Summary

In the world of software development, the mantra of “Practice, Practice, Practice” resonates deeply with aspiring craftsmen. This pattern from the book Apprenticeship Patterns by Dave Hoover and Adewale Oshineye emphasizes the critical role of deliberate practice in mastering any skill, especially in the realm of programming.

My Reaction

The essence of this pattern is simple yet profound: improvement comes through consistent and focused practice. As I delved into this pattern, I couldn’t help but reflect on my own journey as a budding software developer. Often, I find myself oscillating between bouts of intense coding sessions and periods of procrastination. This pattern serves as a wake-up call, reminding me that true growth stems from disciplined and purposeful practice.

What struck me as particularly insightful about this pattern is its emphasis on deliberate practice. It’s not just about clocking in hours mindlessly; rather, it’s about setting specific goals, pushing oneself out of comfort zones, and seeking feedback to refine one’s skills. This approach resonates with the concept of “deep work” championed by Cal Newport, where undistracted focus on challenging tasks leads to substantial progress.

This pattern challenged my perception of talent and innate ability. The authors stress that talent is overrated and that mastery is achievable through dedicated practice. This perspective is empowering as it shifts the focus from fixed traits to actionable steps that anyone can take to improve.

However, I do have a slight disagreement with the notion that “talent doesn’t matter.” While I agree that hard work and practice are paramount, acknowledging individual differences in aptitude can also be valuable. Some may grasp concepts more quickly or possess a natural affinity for certain aspects of programming. Nonetheless, the core message of this pattern remains invaluable: consistent practice is the cornerstone of excellence.

As I reflect on how this pattern has influenced my approach to software development, I am inspired to adopt a more structured practice regimen. Setting aside dedicated time each day for deliberate practice, tackling challenging problems, seeking constructive feedback, and tracking progress are strategies I plan to implement rigorously.

The “Practice, Practice, Practice” pattern serves as a powerful reminder of the transformative impact of focused practice. It has reshaped my mindset, emphasizing the journey of improvement over notions of inherent talent. Through disciplined practice, I aim to embark on a path of continuous growth and mastery in software craftsmanship.

From the blog CS@Worcester – Hieu Tran Blog by Trung Hiếu and used with permission of the author. All other rights reserved by the author.

Summary:
The “Rubbing Elbows” pattern emphasizes the value of collaborative learning in software development. It acknowledges the limitations of solo work and advocates for the benefits of working alongside another developer. The pattern suggests that certain skills and insights can only be gained through direct collaboration with peers, leading to enhanced productivity and continuous learning.

Reaction:
The concept of “Rubbing Elbows” resonates deeply with many developers, including myself. While autonomy is cherished, there’s a unique energy that arises from collaborating with others. The ability to bounce ideas off one another, share insights, and tackle challenges together fosters a rich learning environment that is hard to replicate solo.

Interesting Insights:
What’s particularly interesting about this pattern is its emphasis on the micro-techniques and personal knowledge exchanged during collaboration. It underscores the idea that true mastery in software development extends beyond technical proficiency to encompass the subtle habits and practices observed in seasoned developers. The notion of absorbing such knowledge through proximity and shared experience is compelling.

Impact on Professional Outlook:
This pattern has certainly influenced my perspective on professional growth within the software industry. It reinforces the importance of seeking out opportunities for collaboration, whether through pair programming, open-source contributions, or project partnerships. It has shifted my focus from purely technical skills to include the creation of collaborative abilities and interpersonal dynamics.

Disagreements and Considerations:
While the benefits of collaborative learning are evident, the pattern acknowledges that it’s not always a seamless experience. Instances of feeling lost or outpaced by a partner are common, requiring perseverance and effective communication to overcome. Additionally, the pattern raises awareness of the need to evaluate the effectiveness of collaborative practices like pair programming and make adjustments when necessary.

In conclusion, “Rubbing Elbows” serves as a reminder of the invaluable growth opportunities that arise from collaborative attempts in software development. By embracing this pattern and actively seeking out opportunities to work alongside peers, developers can enrich their skill sets, broaden their perspectives, and ultimately thrive in their professional journeys.

