Category Archives: Quarter-2

More Information on Agile and Scrum

I decided to write this self-directed blog entry on an article I found regarding information and differences between Agile and Scrum, two topics we have recently been covering in class. I sought to learn more about these two topics, as I was not entirely confident in my understanding of them. I unfortunately was absent due to an illness on the day we covered the Agile methodology in class, so in order to get a better understanding on the topic, I went through the activity and learned more about it on my own time. This article summarizes what Agile and Scrum are, their differences, the core Agile values and principles, the basics of Scrum, and when and how they should be utilized. This was quite a thorough read and was very informative to reinforce what I had learned from the class. One thing that I did not immediately connect from class was that Scrum was based on the Agile philosophies. As best said in the article, Agile is the guiding principles to shape how you work, Scrum gives a structured playbook to follow.

Though I do not plan to go into software development as a career path, I think this is still a beneficial way to learn quality teamwork and collaboration. Regardless of concentration or field of study, computer science and information systems related disciplines require efficient teamwork and collaboration. Working professionally in the field for four years now, there has never been a project or major task that involved no one besides myself. I always had to work with different teams to accomplish the final goal that was needed. Learning this framework could be very beneficial for me moving forward so I can apply it to my future professional projects. Having better tools almost always leads to a better job done, and I always strive to improve and better myself as a technology professional.

One discovery made from this article is that there are other common implementations of Agile outside of Scrum. One of these, I recognized from my professional experience, as my current organization requires all full-time staff to participate in Lean training. I was not aware that Lean training, which according to the article, “aims to eliminate waste and maximize customer value by focusing on efficiency and continuous improvement,” was an extension of the Agile methodology. This is critical, especially in the healthcare environment that I work in. It is an everchanging field and an environment that can change drastically within a matter of seconds. Though I am not a full-time employee and have yet to participate in that training, I will participate in it once I resume full-time work permanently at the end of December 2025.

ZG

The link to the blog post: https://monday.com/blog/rnd/agile-vs-scrum/

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From the blog CS@Worcester – zach goddard by Zach Goddard and used with permission of the author. All other rights reserved by the author.

Learning RESTful Designs Principles

So for this second quarter’s professional development activity, i read the Stack Overflow post, “Best practices for REST API design”(https://stackoverflow.blog/2020/03/02/best-practices-for-rest-api-design/), in basics it covers the fundamental guidelines for designing Restful APIs that are both efficient and developer-friendly, covering some key principles like properly structuring URLs, making sure to use nouns instead of verbs when it comes to endpoint naming, implementing HTTP methods accordingly to standards as well as ensuring consistency in API design. The post also talks a little bit about versioning, error handling and security as vital aspects of any production-level API.

I selected this specific resource considering it does relate to what we were doing in class and some of our homework as well, since we’re getting involved on building maintainable, modular systems and REST APIs are just one of the common interfaces used in modern software architecture, for anyone trying to work in backend development you can deepen your understanding of how to design APIs that other developers can easily understand, use and extend to some degree.

From the rest of the article(no pun intended), I learned that REST isn’t just about making the things in question work but having a consistent and predictable interface that makes client-server communication easier. I like how the article broke down best practices for naming conventions, like how using resource-based URIs like /users or /orders/1234 instead of action-based ones like /getUser makes the API more intuitive. I also remembered about the significance of using HTTP status codes, like 201 Created for successful POST requests or 404 Not Found for missing resources. These small details can contribute somewhat to API usability and maintainability.

So i’d say pretty much that the article reinforces the more architectural concepts that we’ve discussed before in class, like abstraction, modularity and encapsulation. An API that is well-designed abstracts away complex backend logic and presents a clean, understandable interface much like how we design modules in general when it comes to software construction. I also like to think that it connects to our work when it comes to some other software design principles like separation of concerns and loose coupling. RESTful Design makes it so that different parts of a system can evolve independently, which is essential for large-scale software projects.

If i had to reflect on this after my reading of the article, i would say that i realize on some occasions i find myself taking shortcuts when designing endpoints for personal projects, mostly just trying to focus on making sure it’s functionality is in suitable position as opposed to focusing on structure, but after my reading i think i’ll try to be more deliberate when it comes to naming conventions, HTTP method uses and documentation.

