce method signatures. Code examples are provided to demonstrate these concepts. The document also recommends books for learning Apex at different skill levels and includes an agenda and rules for the session.
Bye Bye Cowboy-Coder days! by Vytautas Dagilis.
„Working Effectively with Legacy Code“- one of the best books which talks about Unit testing and TDD. Presentation covers best practices listed in the book as well as shows which of them were successfully implemented in practice. You will find out how to commit changes and be sure that they work even without running and testing application itself.
- The document discusses unit testing in ABAP and provides examples of how to write unit tests for ABAP code.
- It describes how to create test classes and methods in ABAP using ABAP Unit and the best practices for writing testable code, such as initializing test objects and avoiding dependencies on external systems.
- The document also highlights common pitfalls to avoid when writing unit tests, like assuming a specific database state or system date.
How to make your model happy again @PyData Florence @PyConITAlessia Marcolini
Nowadays ‘build and run’ a predictive model is a quite easy task, thanks to frameworks that simplify things and set good defaults for you (i.e. Keras).
But how do you effectively train a model, in order to gain better performance or to get your results faster? Do you feel frustrated every time you need to set and then tune the network’s hyperparameters, too? Don’t worry!
In this talk I will share some practical tips&tricks (such as Model Ensembling and learning rate schedulers) and relative examples, derived from my personal experience or from literature, with the aim to improve neural networks capabilities and to get the convergence faster.
This talk is aimed at data scientists or everyone passionate about this topic who wants to learn more.
Gently inspired by Practical Deep Learning for Coders Part 1 v2 of fast.ai.
Charles Nurse, a senior architect at DotNetNuke Corporation, presented on using behavior-driven development (BDD) with Visual Studio 2010, SpecFlow, and WATIN. He began with an introduction to BDD and its practices. He then discussed using Gherkin syntax to define tests in natural language and explained how SpecFlow bridges communication between domain experts and developers. Finally, he demonstrated how to automate tests using the WATIN browser automation framework in SpecFlow scenarios.
I have spent some time working on a project, and built 8 micro services and 2 applications, and planned to carve out a few more. Deployment was carried out in a farm of 25 servers in production with a single click in less than 3 minutes.
This presentation is about the experiences with building a micro service based architecture - the good, the bad and the ugly.
- What are micro services?
- When/Why/How micro services?
- Why NOT micro services?
- Managing Continuous Integration and Continuous Delivery with micro services
- A few design principles that we followed and that worked for us
Test driven development (TDD) involves writing tests before writing code to define requirements and ensure code meets those requirements. The presentation introduces TDD and related concepts like the red-green-refactor cycle, unit tests, integration tests, Gherkin for requirements gathering, and popular tools for TDD in different programming languages.
This document discusses the benefits of unit testing and how to implement it. Some key points covered include:
- Unit testing helps ensure code works as intended, finds problems earlier, and increases developer confidence. It is especially useful for code involving money, code that has broken before, or code that is tedious to test manually.
- There are two main types of tests - unit tests that isolate small parts of an application and functional tests that ensure components work together. Mock objects are important for writing isolated unit tests.
- Benefits of testing include finding problems earlier, tests can be automated, and it ensures requirements are met. Challenges include the time needed to write tests initially.
- Continuous integration servers
This document discusses different types of software testing and test-driven development. It defines functions and how to pass arguments to functions. It describes assertions as true-false statements to check conditions and preconditions and postconditions to define the expected state before and after code execution. It lists different types of testing including unit testing, integration testing, and regression testing. It explains test-driven development as a process of writing automated tests before code to define desired functions and improvements and repeating testing and coding until passing all tests.
This document discusses refactoring and metaprogramming. It provides an overview of topics including refactoring basics, refactoring tools in Squeak, and the implementation of the refactoring engine. The refactoring engine uses an abstract syntax tree to represent code and tree rewriting to specify transformations. Reflection is discussed, noting that while refactoring changes a system using itself, the refactoring engine builds its own abstraction layer rather than using the system's reflective capabilities.
