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Transformation of Functional Programs for Identifying Parallel Skeletons Venkatesh Kennan. Supervised by: Dr. Geoff Hamilton 1 Parallel Hardware and Software 2 Existing Limitations Restrictions on
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How to fill out transformation of functional programs

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How to Fill out Transformation of Functional Programs?

01
Understand the concept of functional programming: Before you can start transforming functional programs, it's important to have a solid understanding of functional programming principles and concepts. Familiarize yourself with immutability, pure functions, higher-order functions, and functional composition.
02
Identify the goals of transformation: Determine the specific goals or reasons for transforming the functional programs. Are you trying to improve performance, optimize code, enhance readability, or achieve a specific functionality? Clearly define your objectives to guide the transformation process.
03
Analyze the existing functional program: Carefully examine the code of the functional program you want to transform. Identify the different functions, their dependencies, and any areas of improvement or optimization. Understand the current logic flow and data transformations within the program.
04
Plan the transformation strategy: Based on your analysis, devise a clear plan for transforming the functional program. Break it down into smaller steps or modules that can be individually addressed. Decide on the techniques and tools you will use for the transformation process.
05
Implement step-by-step transformations: Start transforming the functional program by tackling each transformation step according to your plan. Apply the necessary modifications to achieve the desired outcome. Ensure that each transformation is tested and verified to maintain the program's correctness and functional behavior.
06
Refactor and optimize the transformed program: Once you have completed the main transformations, review the transformed program for potential refactoring and optimization opportunities. Eliminate any redundant code, simplify complex logic, and improve the overall efficiency of the program.
07
Test thoroughly: After completing the transformations and optimizations, rigorously test the transformed program to ensure its correctness and functionality. Use unit tests, integration tests, and any other appropriate testing methodologies to verify the behavior and performance of the transformed functional program.

Who Needs Transformation of Functional Programs?

01
Software developers: Transformation of functional programs can be useful for software developers who want to improve the efficiency, readability, or performance of their code. It allows them to optimize existing functional programs or introduce new functionalities while maintaining the core principles of functional programming.
02
Code reviewers: Transformation of functional programs can benefit code reviewers who need to assess the quality and effectiveness of functional code. By transforming and optimizing the code, potential issues or opportunities for improvement can be identified and addressed.
03
Researchers and educators: Those involved in researching or teaching functional programming may need to transform functional programs as part of their studies or educational materials. Transformation allows them to demonstrate different techniques, compare performance optimizations, or showcase specific functional programming concepts.
In summary, filling out the transformation of functional programs requires a clear understanding of functional programming principles, careful analysis of the existing code, planning a transformation strategy, step-by-step implementation of transformations, refactoring for optimization, and thorough testing. This process can be beneficial for software developers, code reviewers, researchers, and educators in the functional programming domain.
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Transformation of functional programs refers to the process of modifying or converting functional programs to improve their efficiency, readability, or functionality.
Developers or software engineers responsible for the maintenance and enhancement of functional programs are typically required to file transformation reports.
Transformation reports for functional programs can be filled out by documenting the changes made to the code, explaining the reasons for the transformation, and providing any relevant testing or validation results.
The purpose of transforming functional programs is to optimize their performance, enhance their functionality, and improve their maintainability for continued use.
Information such as the before and after states of the program, the specific changes made, any impact on performance or functionality, and any testing results should be reported on transformation of functional programs.
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