Overall, this resource gave me a clearer framework for thinking about web service design, and I can already see how it will help me create more scalable and maintainable software in future projects.

From the blog CS@Worcester – CSTips by Jamaal Gedeon and used with permission of the author. All other rights reserved by the author.

Principle of Least Knowledge (AKA Law of Demeter)

Hello everyone, today I will be talking about the Principle of Least Knowledge (AKA Law of Demeter). When first looking into this topic I was unsure of exactly what this was and how it would be applied to programming. When doing my research I found the Khouri College of Computer Sciences at North Eastern University had a page dedicated to this topic, where this law was first introduced.

General Formulation

Illustration of the Law of Demeter, highlighting the principle of limiting interactions between objects.

The LoD is essentially a simple style rule for designing object oriented systems.

“Only talk to your immediate friends” is the motto. 

Professor Leiberherr, the author, states a formulation of “Each unit should have only limited knowledge about other units: only units “closely” related to the current unit.” Its main motivation is to control information overload thus helping memory management as each item is closely related.

You can informally summarize the Law with these three formulations:

  • Each method can only send messages to a limited set of objects, namely to the argument objects and to the immediate subparts of the class to which the method is attached.
  • Each method is “dependent” on a limited set of objects (organize dependencies)
  • Each method “collaborates” with a limited set of objects (organize collaborations)

To formulate the Law we can choose from the following independent possibilities:

  • Object/Class
    • Class formulation is intended to be compile-time
    • Object formulation is intended to be followed conceptually
  • Messages/Generic functions/Methods
  • Weak/Strong
    • If we interpret it as all instance variables, including the inherited ones, we get the weak form of the Law. If we exclude the inherited instance variables, we get the strong form of the Law.

Benefits

In a paper written by Leiberherr, there are a couple facts stated for the benefits:

  • If the weak or strong LoD is followed and if class A’s protocol is renamed, then at most the preferred client methods of A and A’s subclasses require modification.
  • If the weak or strong LoD is followed and if the protocol of class A changes, then only preferred client methods of A and its subclasses need to be modified and only methods in the set of potential preferred clients of A and its subclasses need to be added
  • There’s even more benefits highlighted in the paper pertaining to limiting information overload.

Final Thoughts:

Prior to this webpage I knew nothing about this law/principle, however I now understand that it is a fairly useful rule or its respective use case. The law teaches you a way to program Classes, Inheritance, Abstraction, and a few other techniques. Infact There is so much more depth to this that I cant even fully fit it into this blog post. I would highly recommend you check out this page as It contains all the information you need along with sources to learn this.

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From the blog Petraq Mele blog posts by Petraq Mele and used with permission of the author. All other rights reserved by the author.

Blog Post for Quarter 2

October 21st, 2025

Recently, my class has been going over stuff regarding teamwork and ways to approach building a software or product. For example, the waterfall method, agile methodology, and scrum have come up in discussion. This has reminded me of POGIL since POGIL was a group used in the classroom semi-frequently.

Because of this correlation, I decide to look at blogs about POGIL. However, I noticed something interesting about the blog I chose. So I chose two just because I found some things interesting. The first was made with WordPress.com, much like the one I’m making here. It was about POGIL. The blog appeared to just be called “The POGIL Project.” Or, that’s what I have surmised after looking at the web address. Additionally, there was some interesting notes regarding how it appears to be designed for faculty teaching or implementing POGIL based team activities. However, the last post appears to be in 2015, which is not as recent as I’d like. (However, there appears to be someone who has the same name as the author of this blog who is cited to be impactful to the development of POGIL. Which is pretty cool, though I couldn’t concretely find evidence that they were the same person.)

So, I looked for an alternative. The author was not listed which isn’t great but it is recent. It appears to also be about POGIL. But the most interesting part was how it was applied to science as opposed to actual computer science. Actually, both blogs do that as well.

This new blog I picked was basically an overview of how POGIL works and why it is good to use. It overviewed the reasons why POGIL is used and what it is intended to do. It basically overlaps with what I know about POGIL already.