This document discusses refactoring code to improve its structure and design without changing its external behavior. Refactoring includes techniques like extracting methods, moving methods between classes, simplifying conditional logic, and improving data structures. The goal of refactoring is to make code more readable, reusable, and maintainable by removing duplications and optimizing class relationships and communication. The document provides examples of code smells that indicate needs for refactoring and explains various refactoring techniques at the method, class, and architecture level.
This document discusses refactoring code to improve its structure and design without changing its external behavior. Refactoring includes techniques like extracting methods, moving methods between classes, simplifying conditional logic, and improving data structures. The goal of refactoring is to make code more readable, reusable, and maintainable by removing duplication, poorly structured code, and unnecessary complexity. It discusses various code smells that indicate needs for refactoring and provides examples of specific refactoring techniques at the method and class level as well as for data structures and communication between code elements.
The document discusses refactoring tips provided by Martin Fowler. It defines refactoring as improving the internal structure of software without changing its external behavior. It provides examples of common refactoring techniques like extract method, inline method, move method, and consolidate conditional expressions. The goal of refactoring is to improve code quality by making software easier to understand and modify over time.
The document discusses unit testing principles and purposes. It states that unit testing is used to prove that classes work properly in isolation, catch bugs early, enforce high-quality code, and make refactoring safer. Unit testing encourages modular and loosely coupled code. However, it does not replace integration or system testing and not all code can be unit tested. The document also provides examples of when code should be refactored before writing unit tests.
The process of changing a software system in such a way that it does not alter the external (observable) behavior of the code yet improves its internal structure, to make it easier to understand and cheaper to modify.
Getting Unstuck: Working with Legacy Code and DataCory Foy
From this presentation for the IASA in 2007, Cory covers common challenges in dealing with Legacy Code and Data, and some tools and techniques for handling them.
The document discusses design principles, patterns, and GRASP patterns. It provides explanations of key principles such as SOLID principles, composite reuse principle, law of demeter, and others. It also explains important design patterns and GRASP patterns. Some key points:
- Design principles like SOLID principles help avoid bad designs and guide developers to create designs that are flexible, understandable, and resilient to change.
- GRASP patterns provide guidelines for assigning responsibilities to classes based on concepts like information expert, creator, and controller.
- Design patterns are proven solutions to common programming problems that can be reused in different situations. Some patterns discussed are creational, structural, and behavioral patterns.
- Applying the right
Refactoring: Improve the design of existing codeValerio Maggio
Refactoring: Improve the design of existing code
Software Engineering class on main refactoring techniques and bad smells reported in the famous Fawler's book on this topic!
How to get reviewers to block your changeskevintbenton
This document provides tips to decrease productivity by making changes that will cause code reviewers to block the changes. Some tips include adding spelling errors to commit messages, fixing bugs without linking to bug reports, making large changes without proper documentation, including few or no unit tests, and being unresponsive to reviewer comments. The overall goal of the tips is to submit low-quality changes that will frustrate and slow down the review process.
The document provides an overview of design patterns and principles for software development. It discusses the SOLID principles of open/closed, single responsibility, Liskov substitution, interface segregation and dependency inversion. It defines design patterns as common solutions to recurring problems in software design. The Gang of Four are introduced as authors of a seminal book on design patterns, categorizing 23 patterns into creational, structural and behavioral groups. The session concludes with soliciting questions and announcing the next topic.
Episode 3 – Classes, Inheritance, Abstract Class, and InterfacesJitendra Zaa
This document provides an overview of key object-oriented programming concepts in Salesforce including classes, objects, inheritance, abstract classes, and interfaces. It discusses how classes define objects, how to instantiate objects, access specifiers, static methods, inheritance which allows extending existing classes, abstract classes which define common methods, and interfaces which enforce method signatures. Code examples are provided to demonstrate these concepts. The document also recommends books for learning Apex at different skill levels and includes an agenda and rules for the session.
Bye Bye Cowboy-Coder days! by Vytautas Dagilis.
„Working Effectively with Legacy Code“- one of the best books which talks about Unit testing and TDD. Presentation covers best practices listed in the book as well as shows which of them were successfully implemented in practice. You will find out how to commit changes and be sure that they work even without running and testing application itself.
