Sandbox Articles
We’re curious people by nature. And we love to teach others what we’ve learned. So explore our blog to gain fresh insights from our expertise in areas ranging from culture to AI.
SEP Wins TechPoint’s 2024 Innovation Service Partner of the Year Mira Award
SEP Recognized as Indiana’s Top Innovation Service Partner, Winning TechPoint’s Prestigious Mira Award Westfield, Indiana - SEP has been named the Innovation Service Partner of the Year by TechPoint at the 25th annual Mira Awards. The Mira Awards, Indiana’s largest…
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Abstract data types are a pretty well known concept in computer science and software engineering. The concept is pretty simple. If you have something that is complicated, then you can make it easier to deal with by only exposing an API that allows you to safely interact with the complicated component. Of course also known […]
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Code Analysis: Fluid Call Tree
Let’s elaborate on the nature of these call tree diagrams. Consider the following code: void doStuff() { doOtherStuff(); } void doOtherStuff() { init(); final(); } void blah( int x ) { if ( x == 2 ) { function(); otherFunction(); } else { doStuff(); } } Depending on the input for the blah function, we […]
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Code Analysis: Shared Mutable State
My previous post asserts that mutable state can cause a software engineer issues in understanding the program because it becomes arbitrarily hard to understand when two different parts of a program are actually connected. This is also why some sort of run time debugging facility is needed in order to understand some types of code. […]
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Code Analysis: Mutable State
Mutable state gets a bad rap when you talk to pure functional programmers. I don’t think mutable state is inherently a problem, but it does have an effect on your ability to understand a program. So let’s look at what happens when you introduce a mutable reference into a programming language. The problem as I […]
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Code Analysis: Halting Problem
Let’s do a quick digression. I wanted to talk about mutable state, but first I think we should consider the halting problem. The halting problem goes something like this: Halt( program_source, program_input ) { if ( <The program Halts with that input> ) return true; else return false; } // Now assume a hypothetical program […]
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Code Analysis: Introduction
There already exists a significant amount of code analysis techniques out there. I think the existing technologies are pretty useful for tracking some aspects of why a given piece of code can be difficult to deal with. However, I want to add a diagram technique that can be used to describe certain features in programming […]
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Problem Analysis: Overlapping Blobs
Last time we started to explore the idea that you can have a system or problem that is difficult to deal with and understand because the interactions between blobs are in some way difficult. However, we only covered the idea that the arrows that connect blobs are complicated. There is a similar problem when we […]
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Problem Analysis: System Complexity
The last post talked about aspects about arrows that could make a problem difficult to deal with. Now I’m going to talk about how a collection of arrows might make a problem difficult to deal with. The complexity and difficulty of a system isn’t just going to be determined by the aspects of the blobs […]
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Problem Analysis: Continuous Functions
The last blog was the final entry talking about the aspects of blobs that cause problems to be difficult. Now, we’re going to talk about the aspects of arrows (III) that cause problems to be difficult. Continuous functions are a familiar concept to those who have taken calculus before. With the diagrams we’ve been using, the […]
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