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Reddit mentions of Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition)

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Reddit mentions: 9

We found 9 Reddit mentions of Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition). Here are the top ones.

Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition)
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Found 9 comments on Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition):

u/Gankbanger · 2 pointsr/cscareerquestions

Don't leave on that account alone. If you have a passion for programming, these concepts you missed can still be learnt. You do not stop learning once you finish your studies, on the contrary, CS is one of those professions where you have to constantly update your knowledge pool.

I would not worry as much about the details of what a protected class and if a subclass can access private members or not. Master instead concepts like encapsulation, separation of concerns, abstraction, ... concepts that transcend language-specific syntax. If you are actively studying by yourself, you will get always improve.

If you want to polish your OO skills, I highly recommend you find yourself a copy of Applying UML and Patterns. I would also recommend reading Code Complete 2, a must-read for all software developers.

u/CodeTamarin · 2 pointsr/computerscience

The Stanford Algorithm book is complete overkill in my opinion do NOT read that book. That's insane. Read it when you've been doing programming for a while and have a grasp of how it even applies.

Here's my list, it's a "wanna be a decent junior" list:

  • Computer Science Distilled
  • Java/ C# / PHP/ JS (pick one)
  • Do some Programming Challenges
  • SQL
  • Maybe build a small web app. Don't worry about structure so much, just build something simple.
  • Applying UML: and Patterns: An Introduction to Object Oriented Anaysis and Design Iterative Development
  • Head First Design Patterns
  • Clean Architecture
  • Refactoring: Improving the Design of Existing Code
  • If you're interested in Web
  • Soft Skills: Power of Habit , A Mind for Numbers , Productivity Project


    Reasoning: So, the first book is to give you a sense of all that's out there. It's short and sweet and primes you for what's ahead. It helps you understand most of the basic industry buzz words and whatnot. It answers a lot of unknown unknowns for a newbie.

    Next is just a list languages off the top of my head. But you can pick anything, seriously it's not a big deal. I did put Java first because that's the most popular and you'll like find a mountain of resources.

    Then after some focused practice, I suggest grabbing some SQL. You don't need to be an expert but you gotta know about DBs to some degree.

    Then I put an analysis book that's OOP focused. The nifty thing about that book, is it breaks into design patterns nicely with some very simple design patters to introduce you to design patterns and GRASP.

    Then I put in a legit Design Patterns book that explains and explores design patterns and principles associated with many of them.

    Now that you know how code is structured, you're ready for a conversation about Architecture. Clean architecture is a simple primer on the topic. Nothing too crazy, just preps you for the idea of architecture and dealing with it.

    Finally, refactoring is great for working devs. Often your early work will be focused on working with legacy code. Then knowing how to deal with those problems can be helpful.

    FINAL NOTE: Read the soft skills books first.

    The reason for reading the soft skills books first is it helps develop a mental framework for learning all the stuff.

    Good luck! I get this isn't strictly computer science and it's likely focused more toward Software Development. But I hope it helps. If it doesn't. My apologies.
u/baultista · 2 pointsr/learnprogramming

I've always felt like C is a good language for a programmer to think in. With that being said, I often recommend that a programmer who doesn't need to know C++ learn C if (s)he wants to learn something that will improve his/her skill across the board.

C will give you a good appreciation of what's going on behind the scenes in many of the languages you use. You'll get an appreciation for how passing by value and reference works in other languages thanks to pointers. You'll learn how your strings are actually managed in memory. You'll have a better understanding of how many of those built-in generics you may use (List<>, LinkedList<>, HashMap<>) actually work, because if you want to use them in C you'll have to implement them yourself or download a source file and read it to understand the author's implementation.

This knowledge will help you build more elegant solutions. You'll be less sloppy and gratuitous creating new strings anywhere and everywhere, and may even find yourself using references more often. Your code may or may not be cleaner, but you'll have an appreciation for how and why you should write code for runtime efficiency. You'll be more likely to use the right data structure for your task at hand.

The best part is that C has a great standard resource for learning the language. Pick up The C Programming Language Second Edition and read it cover to cover. By the time you're done you'll know everything you need to know about C, and will have a wonderful reference in the even that you need to use C later on.

If you want to improve your object-oriented programming skills, you don't need to learn a new language. It is best to learn OO independent of any language in order to gather a strong understanding of the underlying concepts and to be able to apply it to any language. Craig Larman's Applying UML and Patterns is the best book I've ever read on the subject.

u/CSMastermind · 2 pointsr/AskComputerScience

Senior Level Software Engineer Reading List

Read This First

  1. Mastery: The Keys to Success and Long-Term Fulfillment


  2. Patterns of Enterprise Application Architecture
  3. Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions
  4. Enterprise Patterns and MDA: Building Better Software with Archetype Patterns and UML
  5. Systemantics: How Systems Work and Especially How They Fail
  6. Rework
  7. Writing Secure Code
  8. Framework Design Guidelines: Conventions, Idioms, and Patterns for Reusable .NET Libraries

    Development Theory

  9. Growing Object-Oriented Software, Guided by Tests
  10. Object-Oriented Analysis and Design with Applications
  11. Introduction to Functional Programming
  12. Design Concepts in Programming Languages
  13. Code Reading: The Open Source Perspective
  14. Modern Operating Systems
  15. Extreme Programming Explained: Embrace Change
  16. The Elements of Computing Systems: Building a Modern Computer from First Principles
  17. Code: The Hidden Language of Computer Hardware and Software

