Before I dive into my final installment of this CS series (for now), I wanted to say thank you if you actually read any of these posts and thank you to my new followers for dealing with the notifications you must have gotten.
For this last post, I wanted to discuss the article 5 Reasons You Are Wasting Your Testing Time by Joel Montvelisky. The author expresses how everyone can do testing but not everyone can do “good testing,” which incorporates more than just what is basic checking.
A short list of main reasons why a lot of people tend to waste time that could have been spent testing other things includes:
- Not having clear goals
- Not understanding what or how much the feature means to your End User
- Not keeping track of what was tested and potential discoveries
- Not consulting what you already know or using references
- Not giving feedback that could be shared to help others
I agree with most of what Montvelisky says as I have personally noticed what has happened from my experience as a Software Quality Assurance Intern when any of the five things above took place based on a task. It is important to understand that sometimes these things may be out of your control but you should still try your best to avoid miscommunication wherever possible.
Montvelisky’s content has not necessarily changed the way I will work as I have already been consciously making an effort to understand what I am reviewing, how stuff is meant to work, logging tasks, connecting tasks to previous occurrences, and communicating with the QA team. If I had read this article before I started working, it would have been more useful as it would serve as a foundation to how one should think of testing beyond the basic functionalities.
Something I wanted to emphasize is the post-test reviews and feedback sessions with peers. I found that if someone else needed to learn about a project or a task had to be communicated with a client, logging any kinds of notes or information was better than not having anything prepared to discuss. They do not necessarily have to be posted for everyone to access but it would be good to note it in any sort of text editor for future reference. I think an example of when to note things is if you found something that does not prevent your current task from being approved but it still affects something for the overall program.
Overall, when testing things I believe you should trust your instincts on reporting things you find. It helps when you try to imagine how much it could affect a program in the long run if not brought to someone’s attention, even if it may seem minimal.
Best of Luck,
As my last fall semester comes to a close, I wanted to write about an article on something pretty interesting I learned about in my software construction and design course.
On Stackify, Thorben Janssen wrote Design Patterns Explained–Adapter Pattern (with code examples). Overall, this article re-instilled how design patterns make it easier to write more well-structured and maintainable code.
I found it useful to see how Janssen discussed the two different versions of the class adapter; the class adapter pattern (which implements the adapter using inheritance) and the object adapter pattern (which uses composition to reference an instance of the wrapped class within it).
Similar to how we learned the concept in class, something I appreciated is the “real-life” example or comparison used to describe the physical adapters we use when traveling. When we are traveling and do not have compatible power sockets, we must find a way to be able to charge our use our devices without having to change the whole make of it. A way of doing so is by using adapters; which does not change the overall product or device, it just allows you to be able to plug it in.
An situational example that I can think of when explaining adapters is if you have ever been zip-lining or done a ropes course (like Go Ape) where you are attached to a harness. When you are transferring from one line to another, you can use a metal contraption which helps guide you while connecting and disconnecting from paths. That metal contraption serves as an adapter, not changing what you are but allowing you to use something.
I agree with what message Janssen is trying to express about how great design patterns are (the adapter pattern specifically) when it comes to writing code. His content allowed me to think about real life situations in code form when he introduced the basic and premium coffee machines to brew coffee using the adapter pattern. One of the best ways of learning concepts, in my opinion, is to compare it to a real-life situation and then show people visualizations to help them better understand what you are trying to explain and the article did both.
Testing, testing. I may need your approval on this article I read by Software Testing Magazine on Approval Testing. Approval testing, as defined by this article, is a way of software testing that results in presenting the before and after of an application for a user (ex: software development team) to review it and potentially approve it. It’s more of a visual representation of testing and one of the major cons is how the results have to be checked manually.
Some testing tools mentioned include: Approval Tests, TextTest, Jest, Recheck, Automated Screenshot Diff, Depicted (dpxdt), and etc.
The main purpose of the software testing tool, using TextTest for example, is checking that the text output after running program from the command line in different ways.
