Category Archives: Week 13

Data Flow Testing

Finally, for this week I decided to write about Data Flow Testing. I found a blog site called Ques10 and there was a question about what is data flow testing. The blogger Ramnarth ansered the question by explaining what Data Flow Testing is. Data Flow Testing is a test that tells us that a programmer can perform a number of test on data values which are collectively known as data flow testing. With data flow testing it can be performed at two levels static and dynamic. Static testing is performed by analyzing the source code and doesn’t involve in running the source code. It is performed to reveal potential problems in the programs which are also known as a data flow anomaly.  And with dynamic testing it looks at the path of the program from the source code and with this you would draw a data flow graph of the program select a critical testing area, then identify the paths in that data flow and test the derive inputs. He talks about how testing critical section on the data flow chart by breaking it down into paths and tests such as how we did it in class. Were we would look at the DU-Paths and look at all the edges and nodes to see if they make sense. I like this blog because it does involve some of the things that we did in class such as DU-Path testing, edges, and node testing. I like that the things I learned in class is also reflected into real life things we can do. I think data flow testing is just something we could be doing because it is just a bunch of tests that you run through so that way you do multiple test at the same time.



From the blog CS@Worcester – The Road of CS by Henry_Tang_blog and used with permission of the author. All other rights reserved by the author.

Don’t Repeat Yourself (DRY)


For my last week I decided to write about Don’t Repeat Yourself design principle. I found a blog called dotnetcodr and there was this blog about (DRY) written by Andras Nemes where he talks about (DRY). The idea behind (DRY) is that you should not add repetition of logic in multiple places in the code. He talks about the motto that you should be following “Repetition is the root of all software evil.” Repetition does not just refer to writing the same piece of logic in two different places but also the repetition testing, debugging, deployment, ect.

He then gives an example of repetition where he writes out the person and then where the live as well. In this code he hard codes everyone’s name and address. This way it is a very good example of reputation because since he is just copy and pasting whenever he would need to add or remove a person or address he would have to go back into the code and manually change it himself.

I found this blog to be very informative because it is very true you do not want to repeat yourself and the logic of a certain code in multiple places and multiple times. There are times where I do this a lot because I find it much easier to repeat the code since it is going to be the same every time I want to call something. I think the thing I get out of this the most is that I will start to try and not repeat myself when writing code. Also I can use this for future knowledge when I do write things that do call things multiple times and like it shows in the blog we can make stings that have getter and setters that would make a 40 line code down to a 10 line code which would save much more space and time as well.

From the blog CS@Worcester – The Road of CS by Henry_Tang_blog and used with permission of the author. All other rights reserved by the author.

Best Software Engineering Practices

As my final semester approaches here at Worcester State University, I figured a relatable blog topic would be the best practices you can learn as a Software Engineer. The article can be found here:


This article touches upon three different practices that the author thought highly enough to include. The three practices are S.O.L.I.D., Automated Unit Testing, and continuous integration.

S.O.L.I.D. –  an acronym for an object oriented design principle.

S –  Single Responsibility –  a class should have only a single responsibility.

O – Open/Closed Principle – Software should be open for extension, but closed for modification.

L- Liskov substitution principle – objects in a program should be replaceable with instances of their subtypes without altering the correctness of that program.

I- Interface Segregation Principle – Many client-specific interfaces are better than one general-purpose interface.

D- Dependency inversion principle – One should depend upon abstractions, not concretions.

When you use all of these principle together, a developer can create code that is much easier to maintain and improve over time. The code is SOLID.


Automated Unit Testing

Automated unit testing is a software development and testing approach where you independently test units to ensure that they are operating correctly.  Unit testing can be done manually and it was in the past, but automation has taken over and everyone is thankful for that.

I use JUnit in eclipse to test java programs continuously. It makes it very easy to track where there is an error and what caused it to happen.

Developers become much more confident in their work when they don’t have to worry about wasting a bunch of time finding errors, instead we test immediately and fix the problem before it gets too clustered.


Continuous Integration

Continuous Integration quite literally means that you continuously ingrate the code and fixing issues before they are submitted to the actual project repository. In my classes we used Github or GitLab to manage repositories.

