Exploratory Research Code
A Exploratory Research Code is a software code item typically used in research setting.
- Context:
- It can (typically) be designed to explore new ideas or address research questions without predefined solutions.
- It can prioritize rapid iteration and flexibility over stability, often resulting in less structured code and harder to maintain.
- It can be frequently used to experiment with new algorithms or data analysis techniques, and its functionality evolves as research progresses.
- It can (often) accumulate Technical Debt quickly as short-term solutions are implemented to test hypotheses or achieve results.
- It can range from simple scripts used for data cleaning to complex simulations used in computational research.
- It can serve as a creative outlet for researchers.
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- Example(s):* Example(s):
- Data Analysis Research Code, such as:
- Data Analysis Research Code to analyze the distribution of content, or to evaluate the potential of an approach.
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- Artificial Intelligence Research Code:
- NeuralNet Architecture Research Code that iteratively experiments with various architectures, hyperparameters, and training data to improve performance on natural language tasks.
- ML Algorithm Research Code for Robotics that are constantly refined based on simulation results and real-world testing.
- Iterative Problem Solving Research Code:
- Heuristic Optimization Algorithms that are progressively enhanced to tackle complex problems in fields like logistics, scheduling, and resource allocation.
- Evolutionary Algorithms that evolve over time to discover novel solutions to challenging optimization problems.
- Environmental Science Research Code: Environmental Simulation Research Codes used to model complex environmental interactions and predict future changes, accommodating new data and hypotheses.
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- Data Analysis Research Code, such as:
- Counter-Example(s):
- Production Software Code, which is optimized for stability, maintainability, and efficiency in a production environment.
- See: Technical Debt, Prototype Software, Academic Software, Code Art.