For this blog post, I’d like to discuss an interesting piece by Jeremy D. Miller titled “Effective Test-Driven Development”. It provides some practical tips and advice for developers on how to make the most of Test-Driven Development (TDD). I found it very relatable because it relates to what we’ve been discussing in our software development class, particularly testing and keeping our code in good shape.

Miller’s article delves into TDD, which entails writing tests before coding. While TDD is a common method, he explains how to avoid common issues and adhere to best practices. He discusses how too much setup code, slow feedback, and unnecessary tests can all contribute to slow performance. He contrasts these issues with good habits such as writing quick tests, providing timely feedback, and ensuring tests are clear about what they check in the code.

Miller also discusses how TDD can help with design and quick feedback. He mentions that TDD encourages developers to plan out how their code will look, making it easier to maintain and less buggy. The goal is to make testing an integral part of development rather than a final step, so that problems can be identified early.

I chose this blog because we had only touched on TDD in class and I wanted to see how it applied in real-world software development. I thought it was fascinating that TDD is about more than just writing tests; it’s also about improving code structure. Miller’s suggestions are ones I’d heard of but hadn’t looked into thoroughly. His advice helped me understand how TDD can improve code quality and make life easier for developers, which is extremely useful to me as a student learning to write solid code. Reading this blog made me realize how important it is to write tests that do more than just check if things work; they should also ensure that the code is easy to change later. Miller, for example, discusses “happy paths” in which tests check for expected results and “negative tests” in which errors are handled. This is consistent with what we’ve been learning about testing, but it also gives me a better understanding of how TDD can help clean up and improve code over time.

Miller’s post emphasizes the importance of not rushing through TDD. It’s better to take your time and write clean, manageable code. I found this extremely useful because, as a beginner, I frequently feel the need to complete tests quickly. But Miller reassured me that taking it slowly can save time in the long run by identifying problems early on.

I intend to use TDD more actively in future projects. By writing tests first, I can keep the end goal in mind from the start, reducing the need for major rewrites later. I also feel more confident about refactoring because TDD will help me keep the code solid while I make changes.

In the future, I want to incorporate Miller’s concept of clear intent expression into my code. Writing tests that clearly demonstrate what the code is supposed to do will simplify things for others and help me stay focused when working on larger projects.

Blog: https://jeremydmiller.com/2022/10/03/effective-test-driven-development/

From the blog CS@Worcester – Matchaman10 by tam nguyen and used with permission of the author. All other rights reserved by the author.

In today’s fast-paced digital natural world, software systems are required to be scalable, adaptable, and powerful. Microservice architecture is one architectural approach that has gained significant popularity in answering these objectives. Recently, I discovered a helpful document named “Microservices Architecture” on Microsoft’s Azure Architecture Center website, which offered a full description of this technique.

The article describes microservices architecture as a design pattern in which applications are developed as a collection of small, independent, and loosely linked services. Each service is liable for an independent function and may be built, launched, and expanded separately. This differs from monolithic systems, which have all components tightly integrated into a single codebase. The article highlights the advantages of microservices, such as increased scalability, shorter development cycles, and the option to utilize various technologies for different services. It also addresses difficulties like increased complexity in managing inter-service communication, data consistency, and deployment pipelines.

The reason I chose this article is because Microsoft Azure is a cloud computing platform that I am familiar with and am learning more about how it is within microservice architecture. The article’s clear explanations and practical insights make it an excellent pick for learning about microservices in a real-world setting.

Reading the article was an eye-opening experience. I was particularly struck by the emphasis on independence and modularity in microservices. The thought of each service being created and deployed individually appealed to me since it enables teams to work on different areas of an application without stepping on each other’s toes. This method not only accelerates development but also makes it easier to discover and resolve problems.

However, this article also made me aware of the issues that come with microservices. For example, maintaining communication across services necessitates careful design, while guaranteeing data consistency between services can be challenging. This helped me realize the value of solutions like API gateways and message brokers, which assist to speed these operations.

One of the most important lessons that I learned is that microservices aren’t a one-size-fits-all solution. The article highlights that this architecture is best suited for big, complicated applications that demand a high level of scalability and flexibility. For smaller projects, a monolithic approach may be more suitable. This sophisticated viewpoint helped me comprehend that the correct architecture is determined by the project’s individual requirements.

