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Quantifying Rationality in Software through Refactoring Operations

This work aims to restructure software to enhance understandability, reusability, and maintainability, assessing rationality and unveiling subjective knowledge embedded by engineers. It explores metrics, refactoring operations, and evolutionary algorithms in software engineering. The refactoring techniques used manipulate the source code structure without altering its overall functionality. The study focuses on cohesion, coupling, complexity, and understandability metrics, providing empirical insights into the rationality of emergent programs.

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Quantifying Rationality in Software through Refactoring Operations

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  1. Dark Programming and The Quantifying of Rationality and Understanding in Software Isaac Griffifth isaacgriffith@gmail.com StephaniScheilke stephani.scheilke@gmail.com Objective: To restructure software in order to increase the understandability, reusability, and maintainability as a means to quantify the rationality of a program. In effect, unveiling the potentially lost subjective knowledge and processes embedded into the original code by the Software Engineers. • Calculate • Metrics 1. Introduction 4. Basic Process • Modify • Code • Graph • This work presents an attempt to provide empirical answers to: • Rationality of emergent programs • The link between rationality and understanding of programs • Analysis of metrics to measure these qualities over the scope of large projects • Software Engineering issues dealing with automated refactoring the understandability of software by multiple engineers • Refactor • Evolutionary • Algorithm • Refactoring • Operations • UML • Generate Documentation 2. Refactoring • Source Code • Refactoring is provided by manipulating entities within a graph structure representing the content of an entire source code base of an application • These operations implement a defined technique which modifies the structure of the software without changing its overall function. • The refactoring operations used are: Figure 2. The Basic Process • Reports Figure 3.Example Resultant UML Documentation Program Rationality Program Darkness 6. Mathematical Implications 5. Results • Move Method • Move Field • Pull Up Method • Pull Up Field • Collapse Hierarchy • Push Down Field • Push Down Method • Move Class • Measures the amount of cohesion, coupling, and complexity of software components • Metric: Maintainability Reusability • Measure of the cohesion components of the software • Metric: 7. Philosophical Implications Understandability • Measures the complexity of each component of the software • Metric: 3. Metrics and Measures Class A Class B Class A Class B Move from A to B 8. Conclusions M1 M2 M1 M2 M1 M2 M1 M2 M3 Figure 1. Example Refactoring Graph Operation

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