Week 7 – 3/7/2025

This week, in my last class we had an activity for Equivalence Class Testing(ECT) under the POGIL activity. For the source of this week, I watched a YouTube video titled “Equivalence Class Testing Explained,” which gives us the essentials about this black-box testing method.

The host of the video defines ECT as a technique for partitioning input data into equivalence classes partitions where inputs are expected to yield similar results. To reduce redundant cases without sacrificing coverage, it is also possible to test one value per class. To demonstrate this reality, the presenter tested a function that takes in integers between 1 and 100. Classes in this example are invalid lower (≤0), invalid upper (≥101), and valid classes (1–100). Boundary value testing, in which values like 0, 1, 100, and 101 are applied to test for common problems in partition boundaries, was also accorded importance in the video.

I chose this video because ECT of the course we took included this topic and I wanted more information about the topic. Reading the course textbook it was difficult to follow. The class activity did make me do this topic, though this clarified it better to me. The video’s visual illustrations and step-by-step discussion clarified the practical application of ECT. The speaker’s observation about maintaining a balance between being thorough and being effective resonated with me, especially after spending hours of writing duplicate test cases for a recent project.

I thought that thorough testing had to test all possible inputs before watching. The video rebutted this by demonstrating how ECT reduces effort without losing effectiveness. I understood that my previous method of testing each edge case individually was not possible. Another fascinating thing was the difference between valid and invalid classes. I had neglected how the system handled wrong data in a previous project, dealing primarily with “correct” inputs. I realize how crucial both testing are for ensuring robustness after watching the demonstration of the video. Henceforth, in the future, I will adopt this approach to my future projects if needed.

My perception regarding testing has changed because of this movie, from a boring activity to a sensible activity. It serves the need of our course directly, i.e., providing efficient, scalable engineering practices. I can create fewer, yet stronger tests with the help of ECT, and that will surely help me as a software programmer. Equivalency class testing is a kit of wiser problem-solving, and I want to keep on practicing it. It’s not theory.

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

 In this post, I’ll be discussing a recent article I came across on the TestRail website, which can be found here. The post interested me because it dives deep into the importance of organizing and managing test cases effectively, a topic that we have been covering closely in class. As someone who does a lot of tests in various stages, this article gave me some good notes about how proper test case management can streamline the testing process and reduce the risk of overlooked issues.

One of the key takeaways from the article was the concept of structuring test cases with clear, concise steps and expected outcomes. This was notable because I’ve often seen situations where poorly written test cases lead to confusion or unnecessary delays. The article emphasized that each test case should be easily understandable, even for someone unfamiliar with the project, which makes a lot of sense. Clear test cases not only make the process smoother for current testers, but they also provide better documentation for future test cycles. I’ve personally benefited from this approach, especially when revisiting a project after some time has passed, well-written test cases make it easier to pick up where I left off, and they can even give hints (though these shouldn’t be needed) as to what the code is intending to do, and where some logical boundaries may exist.

The article also discussed the importance of categorizing test cases based on their purpose—whether they’re functional, regression, or exploratory tests. This structure helps ensure that each test type is executed at the appropriate stage and that nothing gets missed. In my experience, this kind of organization is crucial, particularly for large-scale projects where test cases can easily become scattered. I’ve found that when I categorize my tests according to at least some standard, I’m able to prioritize them better and avoid redundant testing, ultimately saving time and effort. It’s a simple but effective way to maintain focus on what really matters. My personal default is to follow the code chronologically / in the order of execution, as that is what feels most natural to me.

Another point I appreciated was the article’s advice on using test management tools, like TestRail itself, to keep track of test cases, execution results, and bugs. Granted, they are going to try to sell their own software, but it is still notable. Managing test cases manually in a spreadsheet or document can quickly become cumbersome, especially as projects grow, and using a product or software to handle this for you can be very beneficial.