It works by a developer checking new code submissions in the repository. The integration process then builds and runs tests while analyzing the code. The CI detects any problems with the code and gives feedback to the developer. The developer fixes them and then approves the changes to the code. This way no code ever gets broken.

One of the benefits about using Continuous integration is that the version control system holds all current and changed code. You can easily go back to see what changed and how something may have broke.


From the blog CS@Worcester – Rookey Mistake by Shane Rookey and used with permission of the author. All other rights reserved by the author.

Ministry of Testing Podcast

The Philosopher and the tester

In this episode of the ministry of testing, Israel Alvarez talks about his transition from a philosopher background to becoming a QA tester. He believes there is a lot of positives from his philosophy background that has helped his career as a software context driven tester. Philosopher raises topics and concepts that forces you to think and so does testing so it was fairly relatable and easy to apply his acquired skills from philosophy. Being able to critically think is key to becoming a great QA tester. Knowing what to test for and how to test for makes this arguably one of the hardest things to do. Often as a tester, you have to analyze your own thinking, many times risking the analysis paralysis syndrome. As a math and philosophy major, Israel was always faced with problems that often didn’t have plan cut simple solution so he always had to try and apply what he had learned to get the job done with thinking outside the box. That’s what makes testing so hard. Its easy to come up with some things to test in a code or program but finding out things that need to be tested requires a thorough understanding of the product or software that is being developed. You often need to understand it even more than the creators of the product. They only way you can adequately test a product is to find its boundaries, applications and purposes and see what you can do to challenge these thing or break them. In a start up for instance, there are deadlines, scope changes and many challenges’ that testers have to endure. Proving your value as a tester is very important in the early stages of testing. Learning to articulate and defend ones view, as a tester is an essential skill that every tester needs to have to grow. This is a major challenge because developers often have to prove their point and findings to the programmers. Programmers often have strong views and passion for their work and in order to properly nit pick and criticize defect or bug that is in their work, you need to be able to establish yourself and emphasize overall product quality in your defending’s. As a tester, developers often have stressed feelings towards your work. It’s just the nature of the job as a QA manager or tester. It’s your job to ensure that the developers have put out the best possible product or software they can produce.



From the blog CS@Worcester – Le Blog Spot by Abranti3 Dada Kay and used with permission of the author. All other rights reserved by the author.

38. How to be a Programmer: Personal and Team Skills


Coding blocks podcast is presented by Joe Zack, Michael outlaw and Allen Underwood. In this podcast episode, the gang talks about what it takes for someone to become a good programmer for his company and his team. One thing that is known to be a problem of the technology world is the lack of people with adequate teamwork and collaboration skills. I picked this particular podcast episode because I felt this would help anyone who reads. They talk about personal skills and practices that just makes one a better programmer in the industry. The main problem that occurs during team tasks is estimating how long a coding task will take. You want to please your boss and he also wants to please his boss so understanding each other and establishing that mutual trust makes it easy to work coherently in the task at hand. One challenge that most programming teams experience with their leaders is scope creeping. Scope creeping is a project management term that refers to changes, continuous or uncontrolled growth in a project’s scope, at any point after the project begins. This can occur when the scope of a project is not properly defined, documented, or controlled. It is generally considered harmful. This is because it causes problems and situations that are often not accounted for. Usually with every programming project, specifications are laid out and a timeline estimate is created for people to adhere to but once the scopes begin to change, unaccounted scenarios begin to happen. As a programmer, great communication between team members and leaders brings success to the project. This is because everyone has different level of expertise and often tasks and timelines are drawn based on the programmer’s expertise. Another thing that needs to be accounted for is vacations and sick absences. It’s the task of the programmer and team members to show commitment during tasks. You cannot take a 2 weeks or 1 week vacation when you know that the team is waiting for you to build the baseline site for people to continue developing on. This strings back to the trust issue. Efficient communications has to be open between members of teams to properly resolve issues such as these. Again communication thrives in teams when everyone is on the same level. Usually in teams, everyone has different background and finding that middle ground to communicate effectively helps the team thrive.