In a way, this is interesting in how this mean POGIL is both universal and useful. It isn’t just a weird Computer Science class thing we do, it’s an actual science thing. Which is definitely more interesting to know about considering I rarely encountered POGIL before college. It probably won’t really affect my opinion on POGIL but it is mildly interesting how it is something that I’ll see around. I guess I can keep that in mind.

FIRST INITIAL BLOG: https://thepogilproject.wordpress.com/

SECOND, REVIEWED BLOG POST: https://www.transtutor.blog/pogil-guide-high-school-biology

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

BPM On the Up & Up

With the technological advances and innovations in business continue to exponentially grow within their practices. The biggest challenge is all the pressure they face to stay afloat. From high climbing costs to having the fiercest competition with other companies. Long term, this causes danger to viability and businesses cannot afford to screw up continuously. To address these issues, a software has been implemented that eventually became the foundation of “digital transformation”, according to Digital Journal.

This is called Business Process Management (BPM), a software providing tools to quote “streamline processes, manage compliance, and adapt to shifting market conditions”. BPM is used to touch various different areas like different departments, locations, and IT systems. A revolutionary tactic has been made here, due to this process helping managers efficiently track and pinpoint errors & inefficiencies. Also for the team members, they can have a clear understanding of their goals and mission(s). 

Speaking of efficiency, this is essentially the first and most important benefit (arguably) that users hopefully will recognize. A lot more tasks can be completed in a higher-level manner. Let’s use a couple of examples: finance and healthcare. To treat and prevent illnesses, increased automation creates higher capacity. For financing, provider automation keeps secureness over companies against fraud and error. This translates to transparency, where these companies get to view their status and performance, in turn increasing accountability.

Despite the pros, all ideas come with its cons. BPM is not a straightforward process that is easily implemented whatsoever. Some businesses and organizations are limited in terms of skill gaps, fear of change and redesign complexities. In order to resolve this, companies need to broaden their vision by being open to the idea of BPM. Seeing the benefit will lead to greater outcomes in the performance as a whole.

Why is this important to discuss? The business industry is constantly changing, from the amount of businesses being formed, their structure outlines, idea creations, improving outcomes, etc. Depending on the size of the business (whether it’s yours or you work for one), there needs to be some sort of structure and process to have smooth outputs and less friction. For me personally, I knew that all businesses had their own processes in terms of how they’re run, but BPM is a new term I had never really learned or tapped into.

Moving forward, with the knowledge of programming and software development that I’m currently learning through a curriculum, I can hopefully bring a new/different perspective into a business when I am ready to delve deeper into the work field. Maintaining business process management will improve productivity, so it is not something to ignore at all. 

Source: BPM software and the move toward smarter business practices – Digital Journal

From the blog CS@Worcester – theJCBlog by Jancarlos Ferreira and used with permission of the author. All other rights reserved by the author.

Blog Entry: Duck Simulator

Summary of the Resource

The resource I explored is the Duck Simulator project from the article “Design Patterns: The Strategy Pattern in Duck Simulations” by Head First Design Patterns (https://www.oreilly.com/library/view/head-first-design/0596007124/ch06.html). The simulator features different types of ducks like Mallard, Redhead, and Rubber ducks with behaviours such as flying and quacking. What’s particularly interesting is that these behaviours aren’t hard-coded into the duck classes; instead, they can be assigned or changed dynamically at runtime. This design highlights important object-oriented programming concepts, including polymorphism, encapsulation, and code reusability. It also demonstrates how the strategy design pattern allows developers to build flexible, scalable, and maintainable programs. The simulation is not only educational but also fun, giving a visual and interactive way to understand abstract programming concepts.

Why I Chose This Resource

I chose the Duck Simulator because it is a hands-on, practical example that clearly demonstrates OOP principles we are currently learning in class. I was looking for a resource that is engaging, easy to follow, and yet illustrates advanced programming concepts like abstraction, interfaces, and composition. The simulator is particularly appealing because it shows how separating behaviours from the main duck classes makes it easy to add new features or modify existing ones without rewriting the core code. This approach mirrors how professional software projects are structured, and I wanted to see an example that connects what we learn in theory to practical programming.