- The document discusses unit testing in ABAP and provides examples of how to write unit tests for ABAP code.
- It describes how to create test classes and methods in ABAP using ABAP Unit and the best practices for writing testable code, such as initializing test objects and avoiding dependencies on external systems.
- The document also highlights common pitfalls to avoid when writing unit tests, like assuming a specific database state or system date.
How to make your model happy again @PyData Florence @PyConITAlessia Marcolini
Nowadays ‘build and run’ a predictive model is a quite easy task, thanks to frameworks that simplify things and set good defaults for you (i.e. Keras).
But how do you effectively train a model, in order to gain better performance or to get your results faster? Do you feel frustrated every time you need to set and then tune the network’s hyperparameters, too? Don’t worry!
In this talk I will share some practical tips&tricks (such as Model Ensembling and learning rate schedulers) and relative examples, derived from my personal experience or from literature, with the aim to improve neural networks capabilities and to get the convergence faster.
This talk is aimed at data scientists or everyone passionate about this topic who wants to learn more.
Gently inspired by Practical Deep Learning for Coders Part 1 v2 of fast.ai.
Charles Nurse, a senior architect at DotNetNuke Corporation, presented on using behavior-driven development (BDD) with Visual Studio 2010, SpecFlow, and WATIN. He began with an introduction to BDD and its practices. He then discussed using Gherkin syntax to define tests in natural language and explained how SpecFlow bridges communication between domain experts and developers. Finally, he demonstrated how to automate tests using the WATIN browser automation framework in SpecFlow scenarios.
I have spent some time working on a project, and built 8 micro services and 2 applications, and planned to carve out a few more. Deployment was carried out in a farm of 25 servers in production with a single click in less than 3 minutes.
This presentation is about the experiences with building a micro service based architecture - the good, the bad and the ugly.
- What are micro services?
- When/Why/How micro services?
- Why NOT micro services?
- Managing Continuous Integration and Continuous Delivery with micro services
- A few design principles that we followed and that worked for us
Test driven development (TDD) involves writing tests before writing code to define requirements and ensure code meets those requirements. The presentation introduces TDD and related concepts like the red-green-refactor cycle, unit tests, integration tests, Gherkin for requirements gathering, and popular tools for TDD in different programming languages.
This document discusses the benefits of unit testing and how to implement it. Some key points covered include:
- Unit testing helps ensure code works as intended, finds problems earlier, and increases developer confidence. It is especially useful for code involving money, code that has broken before, or code that is tedious to test manually.
- There are two main types of tests - unit tests that isolate small parts of an application and functional tests that ensure components work together. Mock objects are important for writing isolated unit tests.
- Benefits of testing include finding problems earlier, tests can be automated, and it ensures requirements are met. Challenges include the time needed to write tests initially.
- Continuous integration servers
This document discusses different types of software testing and test-driven development. It defines functions and how to pass arguments to functions. It describes assertions as true-false statements to check conditions and preconditions and postconditions to define the expected state before and after code execution. It lists different types of testing including unit testing, integration testing, and regression testing. It explains test-driven development as a process of writing automated tests before code to define desired functions and improvements and repeating testing and coding until passing all tests.
This document discusses refactoring and metaprogramming. It provides an overview of topics including refactoring basics, refactoring tools in Squeak, and the implementation of the refactoring engine. The refactoring engine uses an abstract syntax tree to represent code and tree rewriting to specify transformations. Reflection is discussed, noting that while refactoring changes a system using itself, the refactoring engine builds its own abstraction layer rather than using the system's reflective capabilities.
This document discusses refactoring code to improve its structure and design without changing its external behavior. Refactoring includes techniques like extracting methods, moving methods between classes, simplifying conditional logic, and improving data structures. The goal of refactoring is to make code more readable, reusable, and maintainable by removing duplications and optimizing class relationships and communication. The document provides examples of code smells that indicate needs for refactoring and explains various refactoring techniques at the method, class, and architecture level.