In the future, I plan to apply microservices architectural ideas to my own projects. I’m particularly looking forward to exploring containerization technologies like Docker and orchestration platforms like Kubernetes, both of which are commonly used in microservices setups. I’ll also remember how important it is to build clear APIs and implement effective monitoring mechanisms to handle the complexity of distributed systems.

https://learn.microsoft.com/en-us/azure/architecture/guide/architecture-styles/microservices

From the blog CS@Worcester – computingDiaries by hndaie and used with permission of the author. All other rights reserved by the author.

In software development, technical debt refers to the extra work required in the future when quick, easy solutions are chosen instead of more thorough, time-consuming approaches. This concept is explored in the article “What is Technical Debt & How Can Companies Manage It?” by Coder Academy.

The article defines technical debt as the accumulation of suboptimal code or design choices made to deliver projects faster. While these shortcuts may lead to quicker releases, they often result in higher maintenance costs and reduced code quality over time.

Key Factors Contributing to Technical Debt

• Time Constraints: Meeting tight deadlines can lead to hasty decisions that prioritize speed over quality.
• Evolving Requirements: As project requirements change, older code may no longer align with the current needs.
• Lack of Documentation: Poor documentation can create misunderstandings and increase errors, contributing to technical debt.

Strategies for Managing Technical Debt

The article suggests several ways to manage technical debt effectively:

• Regular Code Reviews: Consistently reviewing code helps identify and address suboptimal practices early.
• Refactoring: Improving existing code without changing its functionality can enhance readability and maintainability.
• Comprehensive Documentation: Thorough documentation supports better understanding and future modifications.
• Prioritization: Address technical debt based on its impact on the overall project’s progress and quality.

I chose this article because technical debt is a common issue in software development and is closely related to our course material. For Computer Science students, learning how to avoid technical debt is critical. If technical debt becomes a habit, it can lead to poor time management, less active learning, and weak decision-making skills. Understanding its causes and management strategies is essential for maintaining code quality and ensuring project success.

The article provided valuable insights into technical debt and its consequences. I learned that while quick fixes may save time initially, they often lead to higher maintenance efforts and system issues later. The importance of regular code reviews and refactoring stood out, as these practices can help reduce technical debt and improve code quality.

I also appreciated the visual diagrams and tables in the article, which made it easier to understand what technical debt is and how to manage it. I particularly liked the advice on avoiding technical debt and understanding its long-term impacts as a programmer.

By adopting the strategies outlined in the article, I aim to contribute to developing sustainable, high-quality software solutions. This knowledge will help me avoid accumulating technical debt in my future work. I am motivated to build new habits, such as maintaining good documentation, participating in regular code reviews, and prioritizing refactoring. These practices will help me become a more effective and skilled programmer.

Sources:
What is Technical Debt, and how can you manage it?

Citation:
Academy, Coder. “What Is Technical Debt, and How Can You Manage It?” Medium, Medium, 18 May 2016, medium.com/@coderacademy/what-is-technical-debt-how-can-companies-manage-it-1af08992f6d0. 

From the blog CS@Worcester – CodedBear by donna abayon and used with permission of the author. All other rights reserved by the author.

I just recently finished learning about git in a classroom setting, so every step from forking to cloning to branching and staging then committing into pushing ending with pulling. All the parts to get the gist of git, but nothing in the way of advanced use. Enter this article written by Gitlab.

As its title suggests, “15 Git tips to improve your workflow” has 15 total tips in regards to git, so lets go through some of them together.
1. Git aliases; amazing function, to think that rather than checkout, branch, or commit I could use a custom name. This is, in my opinion, great for new devs since once they grasp the concept of what a command does they can alias it to something that makes sense to them.
2. Visualizing repo status with git-prompt.sh; needs to be downloaded but definitely a useful tool for people like me who benefit from a more visual experience.
3. Command line commit comparisons; definitely more of a practical command that is helpful to see your workflow. Definitely going to be using this one to help me track what I actually worked on and might even download the Meld tool they mentioned.
4. Stashing commits; another practical command that makes sense just for a dev to know. If you have to push a sudden fix in the middle of adding a feature you can stash the changes made for the feature, commit the fix and then just pop the stash to get back all the previous work.
5. Pull frequently; nothing to add.
6. Auto-complete commands; tab to automatically finish a word is also applicable in search engine prompts as well. So useful for a new dev since if they forget the command but remember the first letter they can just flick through the commands until they find what they were looking for.
7. Set a global .gitignore; create a list of files to remove from commits and put it on the exclusion list, nice and simple.
8. Enable autosquash by default; had to look this up, apparently the squash command merges commits into one big commit. Personally not too sure of the use case so will have to test it out at a later date.
9. Delete branches locally that remote removed when fetching/pulling; as part of fetch, there is a prune attribute that will work this functionality and it just needs to be set to true.

