For this week’s blog, I decided to discuss the pattern from Chapter 2 called “Unleash Your Enthusiasm”. This pattern discusses the enthusiasm for learning that many software engineering apprentices experience and how you should show it because, at this point in your career, you can provide unique qualities. This section discusses the situation where you may find yourself holding back because you may find that you have more enthusiasm than your colleagues. This is because there may be pressure to conform to the norm whenever you work on a team. In addition to this, many teams mainly focus on delivering the next product or improving on the aspects of the development life cycle. It also explains the risk of exposing your enthusiasm to an established team. In this situation, the text explains if the morale of the team is low or if they are not very welcoming to newcomers, you might make a poor impression. In this case, the text mentions that the advice in the section should not be applied blindly because you need to consider team dynamics.

The reason that I decided to pick this pattern is that I have never thought of concealing or holding back my enthusiasm for my craft. Every team that I have gotten the pleasure of joining in some way really valued my enthusiasm and the skills that they could learn from me. I have always been on a team where we all encouraged each other to learn from someone else on the team. Needless to say, I have never thought about the possibility of making a bad impression because of my enthusiasm for the task. In hindsight, I can see how exposing your ignorance of a topic can upset a team that values competence over enthusiasm for learning. I do think this quote from the text holds truth to it because of my own experience: “it is actually healthier for a team to consist of people with varying levels of experience”. Tech is a fast-paced industry so everyone is forced to keep up with new trends. A team that has a diverse set of skills at different levels is bound to create a healthy environment. With that being said, I can’t say that I disagree with anything from this section but I will be more aware of unleashing my enthusiasm on certain teams.

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.

The draw-your-own-map pattern talks about how people should take control of their career paths and not rely on others to define their path. This pattern talks about identifying the next logical steps, visualizing how to achieve those steps, and continuing to evaluate their goals and values. Draw-your-own-map pattern suggests that getting help from like-minded people and being open to adjusting one’s map to any changes that came up. This pattern shows stories about people who go into programming despite challenges from employers and orginizational limits. Draw-your-own-map encourages people to set a specific goal rather than setting a goal that isnt reachable. That step not only helps provide feedback but it also makes you seek guidance from like-minded people, those people can give you resources and support when trying to achieve your goals. One of the key ideas of this pattern is flexibility, it supports the idea of one’s mind to keep reassuring themselves that it’s okay to make changes. This pattern promotes an approach to career development and make sure to empower people to find their way through there careers with a purpose.

I thought this pattern was interesting because it encourages people to be creative and not rely on other people to define our paths, it should be our decision. I also thought the steps that the pattern talks about was very helpful, it’s important to set realistic goals so that you don’t overwork yourself to reach that goal. Visualizing the steps to achieving those goals also help make sure you don’t rush through the process and able to have a set plan. Evaluating your goal and values are also important as you go on to make sure that you can still reach your goal and be okay with any changes that come. This pattern has changed the way I think about achieving my goals, I know now to set a more realistic goal for myself and not be scared to get help from people who think like me. I don’t disagree with this pattern because I feel like this will help a lot of people with reaching their goals and make them think more realistically while getting support from others.

From the blog CS@Worcester – Kaylene Noel's Blog by Kaylene Noel and used with permission of the author. All other rights reserved by the author.

The “Be the Worst” pattern encourages you to surround yourself with individuals who excel in their craft, even if it means being the least skilled person in the group. By doing this, you engage yourself in an environment that fosters continuous learning and growth, as it exposes individuals to new perspectives, challenges, and techniques that may not occur otherwise.

I find this pattern both interesting and thought-provoking because it challenges the traditional notion of seeking out environments where one is the most skilled or experienced. Instead, it encourages the embracement of discomfort and for individuals to seek out opportunities for improvement, even if it means initially feeling inadequate or out of place.

Embracing this pattern has caused me to reconsider how I approach my career and professional development. I have been inclined to seek out roles or teams where I felt confident in my abilities in the past, always fearing the possibility of struggling or being overshadowed by more experienced peers. However, I can see the value in seeking out environments where I am the weakest member after my reflection on this pattern. This will give me the chance to push myself to learn and grow at a faster pace, ultimately becoming a stronger and more versatile developer.

While I generally agree with the principles outlined in this pattern, I do acknowledge that it may not be suitable for everyone or in every situation. Some individuals may thrive in environments where they are the most skilled, finding comfort and confidence in their expertise. Additionally, constantly being the least skilled member of a team can be emotionally challenging and may require a certain level of resilience and self-confidence to navigate successfully.

