It may take you much effort to fix a bug. The fix may not be reliable. How can you avoid this situation?
- Try to reliably reproduce the bug. It is okay if this may not be successful.
- Try isolating the bug on the same environment by using specific, smaller data and settings. It is okay if this is still not successful.
- Search for an existing solution using the error message, the library or framework name and version, and the operating system name and version. This can save us a lot of effort.
- Try to understand all the concepts in the error message.
- Debug and log messages to identify the exact location of the source code that causes the issue. In order to to this we need to do the followings.
- Identifying the flow of the data, i.e. the use case, the entry point and the exit point.
- Trying to understand the programming language syntax. Do not guess anything.
- Trying to understand the purpose, inputs and outputs of a library function. Again, do not guess anything.
- Trying to understand the data structure and a part of the database schema related to the use case.
- Trying to review some values inside the database if possible.
- Trying to understand the concepts, algorithms and architecture related to the use case.
- These steps may be done in parallel and iteratively.
- Guess a cause of the problem based on the information retrieved in the third step.
- Try to isolate the issue, i.e. try to reproduce the issue using specific code and unit tests, if possible.
- Search for or propose a solution for the cause, i.e. propose a fix.
- Test the fix.
- Repeat from Step 5 to 8 if needed.
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