Understanding Scrum: A Framework for Team Success

Scrum, a popular framework for managing complex projects, has transformed the way teams collaborate to deliver value. I explored this in-depth explanation through an article I found on Scrum.org. This provided a clear overview of the principles, offering how Scrum facilitates productivity and adaptability in many different environments.

A Quick Summary

The article breaks down Scrum as a “framework” designed to help teams address complex problems while delivering high-value results. Originating from Agile principles, Scrum relies on time-boxed iterations called Sprints, typically lasting two to four weeks, where teams focus on completing a specific set of tasks. Key roles in Scrum include the Product Owner, who prioritizes work; the Scrum Master, who ensures the process runs smoothly; and the Development Team, which executes the tasks.

Scrum also emphasizes artifacts like the Product Backlog and Sprint Backlog, which guide work priorities and task distribution. Regular ceremonies such as Sprint Planning, Daily Standups, Sprint Reviews, and Retrospectives foster transparency and continuous improvement.

Why I Chose This Resource

We learned this in class and I think it is a good refresher to read. In the world of of software development, I often think of projects where collaboration and adaptability are required. Scrum is a cornerstone of Agile development, making it a vital topic to understand for both academic projects and industry roles. This article stood out for its clarity, structured explanation, and relevance to course concepts, particularly software design and project management.

Reflections

The article reinforced the value of frameworks in managing stressful development cycles. I was interested by the emphasis on teamwork and iterative progress. While individual accountability is important, Scrum places significant focus on collaboration, encouraging team members to engage in problem-solving and decision-making collectively.

A key takeaway for me was the importance of transparency, which Scrum achieves through its artifacts and ceremonies. For example, the Daily Standup ensures that every team member is aligned, minimizing the risk of miscommunication, something I can apply to my group projects in the future.

What I plan to use

In future group projects, I aim to incorporate elements of Scrum, such as structured meetings and task prioritization using a backlog. For example, if I do have a software development project, I plan to propose implementing a Sprint-like system where my team can review progress and adjust objectives weekly. Long term, understanding Scrum positions me better for internships and career roles where Agile methodologies are prevalent.

This article not only described what Scrum is but for me also underscored its practical applications, affirming its relevance to professional sides.

From the blog CS@Worcester – function & form by Nathan Bui and used with permission of the author. All other rights reserved by the author.

Modern web applications are built on top of REST APIs, which provide the essential connection between the client and the server. This week, I discovered a blog called “Best Practices for REST API Design” by John Au-Yeung and Ryan Donovan which outlines important techniques for developing secure, performant, and user-friendly APIs. Because JSON is widely accepted and lightweight, it promotes its use as the standard data format. While HTTP methods like GET, POST, PUT, and DELETE determine the action, logical endpoint architectures that rely on nouns rather than verbs are crucial for clarity. Although it improves readability, resources should be kept simple to prevent complexity.

The blog discusses how to handle problems politely by giving easily comprehensible error messages to facilitate debugging and employing relevant HTTP status codes (e.g., 400 for Bad Request, 404 for Not Found). It also highlights the need of using query parameters for pagination, sorting, and filtering when handling big datasets. For protecting APIs, security measures including role-based access control, SSL/TLS encryption, and the least privilege principle are essential. Although caching is emphasized as a way to improve performance, developers should make sure it doesn’t produce stale data. Lastly, it is advised to version APIs, frequently using prefixes like /v1/, in order to guarantee backward compatibility and permit incremental enhancements.

Since we’ve been learning about REST API design in class, I chose to read a blog about it in order to gain a deeper understanding of best practices. In addition to explaining each essential aspect of REST API design, such as JSON usage, appropriate endpoint naming, error handling, security, caching, and versioning, I selected this blog because it also provides code blocks as examples, which helped readers understand and visualize the concepts more clearly.

What caught my attention the most was the part about using logical nesting for endpoints. It described how APIs are made easier to use and comprehend by grouping relevant endpoints. It also made the point that endpoints shouldn’t replicate the database’s structure. This increases the security of the API by shielding private data from attackers. I became more aware of how endpoint design may affect security and usability after reading this. This demonstrated the significance of properly planning endpoint architectures.

This article impacted my perspective on API design by emphasizing the necessity of striking a balance between usability and simplicity. I want to use these ideas in future projects by making solid security procedures, efficient error handling, and well-defined endpoint structures top priority. By using the strategies covered in this blog, I intend to create APIs that are effective and simple for developers to use, guaranteeing that they can be maintained and offer a satisfying user experience throughout time.

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.