    Philosophy of Programming

  18. Making Software: What Really Works, and Why We Believe It
  19. Beautiful Code: Leading Programmers Explain How They Think
  20. The Elements of Programming Style
  21. A Discipline of Programming
  22. The Practice of Programming
  23. Computer Systems: A Programmer's Perspective
  24. Object Thinking
  25. How to Solve It by Computer
  26. 97 Things Every Programmer Should Know: Collective Wisdom from the Experts


  27. Hackers and Painters: Big Ideas from the Computer Age
  28. The Intentional Stance
  29. Things That Make Us Smart: Defending Human Attributes In The Age Of The Machine
  30. The Back of the Napkin: Solving Problems and Selling Ideas with Pictures
  31. The Timeless Way of Building
  32. The Soul Of A New Machine
  34. YOUTH
  35. Understanding Comics: The Invisible Art

    Software Engineering Skill Sets

  36. Software Tools
  37. UML Distilled: A Brief Guide to the Standard Object Modeling Language
  38. Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development
  39. Practical Parallel Programming
  40. Past, Present, Parallel: A Survey of Available Parallel Computer Systems
  41. Mastering Regular Expressions
  42. Compilers: Principles, Techniques, and Tools
  43. Computer Graphics: Principles and Practice in C
  44. Michael Abrash's Graphics Programming Black Book
  45. The Art of Deception: Controlling the Human Element of Security
  46. SOA in Practice: The Art of Distributed System Design
  47. Data Mining: Practical Machine Learning Tools and Techniques
  48. Data Crunching: Solve Everyday Problems Using Java, Python, and more.


  49. The Psychology Of Everyday Things
  50. About Face 3: The Essentials of Interaction Design
  51. Design for Hackers: Reverse Engineering Beauty
  52. The Non-Designer's Design Book


  53. Micro-ISV: From Vision to Reality
  54. Death March
  55. Showstopper! the Breakneck Race to Create Windows NT and the Next Generation at Microsoft
  56. The PayPal Wars: Battles with eBay, the Media, the Mafia, and the Rest of Planet Earth
  57. The Business of Software: What Every Manager, Programmer, and Entrepreneur Must Know to Thrive and Survive in Good Times and Bad
  58. In the Beginning...was the Command Line

    Specialist Skills

  59. The Art of UNIX Programming
  60. Advanced Programming in the UNIX Environment
  61. Programming Windows
  62. Cocoa Programming for Mac OS X
  63. Starting Forth: An Introduction to the Forth Language and Operating System for Beginners and Professionals
  64. lex & yacc
  65. The TCP/IP Guide: A Comprehensive, Illustrated Internet Protocols Reference
  66. C Programming Language
  67. No Bugs!: Delivering Error Free Code in C and C++
  68. Modern C++ Design: Generic Programming and Design Patterns Applied
  69. Agile Principles, Patterns, and Practices in C#
  70. Pragmatic Unit Testing in C# with NUnit

    DevOps Reading List

  71. Time Management for System Administrators: Stop Working Late and Start Working Smart
  72. The Practice of Cloud System Administration: DevOps and SRE Practices for Web Services
  73. The Practice of System and Network Administration: DevOps and other Best Practices for Enterprise IT
  74. Effective DevOps: Building a Culture of Collaboration, Affinity, and Tooling at Scale
  75. DevOps: A Software Architect's Perspective
  76. The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations
  77. Site Reliability Engineering: How Google Runs Production Systems
  78. Cloud Native Java: Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry
  79. Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation
  80. Migrating Large-Scale Services to the Cloud
u/MPIS · 1 pointr/compsci

Some great text resources on the subject:

u/lampyridae · 1 pointr/javascript

I'd suggest to work on analyzing and designing before coding.

Analysis is about breaking down the problem (the use cases the software needs to fill).

Design is about building a solution out of components, assigning responsibilities to those components and identifying their relationships.

My rule of thumb is: if what I'm about to code is complex enough that I have no idea how I'll piece it together, I'm not ready to code yet.

A whiteboard or a sketch pad and basic diagram drawing skills are really useful. The point isn't to draw a blue print, it's to sketch out ideas about how to articulate your components and to gain insight on the hard parts through visualization.

The challenge is structural (how many classes? whose method is this? composition or inheritance?) and dynamic (A calls C, which calls B, which asynchronously calls X… is this optimal?).

I've really enjoyed Larman's book on Object-Oriented Analysis and Design. The title sounds much more narrow than the actual subject matter.

u/simonsays · 1 pointr/java

its actually in the http://www.amazon.com/Applying-UML-Patterns-Introduction-Object-Oriented/dp/0131489062 which is used in many educational institutions. still see it used on my friends education and he just started in january. i had it back in 2005 or so

u/Scavenger53 · 1 pointr/learnprogramming

I think this is the book they use for software engineering planning https://www.amazon.com/Applying-UML-Patterns-Introduction-Object-Oriented/dp/0131489062

I'm also still learning but it talks about iterative design of OOP and UML to layout the designs. I wonder what other books there are for this, but his question is similar to mine. OP may be a little further in learning than I am since I'm still working through data structures and algorithms of my C++ book.