From the blog CS@Worcester – Le Blog Spot by Abranti3 Dada Kay and used with permission of the author. All other rights reserved by the author.

Clean Architecture – Components and Component Cohesion

Episode 71

Coding blocks podcast is presented by Joe Zack, Michael outlaw and Allen Underwood. In this podcast episode, they squad begin by talking about components cohesions in architectural designs. Cohesion in software designing refers to the degree to which the elements inside a module belong together. In one sense, it is a measure of the strength of relationship between the methods and data of a class and some unifying purpose or concept served by that class. In another sense, it is a measure of the strength of relationship between the class’s methods and data themselves. Cohesion is an ordinal type of measurement and is usually classified under two categories, “high cohesion” or “low cohesion”. According to the team, there was a principal known as the fish bowl principal, this was employed in system building and architectural design for so many years. It was believed that the fish would eventually grow to fit the bowl it was placed in. But that has changed over time, with services like AWS and other cloud functionality, developing software of any size is easily manageable. Scalability is often handled by high performance systems that allocate resources to where is it needed most and vise versa when it’s not in demand. A big part of this new trend of software reuse is propelled by the open source project that currently runs the software industry. Building components or software in components also propels this new trend of code reuse. This is because in components, code is built to be self-dependent and sufficient to run on its own. It is viewed as a module that fits a part of the big puzzle. Testing for modules and components do not break the original code as it is tested as a single entity that interacts with the overall project. Another topic that gets discussed by the group is the common closure principal. The common closure principle consists of classes that change for the same reason and at the same time. This is similar to the single responsibility principle. This simply means that if the character of the class is changing, then the component is also gonna change. We need to make sure that the component is only changing for one reason only and if there is more than one reason, then there should be more than one component. Overall, this episode went very in-depth to technical practices and techniques that are used to develop components and architecture in software creation. This level of in-depth was a little too much for what we are studying but I felt it was necessary as it gets us thinking about how to build software in components and parts and start learning how to allocate functionalities to individual components.


Link – Episode 71


From the blog CS@Worcester – Le Blog Spot by Abranti3 Dada Kay and used with permission of the author. All other rights reserved by the author.

Episode 33 —Testing in Data Science

In this week’s testing podcast episode, Brian explores testing in data science with the famous Katharine Jarmul. Katharine is a expert in data science and machine learning. She mainly uses python to write unite tests for her projects. I picked this podcast because after listening to this, I learned more about how to put together testing teams, how to manage and direct traffic in a testing team and how to be the driving force for success in the team. According to her, no matter how much we know as a team, with each testing project, we need to bring together all our resources and ideas. Testing often goes out of the scope of what is considered the norm. This is because in testing, we normally try to find the boundaries and limits if products and software. As a teacher and owner of a consulting company, Katharine often spends her days developing testing strategies that requires the implementation of new and modern testing technologies such as Integrating QA through agility and TCoE , Higher Automation Levels with a focus on security and Context driven testing.


Integrating QA through agility and TCoE

Though agile development teams have been around for a long time, agility in testing is still nascent. With the continuous pressure to quickly deliver software, businesses are investing time and money into setting up a TCoE with the objective of reducing CoQ, increasing test effectiveness and generating more ROI out of testing. From 2011 to 2014, the number of operational TCoEs has increased from 4% to 19% and is expected to increase further in the future.


Higher Automation Levels with a focus on security

System robustness and security has always been a top priority but with growth in social media and mobility and need for software that can be integrated to multiple platforms, systems are becoming more vulnerable. There is a pressing need to ensure enhanced security, particularly in applications handling sensitive data. This is causing QA to focus more on security testing.


Context driven testing

The challenge for businesses to maintain central hubs of hardware, middleware and test environments necessary to comprehensively test them has caused context driven testing to become more popular as it ensures more testing coverage from diverse angles. It is expected that this will impact skill development among testers, as there will be more demand for testers with exposure to different contexts.




From the blog CS@Worcester – Le Blog Spot by Abranti3 Dada Kay and used with permission of the author. All other rights reserved by the author.