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Dark Programming and The Quantifying of Rationality and Understanding in Software

Dark Programming and The Quantifying of Rationality and Understanding in Software. Isaac Griffifth isaacgriffith@gmail.com. Stephani Scheilke stephani.scheilke@gmail.com.

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Dark Programming and The Quantifying of Rationality and Understanding in Software

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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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