What I Learned and Reflected On

Working through the Duck Simulator helped me understand how to design flexible and maintainable code. Previously, I often relied on inheritance to share behaviours, but this project demonstrated how composition provides more adaptability and control. For example, I could give a Mallard duck a “fly with rocket” behaviour without touching the original class—something that would have been difficult or messy using only inheritance.

The project also helped me see the value of modular thinking, treating behaviours as separate, reusable components that can be mixed and matched across objects. This makes it much simpler to extend the program, add new duck types, or implement additional actions. Experimenting with the simulation gave me a tangible way to understand polymorphism and modular design, which made abstract class concepts from lectures much easier to grasp. It also reinforced the idea that writing clean, reusable code is as important as writing code that just works.

How I’ll Use This in the Future

In my future projects, I plan to apply the lessons from the Duck Simulator by designing programs in which behaviours can be swapped, updated, or extended independently of the main code. This will be especially useful in games, simulations, or any software where features may change over time. The project reinforced the importance of thinking ahead about software structure and planning for flexibility, rather than just focusing on making the code functional. Overall, the Duck Simulator showed me that good software design is a skill that complements programming ability, and it’s something I will carry forward in both my academic and professional projects.

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

Team management in software development

As a software developer there is a significant chance that you will develop software in a team environment. I know as an entry level developer gaining this experience beforehand would be a massive boost for my career but what exactly does team management entail?

The importance of team management

In a perfect world a team of developers all work perfectly together synchronously & complete a task in the best way possible. In reality, each team will have people of different skillsets, creativity, and ideas for development. Therefore, teams need to be managed in order to optimize development as much as possible.

Diagram illustrating the roles within a software project development team.

Creating a team

Before assembling a team for a project its important to highlight the scope & needs in order to figure out how many, and the type of, developers. According to itrex, some examples of developers you may need would be:

– Software Developer: Engineers and stabilizes the product & solves any technical problems emerging during the development lifecycle
– Software Architect: Designs a high-level software architecture, selects appropriate tools and platforms to implement the product vision, & sets up code quality standards and performs code reviews
– UI/UX Developer: Transforms a product vision into user-friendly designs & creates user journeys for the best user experience and highest conversion rates
– QA(quality assurance) Engineer: Makes sure an application performs according to requirements & spots functional and non-functional defects
-Test Automation Engineer: Designs a test automation ecosystem & writes and maintains test scripts for automated testing
– DevOps Engineer: Facilitates cooperation between development and operations teams & builds continuous integration and continuous delivery (CI/CD) pipelines for faster delivery
– Business Analyst: Understands customers business processes and translates business needs to requirements.
– Project Manager: Makes sure a product or its part is delivered on time and within budget & manages and motivates the software development team
– Project Owner: Holds responsibility for a product vision and evolution & makes sure the final product meets customer requirements

Infographic illustrating the challenges of managing software development teams, including communication, role clarity, and meeting deadlines.

Post-team assembly

Depending on your project you now have an idea on what team you have, the next step is actually managing them. This entails setting clear objectives/goals, creating a timeline, allocating resources, setting communication strategies, delegating, implementing, tracking progress, monitoring project, managing risks/challenges & maintaining flexibility.

Overview of a project manager’s essential roles and responsibilities in software development.

Final thoughts

I now have a better understanding the importance of team management in software development. In order to maximize efficiency towards a project/goal you definitely need to manage a significant amount of aspects related to development. The ability for a team to work together is also valuable & must be taken into account. Overall, I really enjoyed researching this topic, the main sources I used in my research was this section in Atlassians website as well as this section in the itrexgroup website.

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From the blog Petraq Mele blog posts by Petraq Mele and used with permission of the author. All other rights reserved by the author.

Git bisect

In our class, in our latest POGIL we’ve started to explore debugging, an essential skill that uses different tests, tools, and commands.. The blog post “Supercharge Your Debugging with Git Bisect” by Phil Haack is a blog that talks about debugging with a tool that we’ve just started to familiarize ourselves with. That being git bisect, a command that helps developers locate the specific commit where a bug first appears. I chose this post because I was curious about how this tool can change debugging for me as a developer, as well as the idea of pinpointing where a bug starts in version control.