From the blog CS@Worcester – Site Title by rkaranja1002 and used with permission of the author. All other rights reserved by the author.

In the realm of software development, testing is an integral part of the development cycle. It ensures that the code behaves as expected under various conditions and scenarios. Test doubles are a crucial concept in testing, especially in unit testing, where dependencies need to be isolated to ensure focused and reliable tests.

Test doubles are objects used in place of real dependencies during testing. They help in simulating the behavior of real objects and controlling the environment of the test, making it easier to isolate the component being tested. There are several types of test doubles, each serving a specific purpose in testing. Let’s delve into some of the most common ones:

1. Dummy Objects: Dummy objects are the simplest form of test doubles. They are typically used when an object is required as a parameter but is not actually used within the test. Dummy objects do nothing and are only present to fulfill the method signature or parameter requirements.
2. Stub Objects: Stub objects provide predetermined responses to method calls during testing. They are used to simulate specific behavior of dependencies, returning fixed values or predefined responses to method calls. Stubs are useful when testing code that relies on external services or complex dependencies that are not easily controllable.
3. Mock Objects: Mock objects are more sophisticated than stubs. They record and verify interactions with the test subject, allowing expectations to be set on method calls. Mocks are useful for verifying that certain methods are called with specific parameters or in a certain sequence. They help in ensuring that the code under test behaves as expected in terms of interactions with its dependencies.
4. Fake Objects: Fake objects are implementations that mimic the behavior of real objects but are simpler and faster. They are often used to replace complex or slow dependencies with lightweight alternatives during testing. Fakes are particularly useful when dealing with external systems or resources that are difficult to control or reproduce in a testing environment.
5. Spy Objects: Spy objects are similar to mocks but with additional functionality. They record the interactions with the test subject like mocks, but they also allow access to the recorded data for verification or further processing. Spies are beneficial when you need to inspect the behavior of the code under test along with its interactions with dependencies.

Understanding the different types of test doubles empowers developers to write effective and efficient tests. By leveraging test doubles appropriately, developers can isolate components, control dependencies, and ensure reliable and maintainable tests.

For more in-depth information on test doubles and their usage, you can visit Martin Fowler’s article on Test Doubles. Martin Fowler is a renowned software developer and author known for his expertise in software design and development practices. His article provides comprehensive insights into various aspects of test doubles and their role in software testing.

In conclusion, mastering the use of test doubles is essential for writing robust and reliable tests, ultimately leading to higher-quality software products. Whether you’re dealing with simple dummy objects or complex mock objects, understanding when and how to employ each type of test double is key to effective testing practices in programming.

From the blog Discoveries in CS world by mgl1990 and used with permission of the author. All other rights reserved by the author.

Breakable Toys is a pattern that shows the importance of learning through failure and trail and error in software development. It teaches that failure is inevitable in the learning process and encourages developers to create small,  projects where they can make mistakes without breaking something permanently . By building a toy systems with similar toolsets to their professional projects but on a smaller scale developers can push their abilities to the limit and gain experience. The pattern suggests building simple projects like wikis, calendars, or address books. These projects serve as opportunities to try out new ideas and techniques without the pressure of real-world consequences in a job scenario . They allow developers to learn from their mistakes, iterate, and grow as professionals. Examples of Breakable Toys include personal wikis, games like Tetris or Tic-Tac-Toe, blogging software, and IRC clients. The idea is to choose projects that are relevant and useful to the developer’s life, allowing them to invest time and effort into exploring different aspects of software development. The pattern also emphasizes the importance of enjoying the process of building these toys. If the projects become stressful, they are less likely to be learning experiences that are successful.Also , developers should be open to the possibility that their toys may evolve into something more significant or even gain other users over time. A classic example cited is Linus Torvalds’s creation of Linux, initially announced as a hobby project to build a small operating system similar to Minix. This shows how even the most significant projects can start as personal experiments or Breakable Toys. Overall, Breakable Toys encourage developers to embrace failure, take risks, and continuously seek opportunities for learning and growth in their craft. By building and iterating on these small projects, developers can expand their skill sets, deepen their understanding of tools and technologies, and ultimately become more proficient practitioners of software development. I have used breakable toys for a school setting but never for just for fun, after diving more to the pattern I will be deepening during my free time. 