Similar to SOLID, GRASP is an acronym for a set of design principles used in object-oriented programming to clearly define responsibilities within a software system. GRASP stands for General Responsibility Assignment Software Patterns, and focuses on 9 different patterns or principles. A blog on kamilgrzybek.com called “Grasp – General Responsibility Assignment Software Patterns Explained” does a really good job at explaining all nine of the different patterns, as well as gives helpful examples of each. According to the article, “GRASP is a set of exactly 9 General Responsibility Assignment Software Patterns. As I wrote above assignment of object responsibilities is one of the key skill of OOD. Every programmer and designer should be familiar with these patterns and what is more important – know how to apply them in every day work (by the way – the same assumptions should apply to SOLID principles.” This quote shows that the GRASP principles are just as important to know as the SOLID principles. I think that everyone should learn the GRASP principles alongside the SOLID principles, and I plan on trying to use them in the future.

The nine principles consist of the following:

Controller
Creator
High Cohesion
Indirection
Information Expert
Low Coupling
Polymorphism
Protected Variations
Pure Fabrication

Controller tends to represent the device that the software is running within, such as the overall system. It also represents a use case scenario within the system operation occurs. Controller depends on high level design of the system being used, but generally we need to define the object which orchestrates the business transaction before it is processed.

Creator is a hard principle to explain. I think the example that the article gave is helpful. “Problem: Who creates object A? Solution: Assign class B the responsibility to create object A if one of these is true (more is better): B contains or compositely aggregates A, B records A, B closely uses A, B has the initializing data for A.”

High cohesion is how well the elements in a class work together. If a class has low cohesion, then it has a lot of unrelated data or behaviors inside of it. Classes with high cohesion, meaning it has data and behaviors that are all related to each other, are a lot more efficient.

Indirection avoids direct coupling between two or more things and allows an intermediate object to mediate other components.

Information expert assigns a class the responsibility of holding all of the information needed to fulfill the object and its needs.

Low coupling is when objects are more independent and isolated, rather than being completely dependent on other parts of the system. This helps reduce the risk of breaking the system.

Polymorphism is an essential principle of OOD. It allows different types of objects to be treated as a single type.

Protected variations identify points of predicted instability and assign responsibilities in order to create a stable interface around them.

Pure fabrication assigns a highly cohesive set of responsibilities to an artificial class that doesn’t represent a problem domain concept when you don’t want to violate high cohesion and low coupling.

Link: https://www.kamilgrzybek.com/blog/posts/grasp-explained

From the blog CS@Worcester – One pixel at a time by gizmo10203 and used with permission of the author. All other rights reserved by the author.

Throughout the year we have used REST API in class more and more. Through the microservices kit activities I found more interest in the use of REST API. I sought out more information on them to expand my knowledge through an article on REST APIs. The article I found is REST APIs: How They Work and What You Need to Know by Jamie Juviler

The article begins by explaining the importance of REST APIs. They are a widely used framework that allows applications to communicate over the web by following a set of design principles. The article explains it is used to enable data sharing and integrations between systems, allowing software to interact with external services, improving functionality and user experience. The article continues by explaining how they work. By allowing clients to make requests to a server for resources, the server then responds with the current state of the requested resource, usually in a standard format like JSON. The API can also allow clients to modify or add resources on the server. The article explains there are six key principles to know:

1. Client-Server Separation: REST APIs separate the client and server, meaning that the client can interact with the server without needing to know how the server works internally.
2. Uniform Interface: RESTful APIs require a standardized way of interacting, usually through these HTTP methods: GET: Retrieve data. POST: Create new data. DELETE: Delete data. PUT: Update existing data.
3. Stateless: Each request to the server is independent and must contain all the information necessary for the server to fulfill the request.
4. Layered System: In a REST API, there can be intermediary layers (e.g., security layers, load balancers, or caching layers) between the client and the server. These layers should not impact the client-server communication and should be transparent to the client.
5. Cacheable: Responses from the server may be cacheable, meaning that the client can store the data locally and avoid repeated requests for the same resource.
6. Code on Demand (Optional): This optional feature allows servers to send executable code (like JavaScript) to the client, enabling the client to execute this code locally.

The article then explains the benefits of REST APIs, which include flexibility, scalability, interoperability, simplicity, and cost-effectiveness. Juviler then explains how to set up REST APIs with an admin and the article concludes with some examples of the use of REST APIs. 

Rest API has become something very important in class and because of recent assignments I wanted to learn more. Through this blog I understand REST more thoroughly, and the reasons for using it. I understand its feasibility and use for microservices back-end architecture as seen in Thea’s Pantry.

Source:

https://blog.hubspot.com/website/what-is-rest-api

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.