Overall, this article reaffirmed the importance of a well-organized approach to test case management. As I continue testing processes and software, I’ll be more mindful of how I structure, categorize, and track my test cases, ensuring that testing is as efficient and effective as possible.

From the blog Mr. Lancer 987's Blog by Mr. Lancer 987 and used with permission of the author. All other rights reserved by the author.

 In this post, I’ll be discussing a recent article I came across on the TestRail website, which can be found here. The post interested me because it dives deep into the importance of organizing and managing test cases effectively, a topic that we have been covering closely in class. As someone who does a lot of tests in various stages, this article gave me some good notes about how proper test case management can streamline the testing process and reduce the risk of overlooked issues.

One of the key takeaways from the article was the concept of structuring test cases with clear, concise steps and expected outcomes. This was notable because I’ve often seen situations where poorly written test cases lead to confusion or unnecessary delays. The article emphasized that each test case should be easily understandable, even for someone unfamiliar with the project, which makes a lot of sense. Clear test cases not only make the process smoother for current testers, but they also provide better documentation for future test cycles. I’ve personally benefited from this approach, especially when revisiting a project after some time has passed, well-written test cases make it easier to pick up where I left off, and they can even give hints (though these shouldn’t be needed) as to what the code is intending to do, and where some logical boundaries may exist.

The article also discussed the importance of categorizing test cases based on their purpose—whether they’re functional, regression, or exploratory tests. This structure helps ensure that each test type is executed at the appropriate stage and that nothing gets missed. In my experience, this kind of organization is crucial, particularly for large-scale projects where test cases can easily become scattered. I’ve found that when I categorize my tests according to at least some standard, I’m able to prioritize them better and avoid redundant testing, ultimately saving time and effort. It’s a simple but effective way to maintain focus on what really matters. My personal default is to follow the code chronologically / in the order of execution, as that is what feels most natural to me.

Another point I appreciated was the article’s advice on using test management tools, like TestRail itself, to keep track of test cases, execution results, and bugs. Granted, they are going to try to sell their own software, but it is still notable. Managing test cases manually in a spreadsheet or document can quickly become cumbersome, especially as projects grow, and using a product or software to handle this for you can be very beneficial.

Overall, this article reaffirmed the importance of a well-organized approach to test case management. As I continue testing processes and software, I’ll be more mindful of how I structure, categorize, and track my test cases, ensuring that testing is as efficient and effective as possible.

From the blog Mr. Lancer 987's Blog by Mr. Lancer 987 and used with permission of the author. All other rights reserved by the author.

 In this post, I’ll be discussing a recent article I came across on the TestRail website, which can be found here. The post interested me because it dives deep into the importance of organizing and managing test cases effectively, a topic that we have been covering closely in class. As someone who does a lot of tests in various stages, this article gave me some good notes about how proper test case management can streamline the testing process and reduce the risk of overlooked issues.

One of the key takeaways from the article was the concept of structuring test cases with clear, concise steps and expected outcomes. This was notable because I’ve often seen situations where poorly written test cases lead to confusion or unnecessary delays. The article emphasized that each test case should be easily understandable, even for someone unfamiliar with the project, which makes a lot of sense. Clear test cases not only make the process smoother for current testers, but they also provide better documentation for future test cycles. I’ve personally benefited from this approach, especially when revisiting a project after some time has passed, well-written test cases make it easier to pick up where I left off, and they can even give hints (though these shouldn’t be needed) as to what the code is intending to do, and where some logical boundaries may exist.

The article also discussed the importance of categorizing test cases based on their purpose—whether they’re functional, regression, or exploratory tests. This structure helps ensure that each test type is executed at the appropriate stage and that nothing gets missed. In my experience, this kind of organization is crucial, particularly for large-scale projects where test cases can easily become scattered. I’ve found that when I categorize my tests according to at least some standard, I’m able to prioritize them better and avoid redundant testing, ultimately saving time and effort. It’s a simple but effective way to maintain focus on what really matters. My personal default is to follow the code chronologically / in the order of execution, as that is what feels most natural to me.