From the blog CS@Worcester – CS- Raquel Penha by raqpenha and used with permission of the author. All other rights reserved by the author.

For this weeks blog post I read the article on Testsigma’s Website called “Unit Testing | What it is, How it Works, Types & Top Benefits” by Diane Wong. It talks about the significance of unit testing in software development, giving a full overview of its benefits and best practices. Unit testing is an important feature of the software testing process, involving the testing of individual units or components of a software application in isolation. The main goal that I though was shown in this blog post was to show that each unit has functions as show and how unit testing can contribute to the overall reliability and robustness of the entire software system. The article highlights the key advantages of unit testing, pointing out its role in spotting and fixing bugs early in the development cycle. This is usually done by dividing and testing individual units and this helps the developers quickly pinpoint and address issues and reducing the chances of more complex and costly problems later in the development process. The blog post also discusses the importance of unit testing and how critical it is in the process. Also, the article explains the best practices for effective unit testing, including the using of testing frameworks, test coverage metrics, and the adoption of a test-driven development (TDD) methods. It emphasizes the integration of unit testing into the overall software development lifecycle. In conclusion, the blog post from Testsigma provides a full and informative guide to unit testing it highlights its importance in software development and offering practical insights into its implementation and best practices. This was a helpful blog post to read, since it helped me grasp the information about Unit Testing since it was something we have worked on in the beginning of the semester, it helped it stay fresh in my mind as we learn other wats of testing this semester.

From the blog CS@Worcester – CS- Raquel Penha by raqpenha and used with permission of the author. All other rights reserved by the author.

https://www.javatpoint.com/difference-between-object-oriented-testing-and-conventional-testing#:~:text=In%20object%2Doriented%20testing%2C%20the,encounter%20in%20the%20real%20world.

Object Oriented testing focuses on the behavior of an object or class within an  object oriented system with its goal being to ensure any interaction or expected behaviors are correctly carried out when the system is used. This type of testing also heavily relies on ‘real world’ situations for example when writing test cases you would base your cases on things that the system is likely to interact with in the real world input wise which makes it easier to identify any possible behavioral issues within the system. There are three different testing phases which are commonly used in object oriented programming which are Unit testing, integration testing and system testing. Unit testing is used when testing classes or objects while isolated from the rest of the software, integration testing is used to verify that objects or classes are able to properly work together and system testing is used when testing an entire system to verify that the system itself works properly. Object oriented testing also requires the tester to have knowledge of a system’s inner workings in order to properly test it. This type of testing obviously is used on object oriented software which would be any software that is written using an object oriented language so in that aspect it is limited as object oriented testing would not be relevant or necessary to software which is not in the object oriented domain.

I found this article useful as it gets straight to the point when it comes to outlining the basic idea behind object oriented testing but it also chooses to compare it to conventional testing which helps the reader to differentiate between some of the different attributes of the two testing types as well as some of their similarities. This really helps when it comes to understanding why object oriented testing is defined as its own type of testing when their are already many other testing methods. This article helped me gain a greater understanding of object oriented testing which will help me to think more in depth about the cases I am able to write while testing in the future. The specific use of real world scenarios mentioned in this article was particularly interesting to me as I had not previously thought about how using real scenarios would typically provide more accurate results and or errors as compared to randomly selected scenarios which will also influence how I write test cases in the future.

From the blog CS@Worcester – Dylan Brown Computer Science by dylanbrowncs and used with permission of the author. All other rights reserved by the author.

This week I decided to touch on static and dynamic testing. I wanted to find a blog that talks about different techniques for each type of testing. While searching I found the blog Static Testing VS Dynamic Testing – Key Differences testing by Kiruthika Devaraj. It first begins by generally defining the two types of testing. Devaraj first defines static testing as involving “testing the software without running it” and dynamic testing as involving “executing the program and testing its behavior in different scenarios”. They then go on to explicitly outline the differences in the next section. 