This document discusses refactoring code to improve its structure and design without changing its external behavior. Refactoring includes techniques like extracting methods, moving methods between classes, simplifying conditional logic, and improving data structures. The goal of refactoring is to make code more readable, reusable, and maintainable by removing duplication, poorly structured code, and unnecessary complexity. It discusses various code smells that indicate needs for refactoring and provides examples of specific refactoring techniques at the method and class level as well as for data structures and communication between code elements.
The document discusses refactoring tips provided by Martin Fowler. It defines refactoring as improving the internal structure of software without changing its external behavior. It provides examples of common refactoring techniques like extract method, inline method, move method, and consolidate conditional expressions. The goal of refactoring is to improve code quality by making software easier to understand and modify over time.
The document discusses unit testing principles and purposes. It states that unit testing is used to prove that classes work properly in isolation, catch bugs early, enforce high-quality code, and make refactoring safer. Unit testing encourages modular and loosely coupled code. However, it does not replace integration or system testing and not all code can be unit tested. The document also provides examples of when code should be refactored before writing unit tests.
The process of changing a software system in such a way that it does not alter the external (observable) behavior of the code yet improves its internal structure, to make it easier to understand and cheaper to modify.
Getting Unstuck: Working with Legacy Code and DataCory Foy
From this presentation for the IASA in 2007, Cory covers common challenges in dealing with Legacy Code and Data, and some tools and techniques for handling them.
The document discusses design principles, patterns, and GRASP patterns. It provides explanations of key principles such as SOLID principles, composite reuse principle, law of demeter, and others. It also explains important design patterns and GRASP patterns. Some key points:
- Design principles like SOLID principles help avoid bad designs and guide developers to create designs that are flexible, understandable, and resilient to change.
- GRASP patterns provide guidelines for assigning responsibilities to classes based on concepts like information expert, creator, and controller.
- Design patterns are proven solutions to common programming problems that can be reused in different situations. Some patterns discussed are creational, structural, and behavioral patterns.
- Applying the right
This document provides an agenda covering several design patterns including Strategy, Template Method, State, Observer, Command, and Iterator patterns. For each pattern it discusses the problem, solution, structure, example PHP code, pros and cons, and intent. The document provides an overview and introduction to understanding and implementing these common behavioral design patterns.
1. The document discusses techniques for testing legacy production code that was not originally written with testability in mind. This includes unit testing, which allows verifying code works as expected in isolation, and writing tests before making changes to help preserve existing behavior.
2. Testing legacy code can be challenging as the code may have dependencies that are hard to isolate for testing purposes. Techniques to address this include extracting functions to new classes, replacing static dependencies with interfaces, and overriding classes to inject test dependencies.
3. While testing legacy code requires more initial work, it provides long-term benefits like reducing defects, empowering refactoring, and creating a safety net for future changes. The document provides a case study and
This document discusses object-oriented design principles and patterns. It introduces the SOLID principles: single responsibility, open-closed, Liskov substitution, interface segregation, and dependency inversion. These principles aim to create flexible, reusable, and extensible code. Other principles discussed include composition over inheritance and least knowledge. Common design patterns are inspired by these principles to provide solutions for recurring problems. The document emphasizes that applying object-oriented principles leads to software that can easily adapt to changing requirements.
This document provides an overview of functional JavaScript concepts including: type system, primitive values, objects, inheritance, functions, closures, pure functions, higher order functions, composition, currying/partial application, and functional techniques like filter, map and reduce. It recommends resources for learning more about functional programming in JavaScript like libraries, books, and workshops.
This document discusses refactoring, which involves restructuring existing code without changing its external behavior or functionality. It provides definitions of refactoring and describes best practices for refactoring code, such as taking small, incremental steps and verifying that automated tests still pass after each change. Specific refactoring techniques are also explained, like extracting duplicate code into methods, removing unnecessary complexity or duplication, and consolidating conditional expressions for clarity. The document cautions against fixing bugs during refactoring and emphasizes making changes in a way that simplifies the code and removes code smells.
There are many design principles that have become best practices over the years. Using these principles we can develop scalable and maintainable enterprise application with time tested approaches.