Another point I appreciated was the article’s advice on using test management tools, like TestRail itself, to keep track of test cases, execution results, and bugs. Granted, they are going to try to sell their own software, but it is still notable. Managing test cases manually in a spreadsheet or document can quickly become cumbersome, especially as projects grow, and using a product or software to handle this for you can be very beneficial.

Overall, this article reaffirmed the importance of a well-organized approach to test case management. As I continue testing processes and software, I’ll be more mindful of how I structure, categorize, and track my test cases, ensuring that testing is as efficient and effective as possible.

From the blog Mr. Lancer 987's Blog by Mr. Lancer 987 and used with permission of the author. All other rights reserved by the author.

 In this post, I’ll be discussing a recent article I came across on the TestRail website, which can be found here. The post interested me because it dives deep into the importance of organizing and managing test cases effectively, a topic that we have been covering closely in class. As someone who does a lot of tests in various stages, this article gave me some good notes about how proper test case management can streamline the testing process and reduce the risk of overlooked issues.

One of the key takeaways from the article was the concept of structuring test cases with clear, concise steps and expected outcomes. This was notable because I’ve often seen situations where poorly written test cases lead to confusion or unnecessary delays. The article emphasized that each test case should be easily understandable, even for someone unfamiliar with the project, which makes a lot of sense. Clear test cases not only make the process smoother for current testers, but they also provide better documentation for future test cycles. I’ve personally benefited from this approach, especially when revisiting a project after some time has passed, well-written test cases make it easier to pick up where I left off, and they can even give hints (though these shouldn’t be needed) as to what the code is intending to do, and where some logical boundaries may exist.

The article also discussed the importance of categorizing test cases based on their purpose—whether they’re functional, regression, or exploratory tests. This structure helps ensure that each test type is executed at the appropriate stage and that nothing gets missed. In my experience, this kind of organization is crucial, particularly for large-scale projects where test cases can easily become scattered. I’ve found that when I categorize my tests according to at least some standard, I’m able to prioritize them better and avoid redundant testing, ultimately saving time and effort. It’s a simple but effective way to maintain focus on what really matters. My personal default is to follow the code chronologically / in the order of execution, as that is what feels most natural to me.

Another point I appreciated was the article’s advice on using test management tools, like TestRail itself, to keep track of test cases, execution results, and bugs. Granted, they are going to try to sell their own software, but it is still notable. Managing test cases manually in a spreadsheet or document can quickly become cumbersome, especially as projects grow, and using a product or software to handle this for you can be very beneficial.

Overall, this article reaffirmed the importance of a well-organized approach to test case management. As I continue testing processes and software, I’ll be more mindful of how I structure, categorize, and track my test cases, ensuring that testing is as efficient and effective as possible.

From the blog Mr. Lancer 987's Blog by Mr. Lancer 987 and used with permission of the author. All other rights reserved by the author.

 In this post, I’ll be discussing a recent article I came across on the TestRail website, which can be found here. The post interested me because it dives deep into the importance of organizing and managing test cases effectively, a topic that we have been covering closely in class. As someone who does a lot of tests in various stages, this article gave me some good notes about how proper test case management can streamline the testing process and reduce the risk of overlooked issues.

One of the key takeaways from the article was the concept of structuring test cases with clear, concise steps and expected outcomes. This was notable because I’ve often seen situations where poorly written test cases lead to confusion or unnecessary delays. The article emphasized that each test case should be easily understandable, even for someone unfamiliar with the project, which makes a lot of sense. Clear test cases not only make the process smoother for current testers, but they also provide better documentation for future test cycles. I’ve personally benefited from this approach, especially when revisiting a project after some time has passed, well-written test cases make it easier to pick up where I left off, and they can even give hints (though these shouldn’t be needed) as to what the code is intending to do, and where some logical boundaries may exist.

