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Measuring Program Similarity: Experiments with SPEC CPU Benchmark Suites Hashish Phansalkar, Ajay Joshi, Liven Lockout, and Liz K. John hashish, Joshi, John ECE.Texas.edu, leech Ellis.agent.be University

How to fill out measuring program similarity experiments

1. Before starting the experiment, gather a set of programs that you want to compare for similarity. These programs could be from the same domain or field of study.
2. Define the criteria for measuring program similarity. Decide what aspects you want to focus on, such as code structure, algorithmic complexity, or language-specific features.
3. Choose a suitable metric or method to quantitatively measure program similarity. There are different approaches available, such as token-based similarity measures or graph-based methods. Select the one that aligns with your criteria and goals.
4. Implement the selected metric or method for program similarity. This could involve coding a similarity algorithm or using existing libraries and tools that offer program similarity analysis.
5. Prepare a dataset of programs for testing the similarity measurement. This dataset should include a variety of programs that cover different aspects of the defined criteria.
6. Run the similarity experiments on the dataset. Use the implemented metric or method to assess the similarity between pairs of programs. Collect and record the similarity scores or any other relevant information.
7. Analyze the results obtained from the experiments. Look for patterns, trends, or interesting findings in the similarity scores. Evaluate if the chosen metric or method successfully captures the desired program similarity.
8. Interpret and summarize the findings from the experiment. Use the results to gain insights into program similarity and draw conclusions based on the defined criteria.

Who needs measuring program similarity experiments?

1. Software developers can benefit from measuring program similarity experiments to gain insights into code reuse, identify duplicated code sections, or evaluate the efficiency of their software development practices.
2. Researchers in the field of program analysis can utilize measuring program similarity experiments to explore new techniques, develop novel algorithms, or validate existing methodologies for program similarity assessment.
3. Educational institutions can use measuring program similarity experiments to evaluate students' coding skills, detect plagiarism, or assess the effectiveness of teaching methods and curriculum design in programming courses.

Overall, anyone interested in understanding program similarity, improving software development practices, or studying code patterns and similarities can find value in measuring program similarity experiments.

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What is measuring program similarity experiments?

Measuring program similarity experiments involves comparing different programs to measure their similarity based on certain criteria.

Who is required to file measuring program similarity experiments?

The entities or individuals conducting the experiments are required to file measuring program similarity experiments.

How to fill out measuring program similarity experiments?

To fill out measuring program similarity experiments, the required information and data need to be collected and documented according to the specified guidelines.

What is the purpose of measuring program similarity experiments?

The purpose of measuring program similarity experiments is to analyze and evaluate the similarity between different programs to gain insights and make informed decisions.

What information must be reported on measuring program similarity experiments?

The information that must be reported on measuring program similarity experiments typically includes program details, data used, methodology applied, and findings obtained.

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