After understanding the team aspects of software development, I wanted to shift focus to the tools at a team’s disposal. In conjunction with version control software, development environments become among the most important tools at a tem’s disposal. In projects outside of class I am working closely with docker, and we briefly utilized it to prepare for CS-448 capstone. I wanted to spend more time learning about these development environments. To do so I found an article on the basics of understanding Docker. The article’s title is In-depth Docker by Walter Code

This blog post begins by outlining what it contains. The article expands on configuration management, Docker’s technical components, and Dockerfile commands. Walter explains that configuration management builds on Docker’s layered image management, which addresses issues with traditional “golden image” models that often lead to unmanageable images. Docker’s approach allows for faster iteration and better flexibility. The article continues to highlight some key technical components such as isolation of filesystems, processes, and networks, and resource management via cgroups. Docker is extremely flexible and can run on any x64 host with a modern Linux kernel, and is compatible with OS X and Windows via virtual machines. The post also introduces Docker’s user interfaces, such as Shipyard, Portainer, and Kitematic, which help with container management. Walter also touches on essential Dockerfile commands, like ADD, CMD, and RUN, which are covered to help users configure containers. The article wraps up by discussing Docker’s filesystem layers that allow changes to be applied to a writable layer while keeping underlying read-only layers intact. Additionally, Docker Compose enables users to manage multi-container application stacks, while Docker Swarm helps scale workloads across container clusters. The post finishes by highlighting Docker’s simplicity, security, and rapid deployment, making it a compelling tool for developers, with more practical examples to follow in future posts.

This article helped me better understand how Docker can be essential for teams. It also provided me with more knowledge to aid me in my personal projects that utilize docker. This is a key step for me in understanding how best to work with a team with these tools. What I found most helpful was an explanation of how Docker’s configuration management could be used, and why docker compose is so useful. Next in my blog I will cover more strategies or tools to help me better function in a team for software development. 

Source:https://waltercode.medium.com/in-depth-docker-faa0c4dd9a63

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.

This week I wanted to blog about Rest API. The repository that we have been working on in class has a decently large backend that uses a wide variety of methods to act as a good example and introduction of Rest API. I wanted to look into it and try to find more examples to look at and get a better understanding by looking at implementations that either had a different format or was used for different purposes. While looking I found a blog that detailed the documentation that developers have made a standard to put with code that aids in understanding.

The article starts off with some common mistakes that can really decrease the effectiveness of your documentation such as not enough examples, the lack of English explanations, and unmaintained documentation. As aspect that the article touches upon is that the documentation should be written to be understood by entry level developers, which makes sense as your implementation shouldn’t be opaque to the users. The article provides a survey taken by web developers that ranked the most desired features of API documentation, and ranks examples, status, and error messages in the top five. This makes sense as these are some of the things that contribute most to being able to understand already existing code. Spec-driven development is also explained here and talks about using software like Swagger to keep track of and simplify your code to easily understand how the program uses the data. The blog also puts emphasis on the industry standards that should be used, and it goes a long way to help users get a grasp of new code when they start to look at new projects.

This post was helpful in understanding how to read other repositories of API, especially as it was written in the form of the writer’s or maintainer’s point of view. Although I have not yet and don’t plan to yet, write and document an API designed by myself, this write-up was equally descriptive for explaining how to read the documentation. I think that this is an extremely useful skill to have because, like in our class assignments, we won’t always be designing something from the ground up and so we need to understand what is already there. The web page had lots of pictures to illustrate the point they were making and to provide examples. It always helps to learn more of these industry standards to be better prepared for real world or out of classroom applications and strengthen your skills as a programmer.

Original Blog Post – How to Write API Documentation

From the blog CS@Worcester – Computer Science Blog by dzona1 and used with permission of the author. All other rights reserved by the author.

The
article examines the question, “is clean code by Robert Martin still matters?” From
author’s 16-year coding experience, he writes about reality in writing clean
code and its criticism. He acknowledges that t in the end meeting the deadline
with functional and bug free code is more important then elegant code following
the principle of clean code. However, he argues in the end as a developer,
trying to integrate small aspects of clean code into your code base is going to
make your skill improve as an engineer in the long run even if many people will
not care about it.

I selected this
article as it addresses some uncertainty that I had with clean code. All the
code I have written feels like I got pressure to deliver functional code as
quickly as possible and now I’m supposed to write elegant, maintainable code so
I wanted to see the real live example from experience if clean code was that necessary.
The author’s real-world experience and practical approach toward the subject made
it an interesting topic to delve into deeper.