The post opens with a relatable story about the author facing a bug that had crept into his project over time. Instead of resorting to endlessly going through each commit and running tests, he turned to git bisect to efficiently find the problem. Haack explains how the command works like a binary search. It starts by marking a known commit where the bug exists and a known commit where the program worked correctly. Git then checks out a commit halfway between those two points. After testing that commit, the developer marks it as good or bad, and Git automatically cuts the range of possible culprits down until it pinpoints the exact commit where the issue began. Haack further elaborates on advanced features such as skipping commits that can’t be tested and automating the process with scripts through git bisect run. He also notes potential complications, like when the first bad commit is a merge rather than a single code change, which can make debugging a bit more complicated.

I chose this article because debugging is one my worst and most frustrating aspects of coding, and git bisect offers an easier approach that turns guessing into a faster, more efficient search. While I’ve used Git regularly for version control, I only recently realized it could actively help in finding bugs. The examples given in the blog made it easy to understand how bisecting commits can save on time, especially in large projects with long histories.

Reading this blog gave me new ideas about debugging. I’ve always viewed Git as a way to manage versions, especially when working with others, but now I see it as a debugging tool as well. The concept of using binary search to isolate problems makes me think about what other commands can be used to enhance my time when coding. It’s also a heads up that effective debugging depends on maintaining small, manageable commits because without manageable commits, even Git Bisect can struggle to pinpoint a specific change. Hopefully I can incorporate this tool into my workflow whenever I encounter bugs that I can’t find.

https://haacked.com/archive/2024/11/11/git-bisect/

From the blog CS@Worcester – Coding with Tai by Tai Nguyen and used with permission of the author. All other rights reserved by the author.

Bridging Structure and Flexibility: Understanding Software Design Methodologies and Agile

Hello everyone, and welcome to my blog entry for this week!For this week’s self-directed professional development, I explored the topic of Software Design Methodologies and Agile Practices. I used several online resources, including tutorials from Atlassian Agile Coach and readings from GeeksforGeeks. Even though the focus was on understanding Agile methodologies, I found that many of the ideas connected directly to our discussions in class about the software development life cycle (SDLC) and software design principles.

Summary of the Resource

Software design methodologies provide structured approaches to building and maintaining software systems. They define how development teams plan, design, implement, test, and deliver software. Traditional methodologies like the Waterfall Model, V-Model, and Spiral Model follow a sequential or plan-driven approach — where each stage must be completed before the next begins. These models emphasize documentation, predictability, and control.

On the other hand, Agile methodologies such as Scrum, Kanban, and Extreme Programming (XP) prioritize adaptability, collaboration, and continuous feedback. Agile breaks development into small iterations or “sprints,” allowing teams to quickly adjust to changes in requirements or user needs. Instead of rigidly following a plan, Agile embraces flexibility — delivering functional software early and improving it continuously.

The Agile Manifesto summarizes this philosophy in four values:

  • Individuals and interactions over processes and tools
  • Working software over comprehensive documentation
  • Customer collaboration over contract negotiation
  • Responding to change over following a plan

Why I Selected This Resource

I chose to focus on Agile methodologies because I wanted to understand how modern development teams manage complexity in real-world projects. We often hear about Agile in professional settings, but I wanted to explore why it has become so widely adopted. After learning about structured models like Waterfall, I was curious to see how Agile differs in terms of flexibility, teamwork, and iterative design.

This topic also connects closely to our class discussions on object-oriented design and project management, where adaptability and maintainability are key. Understanding these methodologies helps bridge the gap between theoretical design principles and practical implementation in team environments.

Personal Reflections: What I Learned and Connections to Class

Exploring Agile helped me see how methodology shapes not only the process but also the culture of software development. Here are a few takeaways that stood out to me:

  • Iteration mirrors refinement in design. Just like UML diagrams evolve as designs improve, Agile projects evolve through sprint cycles that incorporate feedback.
  • Communication is central. In Agile, daily stand-ups and retrospectives ensure the entire team stays aligned, similar to how collaboration in object-oriented design ensures consistent architecture.
  • Adaptability is a strength, not a weakness. While traditional models aim for stability, Agile embraces change — which is essential when building modern, user-driven applications.

In class, we often focus on designing systems that can evolve. Agile reinforces that same mindset at the project management level software design should anticipate growth, not resist it.