This document discusses test-driven development (TDD) and acceptance test-driven development (ATDD). It defines TDD as a process of first writing a test, then code to pass the test, and refactoring code while relying on tests. ATDD helps ensure correct external features by defining tests for customer requirements. The document outlines benefits like reduced bugs and increased confidence. It also discusses tools that support TDD/ATDD like unit testing frameworks, FitNesse for acceptance tests, continuous integration, and code coverage tools.
Refactoring is changing code without altering its external behavior to improve its structure and understandability. Reasons to refactor include making code easier to fix bugs or add features. Testing during refactoring prevents breaking changes. Techniques include renaming, extracting variables/methods, removing temporary variables, moving code between classes, and other object-oriented improvements.
Getting Started with Test-Driven Development at Longhorn PHP 2023Scott Keck-Warren
Test-driven development (TDD) is a software development process where test cases are written before code to validate requirements. The TDD process involves short cycles of adding a test, making the test fail, writing code to pass the test, and refactoring code. Automated tests provide confidence to refactor and change code without breaking functionality. Unit tests isolate and test individual code units while feature tests simulate how a user interacts with the application. Code coverage metrics help ensure tests cover enough of the codebase, with higher coverage percentages generally indicating better test quality.
We have designed & manufacture the Lubi Valves LBF series type of Butterfly Valves for General Utility Water applications as well as for HVAC applications.
AI in customer support Use cases solutions development and implementation.pdfmahaffeycheryld
AI in customer support will integrate with emerging technologies such as augmented reality (AR) and virtual reality (VR) to enhance service delivery. AR-enabled smart glasses or VR environments will provide immersive support experiences, allowing customers to visualize solutions, receive step-by-step guidance, and interact with virtual support agents in real-time. These technologies will bridge the gap between physical and digital experiences, offering innovative ways to resolve issues, demonstrate products, and deliver personalized training and support.
https://www.leewayhertz.com/ai-in-customer-support/#How-does-AI-work-in-customer-support
This presentation is about Food Delivery Systems and how they are developed using the Software Development Life Cycle (SDLC) and other methods. It explains the steps involved in creating a food delivery app, from planning and designing to testing and launching. The slide also covers different tools and technologies used to make these systems work efficiently.
Supermarket Management System Project Report.pdfKamal Acharya
Supermarket management is a stand-alone J2EE using Eclipse Juno program.
This project contains all the necessary required information about maintaining
the supermarket billing system.
The core idea of this project to minimize the paper work and centralize the
data. Here all the communication is taken in secure manner. That is, in this
application the information will be stored in client itself. For further security the
data base is stored in the back-end oracle and so no intruders can access it.
A high-Speed Communication System is based on the Design of a Bi-NoC Router, ...DharmaBanothu
The Network on Chip (NoC) has emerged as an effective
solution for intercommunication infrastructure within System on
Chip (SoC) designs, overcoming the limitations of traditional
methods that face significant bottlenecks. However, the complexity
of NoC design presents numerous challenges related to
performance metrics such as scalability, latency, power
consumption, and signal integrity. This project addresses the
issues within the router's memory unit and proposes an enhanced
memory structure. To achieve efficient data transfer, FIFO buffers
are implemented in distributed RAM and virtual channels for
FPGA-based NoC. The project introduces advanced FIFO-based
memory units within the NoC router, assessing their performance
in a Bi-directional NoC (Bi-NoC) configuration. The primary
objective is to reduce the router's workload while enhancing the
FIFO internal structure. To further improve data transfer speed,
a Bi-NoC with a self-configurable intercommunication channel is
suggested. Simulation and synthesis results demonstrate
guaranteed throughput, predictable latency, and equitable
network access, showing significant improvement over previous
designs
Levelised Cost of Hydrogen (LCOH) Calculator ManualMassimo Talia
The aim of this manual is to explain the
methodology behind the Levelized Cost of
Hydrogen (LCOH) calculator. Moreover, this
manual also demonstrates how the calculator
can be used for estimating the expenses associated with hydrogen production in Europe
using low-temperature electrolysis considering different sources of electricity
This study Examines the Effectiveness of Talent Procurement through the Imple...DharmaBanothu
In the world with high technology and fast
forward mindset recruiters are walking/showing interest
towards E-Recruitment. Present most of the HRs of
many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
3. What is it, can we eat it?
Martin Fowler
“a change made to the internal structure of software to
make it easier to understand and cheaper to modify
without changing its observable behavior”
Noun
:
Verb:
“to restructure software by applying a series of
refactorings without changing its observable behavior”
4. understand
track the bugs
do things faster
Improves the Design of Software
Helps you to:
Why lose time, lets focus on new features!
