Towards an OSF-based Registered Report Template for Software Engineering Controlled Experiments
This paper investigates the use of Open Science Framework (OSF)-based Registered Reports to improve rigor and reproducibility in software engineering controlled experiments, finding that while they are promising, current templates do not yet fully satisfy established documentation guidelines.
Original paper licensed under CC BY 4.0 (http://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Imagine you are a chef trying to create a brand-new, revolutionary recipe.
In the world of Software Engineering (SE), researchers are like these chefs. They run "controlled experiments" to find out the best ways to write code, fix bugs, or manage teams. However, there is a problem: many chefs finish their dish, serve it, and then claim, "I just happened to add salt at the last second because it looked right!"
In science, this is a problem. If you change your recipe after tasting it to make it taste better, you aren't discovering a great recipe; you're just "fudging" the results to make them look good. This makes it impossible for other chefs to recreate your success.
The Problem: "The Secret Sauce" Syndrome
The authors of this paper noticed that while software researchers are trying to be more open, they often lack a strict "recipe book" (guidelines) to follow. This leads to:
- P-hacking: Tweaking the data until it looks like a success.
- Publication Bias: Only sharing the "delicious" results and hiding the "burnt" ones.
- Lack of Reproducibility: Other researchers try your recipe, but it never tastes the same.
The Solution: The "Registered Report" (The Pre-Planned Menu)
To fix this, the researchers suggest using something called a Registered Report (RR).
Think of a Registered Report as submitting your recipe to a food critic before you even turn on the stove. You tell the critic: "Here is exactly what I plan to cook, exactly which ingredients I will use, and exactly how I will measure if it's delicious."
If the critic approves your plan, they promise to publish your results no matter what happens. Even if the dish turns out to be a disaster, the scientific community learns something valuable: "Don't use these ingredients together!" This prevents people from hiding their failures.
The Tool: The OSF (The Digital Kitchen Organizer)
The researchers looked at a platform called the Open Science Framework (OSF). Think of OSF as a high-tech, digital kitchen organizer where scientists store their recipes, ingredients, and notes.
The OSF has several "templates" (pre-made recipe cards), but the researchers found a snag: None of the existing cards are perfect for Software Engineering chefs.
It’s like trying to use a "Baking Template" to write a recipe for "Sautéing Steak." You can make it work, but you’ll be missing important steps like how to clean the pan or how to sharpen your knife.
The Findings: A "Good, but not Great" Fit
The authors compared the existing OSF templates against a master list of "Perfect Recipe Guidelines" (created by another researcher named Jedlitschka).
They found that while some templates (specifically one for qualitative research) were pretty good, none of them covered everything a software engineer needs. They were missing specific "ingredients" like how to document code, how to use software tools, and how to handle the unique "messiness" of computer science.
The Roadmap: What’s Next?
The paper concludes by saying, "We have the ingredients, but we need a better cookbook." They propose a plan to:
- Design a custom "Software Engineering Recipe Card" for the OSF.
- Talk to the "Kitchen Managers" (OSF) to see if they can build better tools.
- Create a standard language so all scientists are speaking the same "culinary" tongue.
- Test it out with real students and professors to see if it actually helps them cook better science.
In short: The paper is a call to action to move from "cooking by feel" to "cooking by a strictly pre-approved plan," ensuring that the science of software is as reliable as a Michelin-star recipe.
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