Overall, the “Be the Worst” pattern serves as a reminder of the importance of humility, curiosity, and continuous learning in one’s professional journey. By seeking out opportunities to surround oneself with individuals who are better than them, individuals can unlock their full potential and achieve greater success in their chosen field.

4. Accurate Self-Assessment | Apprenticeship Patterns (oreilly.com)

From the blog CS@Worcester – Jason Lee Computer Science Blog by jlee3811 and used with permission of the author. All other rights reserved by the author.

This week I decided to discuss Unit testing because although we have finished a few activities on the subject, I would like to read up on it to get a better understanding of it. While searching for a blog to discuss, I found this blog called “Unit Testing Best Practices: 9 to Ensure You Do It Right” from Testim. This blog also discusses what a unit test is, why we write them, the benefits of unit testing, how to achieve testable code, who creates them, and the difference between unit testing and integration testing.

The text begins by explaining that unit tests focus on very small parts of the application in complete isolation and compare their actual behavior with the expected behavior. In this section, the idea of complete isolation is thoroughly explained with the idea that “you don’t typically connect your application with external dependencies”. This is what makes unit tests so fast and stable.

The next section explains why they are created in bullet points and have the main ideas bolded. This structuring is helpful to simplify the ideas for the reader and make sure that the main ideas stick out for them. These were the bolded parts of the bullet points in the section: unit tests help you find and fix bugs earlier, your suite of unit tests becomes a safety net for developers, unit tests can contribute to higher code quality, unit tests might contribute to better application architecture, unit tests can act as documentation, and detect code smells in your codebase. I think a lot of the ideas presented were easy to comprehend based on the bolded part but I had to read more about the last bullet point because the term” code smells”(signs that something is wrong with your code ) was not obvious to me. 

The section that explained the difference between integration testing and unit testing was fairly short because they narrowed the main idea down to a few sentences: “It’s all about the level of isolation. While unit tests have to be completely isolated, integration tests don’t shy away from using external dependencies….integration tests offer a more high-level view of the application than unit tests do. Because of that, the feedback they provide is both more realistic and less focused.”

The 9 best practices at the end are titled: Tests Should Be Fast, Tests Should Be Simple, Test Shouldn’t Duplicate Implementation Logic, Tests Should Be Readable, Tests Should Be Deterministic, Make Sure They’re Part of the Build Process, Distinguish Between The Many Types of Test Doubles and Use Them Appropriately, Adopt a Sound Naming Convention for Your Tests, and Don’t Couple Your Tests With Implementation Details. These tips are easy to understand based off of the title alone but throughout each section, the author uses bits of code as examples and bullet points to thoroughly explain each idea. In the future, I will refer to these tips when I need to write tests for a project I will work on.

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.

In class, we began learning about the use of mocking in software testing. After doing an activity, I realized I only slightly understood the purpose of it. So, I decided to investigate, which is when I found The Art of Mocking by Gil Zilberfeld and Dror Helper.

The article begins by giving an introduction to unit tests for those who might not be familiar. They also give an example in C#, which is the language they use for the rest of the article. However, this does not impact information about mocking besides the syntax of the examples.

Once unit tests are covered, hand-rolled mock tests are introduced: they are classes that the developer(s) code which take the place of the real objects for testing purposes. It might not accurately test the system, but it ensures the business logic of the class works. 

The types of mocking listed are those manually made by the developers and those auto generated by mocking frameworks (Mockito or Moq). The article goes quite in depth into mocking frameworks, in their types, what they do, and what to look for when choosing one. Zilberfeld and Helper also discuss the benefits of mocking, which generally boils down to the fact that mocking cuts loose extra requirements for testing, such as databases and other external/complex resources.

Lastly, the best practices and potential hazards are listed. From what I gathered, the important ones were:

• Only use fake objects when necessary, as too many can create weak/fragile tests
• Understand what you’re testing and the dependency
• At most two assertions/verifications per test

I selected this article because I was struggling a little bit with what mocking was and why it was useful. I had somewhat understood the concept and the idea behind it in class, but needed to go on a deeper dive to get a better grip on it. This resource also seems pretty real, in the sense of it feels homemade and focused; all the important stuff is in the articles themselves, not a subscription or anything. 

This article is superb with its examples and clear, in-depth explanations of unit tests and mocking. The formatting is easy to follow and allows for smooth learning and transitions from concept to concept. I personally believe that mocking is quite useful when applied lightly. I learned that Verify should only be used in fake objects when it’s the only way your program can pass or fail; otherwise, it might not matter whether every method actually calls the expected method. 