The article also discussed the importance of categorizing test cases based on their purpose—whether they’re functional, regression, or exploratory tests. This structure helps ensure that each test type is executed at the appropriate stage and that nothing gets missed. In my experience, this kind of organization is crucial, particularly for large-scale projects where test cases can easily become scattered. I’ve found that when I categorize my tests according to at least some standard, I’m able to prioritize them better and avoid redundant testing, ultimately saving time and effort. It’s a simple but effective way to maintain focus on what really matters. My personal default is to follow the code chronologically / in the order of execution, as that is what feels most natural to me.

Another point I appreciated was the article’s advice on using test management tools, like TestRail itself, to keep track of test cases, execution results, and bugs. Granted, they are going to try to sell their own software, but it is still notable. Managing test cases manually in a spreadsheet or document can quickly become cumbersome, especially as projects grow, and using a product or software to handle this for you can be very beneficial.

Overall, this article reaffirmed the importance of a well-organized approach to test case management. As I continue testing processes and software, I’ll be more mindful of how I structure, categorize, and track my test cases, ensuring that testing is as efficient and effective as possible.

From the blog Mr. Lancer 987's Blog by Mr. Lancer 987 and used with permission of the author. All other rights reserved by the author.

 In this post, I’ll be discussing a recent article I came across on the TestRail website, which can be found here. The post interested me because it dives deep into the importance of organizing and managing test cases effectively, a topic that we have been covering closely in class. As someone who does a lot of tests in various stages, this article gave me some good notes about how proper test case management can streamline the testing process and reduce the risk of overlooked issues.

One of the key takeaways from the article was the concept of structuring test cases with clear, concise steps and expected outcomes. This was notable because I’ve often seen situations where poorly written test cases lead to confusion or unnecessary delays. The article emphasized that each test case should be easily understandable, even for someone unfamiliar with the project, which makes a lot of sense. Clear test cases not only make the process smoother for current testers, but they also provide better documentation for future test cycles. I’ve personally benefited from this approach, especially when revisiting a project after some time has passed, well-written test cases make it easier to pick up where I left off, and they can even give hints (though these shouldn’t be needed) as to what the code is intending to do, and where some logical boundaries may exist.

The article also discussed the importance of categorizing test cases based on their purpose—whether they’re functional, regression, or exploratory tests. This structure helps ensure that each test type is executed at the appropriate stage and that nothing gets missed. In my experience, this kind of organization is crucial, particularly for large-scale projects where test cases can easily become scattered. I’ve found that when I categorize my tests according to at least some standard, I’m able to prioritize them better and avoid redundant testing, ultimately saving time and effort. It’s a simple but effective way to maintain focus on what really matters. My personal default is to follow the code chronologically / in the order of execution, as that is what feels most natural to me.

Another point I appreciated was the article’s advice on using test management tools, like TestRail itself, to keep track of test cases, execution results, and bugs. Granted, they are going to try to sell their own software, but it is still notable. Managing test cases manually in a spreadsheet or document can quickly become cumbersome, especially as projects grow, and using a product or software to handle this for you can be very beneficial.

Overall, this article reaffirmed the importance of a well-organized approach to test case management. As I continue testing processes and software, I’ll be more mindful of how I structure, categorize, and track my test cases, ensuring that testing is as efficient and effective as possible.

From the blog Mr. Lancer 987's Blog by Mr. Lancer 987 and used with permission of the author. All other rights reserved by the author.

 In this post, I’ll be discussing a recent article I came across on the TestRail website, which can be found here. The post interested me because it dives deep into the importance of organizing and managing test cases effectively, a topic that we have been covering closely in class. As someone who does a lot of tests in various stages, this article gave me some good notes about how proper test case management can streamline the testing process and reduce the risk of overlooked issues.