What I found interesting is how a user can see that a test technically could have “passed” or “failed” but still decide to mark it as the other because they choose what feature they are looking for in the end. This makes it a little more flexible to use approval testing as it is more of a guide or guideline for a user instead of only seeing one word and then a short description of what could have gone wrong. I think this process is much more transparent or descriptive with a user about what could have gone wrong or what went right.
One way the content has changed how I will think about the testing is how there are so many more types of software or programs out there than we can imagine which help us better code or create our own software and programs. This one is especially good for visual coders and testers who like to see their results firsthand to compare what they are expecting with what they actually got.
Overall, I found this article was useful because it introduced me to thinking about a better way of logging the differences between what the reference result is versus the actual result. I did not disagree with any of it since it showed us how we can use approval testing to our advantage while still being honest about its limitations.
When using architecture patterns, how will you know which one to choose? Peter Wayner, an independent author for TechBeacon takes five architectures that the majority of programs today use and broke them down into their strengths and weaknesses. Through this, it seems like he is hoping to guide users to selecting the most effective software architecture pattern for their needs.
If this article does not clear up enough information, Wayner also brings up a book, Software Architecture Patterns by Mark Richards, which focuses further on architectures commonly used to organize software systems.
The fives types discussed in the article are:
- Layered (n-tier) architecture
- Event-driven architecture
- Microkernel architecture
- Microservices architecture
- Space-based architecture
The one I found most interesting is space-based architecture because at first when I thought of space, I was thinking of the other kind. The one with the sun and the stars and the moon. But then I realized–what does that have anything to do with software architecture? Space-based architecture is listed as “best for high-volume data like click streams and user logs” and I think this one is pretty important, especially during times like Black Friday and Cyber Monday. I personally experienced the frustration of not being able to access a site (adidas) due to high volume and it really does not help a business.
Another architecture I found thought-provoking is micro-services architecture because of the way Wayner introduced the concept, “[s]oftware can be like a baby elephant: It is cute and fun when it’s little, but once it gets big, it is difficult to steer and resistant to change.” The author providing an example of this made me think about how a site with so many users and things happening at once actually just had many different separate services but they were put together as one. I was a little surprised to think of Netflix in that way after all the times I’ve used it but it makes much more sense now.
Overall, I found all of the information pretty useful and clear to understand as Wayner described what they were and then listed the caveats and what they were best for. I would recommend using this as a reference or quick review of common software architecture designs if someone needs it.
There are lots of “rules” we must follow in object-oriented software development and the article The Genius of the Law of Demeter by Javadevguy summarizes how they are useful. From what I put together, it seems like the Law of Demeter took abstract concepts and basically put them into a universal set of rules for Object-Oriented code.
I thought that the law of demeter must be a big deal if someone decided to sit down and write a lengthy blog post about it. This content ended up being interesting as it tried to convince readers why they should obey this “law.” The Law of Demeter basically paves the way for what users can do to a given method. It is kind of like considering the restrictions or possibilities based on the method. One of the takeaways I got from this is how there is a lot of focus on communication between two objects.
The rules listed in the article are as follows–noting that it says “For all classes C, and for all methods M attached to C, all objects to which M sends a message must be”:
this in Java)
- M’s argument objects
- Instance variable objects of C
- Objects created by M, or by functions or methods which M calls
- Objects in global variables (
static fields in Java)
Another useful takeaway I got from this article came from observing the code examples Javadevguy included; how Rule #1 covers that any method can be called on the current object. I also noted when there would be an instance where the law would prohibit something is not “sending a message” to any already existing object that is held in instance variables of other classes.
This will affect the way I continue to do work as an Object-Oriented developer. I mean, in life when you learn there is a more useful or structured way to help you achieve more effective results, you would want to try or follow it, right? For my future use, I will acknowledge (like other blogs and articles) that the Law of Demeter is less of a law and only a suggestion or a guideline.
Overall, I would say that the content has helped further solidified my understanding of some Object-Oriented coding concepts. I agree with the content as it is trying to help people become better developers or better understand the Law of Demeter in general.