This article showed
that clean code is not something you have to write all the thing following to
it, it is about finding the right balance between quality code following the
clean code and functional code. I feel like clean code still matters in a bit
as we want to write a code in time but needs to make it modular to be abled to be
easily refactored for later uses. Not only that, this article advice to start
small feels realistic and something I can do to grow as a programmer.  The hierarchy of what matters in the software
part will be my checklist in the future as it is the basic outline of how the
code needs to be structured. When writing code, the working code always comes first,
then make it without bug and if there is bug, you should be able to be fixed
easily then I will try to add instance of small parts of clean code in. I want
to make the code a bit modular because I spent hours trying to refactor code sometimes
and finding which part of the code went wrong took a long time because my code
was always a mess. Therefore, I feel like idea of clean code by Robert martin
is not dead but only small part of it is still alive to become better
programmer. As the most important thing for programming is to make software
that is easy to maintain, adapt and scale.

Article
link : https://tommcfarlin.com/who-cares-about-clean-code/

From the blog Sung Jin's CS Devlopemnt Blog by Unknown and used with permission of the author. All other rights reserved by the author.

The
article examines the question, “is clean code by Robert Martin still matters?” From
author’s 16-year coding experience, he writes about reality in writing clean
code and its criticism. He acknowledges that t in the end meeting the deadline
with functional and bug free code is more important then elegant code following
the principle of clean code. However, he argues in the end as a developer,
trying to integrate small aspects of clean code into your code base is going to
make your skill improve as an engineer in the long run even if many people will
not care about it.

I selected this
article as it addresses some uncertainty that I had with clean code. All the
code I have written feels like I got pressure to deliver functional code as
quickly as possible and now I’m supposed to write elegant, maintainable code so
I wanted to see the real live example from experience if clean code was that necessary.
The author’s real-world experience and practical approach toward the subject made
it an interesting topic to delve into deeper.

This article showed
that clean code is not something you have to write all the thing following to
it, it is about finding the right balance between quality code following the
clean code and functional code. I feel like clean code still matters in a bit
as we want to write a code in time but needs to make it modular to be abled to be
easily refactored for later uses. Not only that, this article advice to start
small feels realistic and something I can do to grow as a programmer.  The hierarchy of what matters in the software
part will be my checklist in the future as it is the basic outline of how the
code needs to be structured. When writing code, the working code always comes first,
then make it without bug and if there is bug, you should be able to be fixed
easily then I will try to add instance of small parts of clean code in. I want
to make the code a bit modular because I spent hours trying to refactor code sometimes
and finding which part of the code went wrong took a long time because my code
was always a mess. Therefore, I feel like idea of clean code by Robert martin
is not dead but only small part of it is still alive to become better
programmer. As the most important thing for programming is to make software
that is easy to maintain, adapt and scale.

Article
link : https://tommcfarlin.com/who-cares-about-clean-code/

From the blog Sung Jin's CS Devlopemnt Blog by Unknown and used with permission of the author. All other rights reserved by the author.

The
article examines the question, “is clean code by Robert Martin still matters?” From
author’s 16-year coding experience, he writes about reality in writing clean
code and its criticism. He acknowledges that t in the end meeting the deadline
with functional and bug free code is more important then elegant code following
the principle of clean code. However, he argues in the end as a developer,
trying to integrate small aspects of clean code into your code base is going to
make your skill improve as an engineer in the long run even if many people will
not care about it.

I selected this
article as it addresses some uncertainty that I had with clean code. All the
code I have written feels like I got pressure to deliver functional code as
quickly as possible and now I’m supposed to write elegant, maintainable code so
I wanted to see the real live example from experience if clean code was that necessary.
The author’s real-world experience and practical approach toward the subject made
it an interesting topic to delve into deeper.

This article showed
that clean code is not something you have to write all the thing following to
it, it is about finding the right balance between quality code following the
clean code and functional code. I feel like clean code still matters in a bit
as we want to write a code in time but needs to make it modular to be abled to be
easily refactored for later uses. Not only that, this article advice to start
small feels realistic and something I can do to grow as a programmer.  The hierarchy of what matters in the software
part will be my checklist in the future as it is the basic outline of how the
code needs to be structured. When writing code, the working code always comes first,
then make it without bug and if there is bug, you should be able to be fixed
easily then I will try to add instance of small parts of clean code in. I want
to make the code a bit modular because I spent hours trying to refactor code sometimes
and finding which part of the code went wrong took a long time because my code
was always a mess. Therefore, I feel like idea of clean code by Robert martin
is not dead but only small part of it is still alive to become better
programmer. As the most important thing for programming is to make software
that is easy to maintain, adapt and scale.

Article
link : https://tommcfarlin.com/who-cares-about-clean-code/

From the blog Sung Jin's CS Devlopemnt Blog by Unknown and used with permission of the author. All other rights reserved by the author.