EPJ Web Conf.
Volume 244, 2020Complexity and Disorder Meetings 2018-2019-2020
|Number of page(s)||10|
|Published online||15 October 2020|
How Combinatory Logic Can Limit Computing Complexity
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Published online: 15 October 2020
As computing capabilities are extending, the amount of source code to manage is inevitably becoming larger and more complex. No matter how hard we try, the bewildering complexity of the source code always ends up overwhelming its own creator, to the point of giving the appearance of chaos. As a solution to the cognitive complexity of source code, we are proposing to use the framework of Combinatory Logic to construct complex computational concepts that will provide a model of description of the code that is easy and intuitive to grasp. Combinatory Logic is already known as a model of computation but what we are proposing here is to use a logic of combinators and operators to reverse engineer more and more complex computational concept up from the source code. Through the two key notions of computational concept and abstract operator, we will show that this model offers a new, meaningful and simple way of expressing what the intricate code is about.
© The Authors, published by EDP Sciences, 2020
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