Application to Future Practice

Moving forward, I plan to apply Agile thinking to my future software projects, especially in group work or larger systems. Instead of trying to perfect a design from the start, I’ll focus on building incrementally, testing continuously, and welcoming feedback early in the process.

For example, in future programming projects, I could organize development into short milestones, use version control branches to represent sprints, and hold mini “retrospectives” after each stage. These habits will not only improve collaboration but also help me develop adaptable, high-quality code.

Citation / Link

Atlassian Agile Coach. “What is Agile?” Atlassian. Accessed October 2025. https://www.atlassian.com/agile
GeeksforGeeks. “Software Development Life Cycle (SDLC) and its Models.” 2025. https://www.geeksforgeeks.org

This exploration helped me connect the structured approaches of traditional methodologies with the flexibility and innovation of Agile. It reinforced that software design isn’t just about code — it’s about creating systems and processes that can evolve as technology and user needs change.

From the blog Rick’s Software Journal by RickDjouwe1 and used with permission of the author. All other rights reserved by the author.

From UML to Design Patterns: Refactoring the Duck Simulator

Hello everyone, welcome back to my blog! In my previous post, I explored object-oriented design basics and the importance of UML diagrams for understanding class relationships. This week, I applied that knowledge to a practical assignment by refactoring the Duck Simulator project using several design patterns, and I want to share what I learned from the process.

Introduction

UML diagrams provide a visual blueprint for software systems, helping developers understand relationships, dependencies, and responsibilities of different classes. While useful on their own, combining UML with design patterns allows us to translate those visual models into flexible, reusable, and maintainable code. In the Duck Simulator project, I used UML to identify repetitive behavior and then applied Strategy, Singleton, and Factory patterns to improve the system’s design.

Using UML to Identify Problems

Originally, the Duck Simulator consisted of an abstract Duck class and subclasses like MallardDuck, RedHeadDuck, RubberDuck, and DecoyDuck. Each duck implemented its own fly and quack methods. My UML class diagram made it clear that this design was repetitive: multiple subclasses had similar or identical behaviors. This repetition violates the DRY (Don’t Repeat Yourself) principle and makes the system harder to maintain or extend. The diagrams highlighted the exact areas where behavior abstraction could be applied, providing a clear roadmap for refactoring.

Applying the Strategy Pattern

The first refactor I implemented was the Strategy Pattern, which separates the fly and quack behaviors into FlyBehavior and QuackBehavior interfaces. Each duck is assigned a behavior object rather than hard-coding methods. Using UML, I could visualize how Duck classes now depend on behavior interfaces, not concrete implementations. For example, RubberDuck now uses the Squeak behavior, and DecoyDuck uses MuteQuack. This change made it easy to swap behaviors dynamically and reduced duplicated code across subclasses.

Using the Singleton Pattern

Next, I noticed that all ducks shared identical behaviors like FlyWithWings and Quack. To avoid creating multiple unnecessary instances, I applied the Singleton Pattern. UML helped illustrate that each behavior class has a static instance and a getInstance() method. This ensured that ducks reused the same behavior object, saving memory and improving consistency.

Implementing the Simple Factory Pattern

Finally, I created a DuckFactory to centralize the creation of ducks with their associated behaviors. UML shows a clear dependency from the simulator to the factory, encapsulating construction logic and removing manual behavior assignments in the simulator. This simplified code maintenance and improved readability, while maintaining all Strategy and Singleton benefits.

Reflection

This assignment reinforced how UML and design patterns complement each other. The diagrams helped me see problems in the design, and patterns provided proven solutions. After completing the refactor, the Duck Simulator is now modular, maintainable, and extensible. I can confidently add new duck types or behaviors without touching existing code. Personally, I learned that UML isn’t just documentation, it’s a tool that guides better design and code structure.

Resources

While exploring this assignment, I also reviewed a great resource that breaks down the concepts from Head First Design Patterns in a clear and structured way. You can find it here on GitHub. It helped me connect UML representations with real-world code implementations, especially when applying the Strategy Pattern in my Duck Simulator project.

From the blog CS@Worcester – Rick’s Software Journal by RickDjouwe1 and used with permission of the author. All other rights reserved by the author.