In the section titled “Differences Between Static Testing and Dynamic Testing”, they explain that static testing involves reviewing the documentation, design or code to check for defects and errors without executing the software. They also mention that this type of testing aims to identify issues early in software development when they are easier and less expensive to fix. They explained that dynamic testing involves executing the software and testing its behavior in different scenarios. They explain that during this process testers create test cases and run tests to identify defects and ensure the software meets the specified requirements. By testing the program against a variety of inputs, expected outputs, and error scenarios, this kind of testing essentially tries to evaluate the product’s functionality, performance, and security and ensure that it operates as predicted. In this section, the author uses bullet points and spacing to organize the information and make it easier to digest. 

The next section is a table that clearly outlines the differences in features like definitions, objectives, types of testing, timing, and results for static and dynamic testing. Static testing involves code review, walk-through, and inspection while the other involves unit, integration, system, acceptance, performance, security, and user acceptance testing. The author then explains how to choose between the two types of testing. They mention that it comes down to the specific requirements, objectives of the testing process, and desired outcomes. I enjoyed this article because the author got straight to the point when writing the article while clearly defining the use of each type of testing. I think the way they went about writing this informational piece was effective in keeping the reader’s attention by outlining the information in the simplest way possible. The use of bullet points and tables helped me to remember the information better. I am likely going to have to test my future personal projects so knowing the differences between the two types of testing and how to choose it was important to read about.

From the blog CS@Worcester – Live Laugh Code by Shamarah Ramirez and used with permission of the author. All other rights reserved by the author.

Unfortunately, just weeks after exploring test-project’s blog, it was shut down and replaced by a new blog in Tricentis. I was disappointed to find that I could no longer utilize this great resource. In searching however, I found that test-project was on its way out as far as automated testing goes, and this reaffirmed to me the ever changing world of software. In response I looked for blogs to improve my testing skills individually once more, and explored stickyminds again. The article I chose explained how practice can affect your software testing skill. The article’s title is Repetition in Practice by Justin Rohrman.

The article explores the pivotal role of repetition and practice in software testing, just as you would need in any other interest, like music. The author mentions his own experience with music in fact, and used his practice with music to inspire his software testing strategies. The article highlights the significance of deliberate practice in honing testing skills, advocating for an adaptive approach that considers the unique context of each testing scenario. A large failing of many software developers is the lack of practice, or lack of practice strategies. The article delves into some various methods for practicing software testing, to show how it connects with other interests. The most effective method introduced in the article is the ability to relate your own testing specific goals to other interests. For example: Heuristics is mentioned, and the author mentions if you like ‘Scrabble’ to play scrabble while thinking of heuristics and apply them to Scrabble. This will improve your skill in heuristics and allow you to improve it in your testing. This is an excellent strategy to help the mind focus on coding when other interests take priority. Overall the article emphasizes the importance of maintaining a growth mindset and embracing opportunities for learning and experimentation to refine testing proficiency. Outside of the article itself, there is a very valuable comment made by Michael Larsen. This comment mentions how testing is more subjective and abstract, and that it’s important to persevere when practicing. This is because unlike things like music, there are very little measurable improvements that you can see yourself, and you often have to wait for others to notice the improvements. This was an excellent thought provoking comment.

Through the CS-443 course, I have been considering how testing will play a role in my professional career and how I will develop these skills along with development. These kinds of practice strategies give me an engaging way to turn my brain into the mindset to code. This is very valuable to me, as often I can get very distracted. To be able to turn distractions into sources of thought for my own coding will be absolutely essential to developing my skills further. I chose this blog because I wanted to hone my skills but lack strategies to do so, and this applies beyond just testing for me.

Source:
https://www.stickyminds.com/article/repetition-practice?page=0%2C0

From the blog CS@Worcester – WSU CS Blog: Ben Gelineau by Ben Gelineau and used with permission of the author. All other rights reserved by the author.