This affected me in a positive way as it gave me greater insight to mocking and more confidence in my personal understanding as to why we use it. I expect to apply this in a future job when I might need to test a method that uses database information, but it would take too many resources to use the database for testing purposes.

From the blog CS@Worcester – Josh's Coding Journey by joshuafife and used with permission of the author. All other rights reserved by the author.

In the world of software development, ensuring the quality of a product is paramount. This necessitates comprehensive testing methodologies that cover various aspects of the software development lifecycle. Among these methodologies, Integration Testing and System Testing play crucial roles in ensuring that software meets its requirements and functions as expected. In this blog post, we’ll delve into Integration Testing, System Testing, the role of requirements and test plans, and how JUnit, a widely-used testing framework for Java, assists in detecting defects.

Integration Testing: Integration Testing involves testing the interfaces and interactions between different components or modules of a software application. It verifies that integrated units work together as expected. This testing phase is crucial as it identifies defects that arise from the interaction between integrated components. JUnit provides a framework to write and execute integration tests efficiently, facilitating seamless integration between components.

System Testing: System Testing is a comprehensive testing phase that evaluates the entire system’s behavior against specified requirements. Unlike Integration Testing, which focuses on component interactions, System Testing examines the system’s functionality, performance, security, and other quality attributes. JUnit enables developers to write system tests that validate the system’s behavior as a whole, ensuring that it meets the defined requirements.

Requirements and Test Plans: Requirements serve as the foundation for testing activities. They outline the expected behavior and functionality of the software system. Test Plans are derived from requirements and define the approach, scope, resources, and schedule for testing activities. JUnit allows developers to align test cases with requirements, ensuring comprehensive test coverage. By mapping test cases to specific requirements, teams can verify that each requirement is adequately tested, thereby reducing the risk of undetected defects.

Defects in JUnit: Defects, or bugs, are inevitable in software development. JUnit plays a crucial role in identifying and addressing defects through its testing capabilities. When a test case fails, JUnit provides detailed information about the failure, including the location and nature of the defect. This information helps developers quickly identify and fix the issue, ensuring the software’s reliability and stability.

Conclusion: Integration Testing, System Testing, requirements, test plans, and defect management are essential components of the software testing process. JUnit simplifies and streamlines these activities by providing a robust framework for writing and executing tests. By leveraging JUnit effectively, developers can ensure that their software meets requirements, functions as intended, and delivers a seamless user experience.

Websites:

Link to JUnit Documentation

Get starter with JUnit 5

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

Testing code and software can come in many different forms, some may be better than others. In this post, we will look at path testing, or happy path testing. Path testing is representing your code in a linear graph, using nodes and arrows. The nodes represent lines of code, and the arrows dictate the flow of the code or program. It’s a fairly straightforward way of testing, depicting how you want your code to flow, and how the code actually flows. It can help you visualize the execution of your program.

In this blog post, it talks specifically about happy path testing, which is described as “a technique that tests the application through a positive flow to generate a default output,” or “a type of software testing that focuses on the most common and expected scenarios that a user will encounter when using an application.” Essentially, it allows you to see how your code executes in a typical environment. In the blog post, the example of an online shopping site is used, where the typical flow would be a user visiting the website and browsing through the products, adding some products to their cart and going to checkout, entering their shipping address and payment details, and finally finally receiving a confirmation and an email. That’s the happy path the website takes when a normal user goes to shop. This kind of testing ensured that nothing wrong occurred when it came to a normal execution. This is the same thing that happens when applying this testing strategy to your code, going through your code in a normal, typical situation and making sure you will not run into bugs and errors. Some steps to perform happy path testing effectively would be defining the scope and objectives of the testing, designing the test cases and scenarios, executing the test cases and scenarios, analyzing and reporting the results and outcomes, and fixing and retesting the issues and defects. The post also talks about the opposite of happy path testing, and some challenges when it comes to this kind of testing, such as overlooking negative and edge cases and relying on the happy path as a final verdict.

Although happy path testing is an effective testing strategy, it only covers the main part of your code, leaving some areas vulnerable to possible bugs and errors that may not be picked up or detected. But even with that, this is good for an initial testing strategy. It allows you to confirm that your code works as intended and expected when it comes to the most common scenarios of your code. Personally, I’m a fan of this kind of testing, being able to visualize the way my code works is nice. However, I know its limits and when it is effective and when it is not.

From the blog CS@Worcester – Cao's Thoughts by antcao and used with permission of the author. All other rights reserved by the author.