One of the key takeaways from the article was the concept of structuring test cases with clear, concise steps and expected outcomes. This was notable because I’ve often seen situations where poorly written test cases lead to confusion or unnecessary delays. The article emphasized that each test case should be easily understandable, even for someone unfamiliar with the project, which makes a lot of sense. Clear test cases not only make the process smoother for current testers, but they also provide better documentation for future test cycles. I’ve personally benefited from this approach, especially when revisiting a project after some time has passed, well-written test cases make it easier to pick up where I left off, and they can even give hints (though these shouldn’t be needed) as to what the code is intending to do, and where some logical boundaries may exist.

The article also discussed the importance of categorizing test cases based on their purpose—whether they’re functional, regression, or exploratory tests. This structure helps ensure that each test type is executed at the appropriate stage and that nothing gets missed. In my experience, this kind of organization is crucial, particularly for large-scale projects where test cases can easily become scattered. I’ve found that when I categorize my tests according to at least some standard, I’m able to prioritize them better and avoid redundant testing, ultimately saving time and effort. It’s a simple but effective way to maintain focus on what really matters. My personal default is to follow the code chronologically / in the order of execution, as that is what feels most natural to me.

Another point I appreciated was the article’s advice on using test management tools, like TestRail itself, to keep track of test cases, execution results, and bugs. Granted, they are going to try to sell their own software, but it is still notable. Managing test cases manually in a spreadsheet or document can quickly become cumbersome, especially as projects grow, and using a product or software to handle this for you can be very beneficial.

Overall, this article reaffirmed the importance of a well-organized approach to test case management. As I continue testing processes and software, I’ll be more mindful of how I structure, categorize, and track my test cases, ensuring that testing is as efficient and effective as possible.

From the blog Mr. Lancer 987's Blog by Mr. Lancer 987 and used with permission of the author. All other rights reserved by the author.

 In this post, I’ll be discussing a recent article I came across on the TestRail website, which can be found here. The post interested me because it dives deep into the importance of organizing and managing test cases effectively, a topic that we have been covering closely in class. As someone who does a lot of tests in various stages, this article gave me some good notes about how proper test case management can streamline the testing process and reduce the risk of overlooked issues.

One of the key takeaways from the article was the concept of structuring test cases with clear, concise steps and expected outcomes. This was notable because I’ve often seen situations where poorly written test cases lead to confusion or unnecessary delays. The article emphasized that each test case should be easily understandable, even for someone unfamiliar with the project, which makes a lot of sense. Clear test cases not only make the process smoother for current testers, but they also provide better documentation for future test cycles. I’ve personally benefited from this approach, especially when revisiting a project after some time has passed, well-written test cases make it easier to pick up where I left off, and they can even give hints (though these shouldn’t be needed) as to what the code is intending to do, and where some logical boundaries may exist.

The article also discussed the importance of categorizing test cases based on their purpose—whether they’re functional, regression, or exploratory tests. This structure helps ensure that each test type is executed at the appropriate stage and that nothing gets missed. In my experience, this kind of organization is crucial, particularly for large-scale projects where test cases can easily become scattered. I’ve found that when I categorize my tests according to at least some standard, I’m able to prioritize them better and avoid redundant testing, ultimately saving time and effort. It’s a simple but effective way to maintain focus on what really matters. My personal default is to follow the code chronologically / in the order of execution, as that is what feels most natural to me.

Another point I appreciated was the article’s advice on using test management tools, like TestRail itself, to keep track of test cases, execution results, and bugs. Granted, they are going to try to sell their own software, but it is still notable. Managing test cases manually in a spreadsheet or document can quickly become cumbersome, especially as projects grow, and using a product or software to handle this for you can be very beneficial.

Overall, this article reaffirmed the importance of a well-organized approach to test case management. As I continue testing processes and software, I’ll be more mindful of how I structure, categorize, and track my test cases, ensuring that testing is as efficient and effective as possible.

From the blog Mr. Lancer 987's Blog by Mr. Lancer 987 and used with permission of the author. All other rights reserved by the author.