43. –Kent Beck
The list of techniques is only the beginning. It is the gate you must
pass through. Without the techniques, you can't manipulate the
design of running programs. With them, you still can't, but at least
you can start.
65. Rename method
Change value to reference
Hide method &
variables
Change reference to value
Encapsulate collection
66. Rename method
Change value to reference
Hide method &
variables
Change reference to value
Encapsulate collection
Remove assignments to
parameters
67. Rename method
Change value to reference
Hide method &
variables
Change reference to value
Encapsulate collection
Remove assignments to
parameters
Remove Control Flags
68. Rename method
Change value to reference
Hide method &
variables
Change reference to value
Encapsulate collection
Remove assignments to
parameters
Remove Control Flags
Tease Apart Inheritance
69. Rename method
Change value to reference
Hide method &
variables
Change reference to value
Encapsulate collection
Remove assignments to
parameters
Remove Control Flags
Tease Apart Inheritance
Seperate Domain from
Presentation
70. Rename method
Change value to reference
Hide method &
variables
Change reference to value
Encapsulate collection
Convert procedural
design to objects
Remove assignments to
parameters
Remove Control Flags
Tease Apart Inheritance
Seperate Domain from
Presentation
71. Any fool can write code that a computer can understand. Good
programmers write code that humans can understand
Scratching the surface
Refactoring is at the core of TDD & Agile
Same guys who builds the modern software terminologies
Actually its documentation of methods they have been using for readable, testable, maintainable software
Today its all about restructure the code, basic level
Mention about the book
Your definition
quality. Improving design, improving readability, reducing bugs, all these improve quality. But doesn't all this reduce the speed of development?
good design is essential for rapid software development
spend time finding and fixing bugs instead of adding new function. Changes take longer as you try to understand the system and find the duplicate code
Surekli yeni featurelar, yeni kurallar, yaz yaz yaz nereye kadar refactor olmayan kod legacy x
- More methodological approach
We don’t have tests!
Mention about TDD vs testable code
Way of thinking
Feature Envy: Methods that make extensive use of another class may belong in another class. Consider moving this method to the class it is so envious of.
Lazy Class: Classes should pull their weight. Every additional class increases the complexity of a project. If you have a class that isn't doing enough to pay for itself, can it be collapsed or combined into another class?
Large Class:
Large classes, like long methods, are difficult to read, understand, and troubleshoot. Does the class contain too many responsibilities? Can the large class be restructured or broken into smaller classes?
Type Embedded in Name: Avoid placing types in method names; it's not only redundant, but it forces you to change the name if the type changes.
Oddball Solution:
There should only be one way of solving the same problem in your code. If you find an oddball solution, it could be a case of poorly duplicated code-- or it could be an argument for the adapter model, if you really need multiple solutions to the same problem.
Think of your code, not basic examples In here
What are your code smells ?
- Does this need comment; code itself is a way of commenting
- Multiple refactoring methods used!
- Finish / Continue ?
- Simplification, readability, testability
- let the caller call multiple callees
- Swift access methods internal, private fileprivate public open
Users transactions, would not know if transaction list just exposed
Instead you can create add/RemoveTransaction to User object
Swift function parameters in/out when to use copy by value or copy by reference
- Data types such as int, date value its can be copied its ok, But what if I copy a student & want to change her grade !, Will all system be affected ?
Swift function parameters in/out when to use copy by value or copy by reference
Similar to reference/value types
- flag programming
Design refactor nothing like here!
Design refactor nothing like here!
Last 3 methods are ‘Design Refactor’; nothing like here!