Obviously there are 6 more tips and they are: Use Git blame more efficiently, Add an alias to check out merge requests locally, An alias of HEAD, Resetting files, The git-open plugin, and The git-extras plugin. I will not go over them here but definitely give the article a read if you are interested.

Link:
https://about.gitlab.com/blog/2020/04/07/15-git-tips-improve-workflow/

From the blog CS@Worcester – Coder's First Steps by amoulton2 and used with permission of the author. All other rights reserved by the author.

Scrum is a widely-adopted framework in software development that is designed to encourage collaboration, smart time usage, adaptability, and transparency to deliver high-quality results to customers. The methodology centers around three roles: Scrum Master, Product Owner, and the Development Team.  Each role is critical to ensuring the scrum process is effective. Together, they uphold Scrum’s core values: commitment, focus, openness, respect, and courage.

The Roles in Scrum

1. Scrum Master:
   The Scrum Master serves as the facilitator and coach, ensuring that the team will follow the Scrum principles. They steer the team away from distractions, help remove obstacles along the way, and guide the team toward self-organization and improvement. Their role is not necessarily  about managing the team but empowering it to achieve its goals effectively.
2. Product Owner:
   The Product Owner is the voice of the customer, responsible for “maximizing” the product’s potential and value. They manage the product backlog, prioritize features based on the current sprint, and provide clear requirements to the team. They act as the bridge between stakeholders and the development team, ensuring that there is a complete alignment on goals and expectations.
3. Development Team:
   The development team consists of software development professionals who collaborate to deliver increments of the product during each sprint. They are self-organizing, meaning they decide how to accomplish their tasks without intervention from the Scrum aster or product owner. This is great for fostering ownership, accountability, and for delivering high-quality work.

The Values of Scrum

Scrum is mostly made up of  five key values that the team’s behavior and decision making:

• Commitment: Teams dedicate themselves to achieving sprint goals and delivering value.
• Focus: By working on a limited set of tasks at a time, teams maintain clarity and productivity.
• Openness: Transparent communication fosters trust and ensures that challenges are addressed collaboratively.
• Respect: Team members value each other’s contributions and expertise, creating a positive and supportive work environment.
• Courage: Teams take bold steps to innovate and tackle tough problems.

Why Scrum Matters

Scrum’s structured yet flexible approach enhances collaboration, reduces waste, and drives continuous improvement. By empowering teams to adapt to change and deliver incrementally, organizations can respond more effectively to customer needs and market shifts. Whether done in software development, marketing, or other fields, Scrum’s roles and values provide an amazing foundation for the success of a company.

Resource on Scrum Management

“What is Scrum in Project Management?” is an informative video about the Scrum methodology by the work management company Wrike.  This resource informatively explains all aspects of scrum, including but not limited to: goals, roles, practices, and examples.  It also explains the idea of a “sprint” which is the current goals of the development team that they must get done before the next sprint.  Check out the video for more information on Scrum Methodology.

Link: https://www.youtube.com/watch?v=M12HSYZkrgQ

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

One of the incredibly positive aspects of the software development community is the general spirit of collaboration. This is particularly true within the open source software community. Paired with the fact that anyone can maintain a project/portfolio on GitHub, there is a lot of code out there. I would argue that this is a good […]

From the blog CS@Worcester – CurrentlyCompiling by currentlycompiling and used with permission of the author. All other rights reserved by the author.

We have discussed REST APIs in class and are learning to use them with a practical, hands-on approach. This approach is faster for the course and is better for my understanding of the material, but I thought it would be a good idea to learn the history of REST APIs and expand my general knowledge of the subject. I found The Postman Team’s blog post, “What Is a REST API? Examples, Uses, and Challenges,” which discusses the fundamentals of REST APIs, including their history, standards, functionality, uses, benefits, and challenges.

The blog starts by explaining how REST APIs evolved from a simpler alternative to SOAP APIs, becoming the backbone of the modern web. With the advances in the internet during the early 2000s, developers and companies needed to be adaptable, which SOAP API was not the tool for. The post expands on the disadvantages of SOAP APIs and explains why they were less valuable at the time. SOAP APIs were not scalable and too restrictive, making it difficult for developers to innovate. REST APIs, on the other hand, gave companies and developers the flexibility and scalability needed to keep up with the internet as it evolved. Another key feature it had was independence. REST APIs are not tied to a platform or language and have client-server separation. The adaptability and simplicity made REST APIs an obvious choice for companies like eBay and Amazon.

The post also discusses some of the challenges involved with REST APIs. Some include maintaining consistent endpoints, managing multiple versions, and dealing with differing authentication methods. All these issues complicate the development and maintenance of REST APIs which is why there are standards used to mitigate problems in the future.

The blog’s final section showed REST API examples, including Amazon S3, Twitter, Instagram, and Plaid. It explained how each API has its own specialization, like Twitter’s registration process or Amazon’s ability for developers to incorporate AI.

What I found most interesting about the blog post was the timeline for REST APIs’ evolution, the big names that pushed REST APIs forward, and the reasons behind their actions. Major companies we know today, like eBay and Amazon, got ahead of the curve, leading the way for companies like Twitter and Facebook. Learning the reason behind its success and its practical uses was interesting. I will use what I’ve learned to approach future projects with a stronger understanding of REST APIs, ensuring I design scalable, adaptable, and efficient code.

Blog: https://blog.postman.com/rest-api-examples/

From the blog CS@Worcester – KindlCoding by jkindl and used with permission of the author. All other rights reserved by the author.

In the world of software development, effective version control and collaboration is very important. Two prominent platforms facilitating these needs are GitLab and GitHub. The article “Difference Between GitLab and GitHub” from GeeksforGeeks offers a comprehensive comparison of these platforms, highlighting their unique features and differences.

The GeeksforGeeks article delves into the distinctions between GitLab and GitHub, focusing on aspects such as:

• Continuous Integration/Continuous Deployment (CI/CD): GitLab provides built-in CI/CD capabilities, enabling seamless automation of the software development lifecycle. In contrast, GitHub requires third-party integrations to achieve similar functionality.
• Self-Hosting Options: GitLab offers a free community edition that supports self-hosting, granting users full control over their repositories. Conversely, GitHub self-hosting is available only through its paid enterprise version.
• User Permissions and Collaboration: GitLab’s free version allows for more extensive user permissions, including role-based access controls and protected branches in private repositories. GitHub imposes more restrictions in its free tier, such as limiting protected branches to public repositories and capping the number of collaborators in private repositories.

I chose this article because it provides a clear and concise comparison of GitLab and GitHub, two platforms integral to modern software development. Understanding their differences is crucial for developers and teams aiming to select a tool that aligns with their workflow and project requirements. I also chose this article because we use both platforms in class. In the beginning of the semester, if someone was to ask me what the main difference is between GitLab and GitHub. I would not be able to tell them.

The article enhanced my understanding of the operational variances between GitLab and GitHub. I learned that GitLab’s integrated CI/CD pipelines can streamline development processes by reducing reliance on external tools. This integration allows a more cohesive environment for managing code changes, testing, and deployment.

Additionally, the flexibility of self-hosting with GitLab’s free community edition offers significant advantages for organizations concerned with data privacy and security. It allows for greater control over the development environment without incurring additional costs.

The article also shed light on the importance of user permissions in collaborative projects. GitLab’s comprehensive role-based access controls in its free version facilitate better management of team contributions and code integrity. In contrast, GitHub’s restrictions in its free tier may pose challenges for larger teams or projects requiring stringent access controls.

Recognizing the importance of these platforms in the industry, I am committed to deepening my proficiency with both GitLab and GitHub. I plan to engage with comprehensive tutorials and hands-on projects to master their functionalities. By dedicating time to explore and practice with these platforms, I aim to position myself as a proficient user, ready to contribute effectively in professional settings where these tools are integral. This proactive approach will not only enhance my technical skills but also increase my employability in a competitive job market.

Sources:
Difference Between GitLab and GitHub

Citation:

“Difference between GitLab and Github.” GeeksforGeeks, GeeksforGeeks, 23 July 2024, http://www.geeksforgeeks.org/difference-between-gitlab-and-github/. 

From the blog CS@Worcester – CodedBear by donna abayon and used with permission of the author. All other rights reserved by the author.

I will admit, learning Git is…unpleasant? A headache? Baffling? Rage-inducing? I, for one, do not enjoy trying to untangle the mess when Git goes off the rails. In fact, I have on a few different occasions decided that it would be more worth my time to redo all my work for a project/assignment than spending […]

From the blog CS@Worcester – CurrentlyCompiling by currentlycompiling and used with permission of the author. All other rights reserved by the author.