What are your best code debugging techniques for SDLC?

One thing I have found helpful is to write the test case first, and then write the logic that will be tested by the test. This help in two ways, 1. A test is used to measure an expected outcome. The test will help shape how the code is written to solve the business problem. 2. Most engineers do not like, have the time or have been train to write test cases. Starting with the test case, can help improve the quality of the code.

One thing I've found is using a debugging tools: break points and run applications as a debugg shows where the erros occured: we can see log results and causes of the error in the console. that helps to see where the error comes from and fix the error. For example, we run a web mining application on a remote server and data cann't be scraped because the client might blocked the user for security reason or they might change their URL. In this case Identifing the break points and rerun the app on debug mode will show where the error comes from while we step into the whole application depnedancies and test cases.

I use a slightly different way of debugging, some common practices I follow: Step 1: Whenever I get any bug or issue to get fixed, before validating the bug I first read the linked user story/requirements doc. Benefits: 1. It gives an end to end idea about requirements. 2. It helps to avoid any future bug which can occur by our fix. 3. Reduces chances of reopening bug. 4. Sometimes the bug turns out to be invalid also. Step 2: Validate the bug, identify till what stage code is working fine. Log cat is the best friend on which you can rely on identifying the error code. Use the debugger and check step by step. Step 3: Instead of using any add-ons try to use the IDE built-in tools like app inspection, lint analyser etc.

Use a systematic approach Debugging your code during the SDLC can be made easier by following a logical sequence of steps. For example, you should identify the problem by defining expected and actual behavior, and then reproduce it by creating a test case. Next, analyze the problem by examining the code, data, and logic involved, and then fix it with the most suitable solution. Finally, document the problem with details about the bug, solution, and testing results. By using this systematic approach, you can debug your code more effectively and confidently.

Break down complex debugging challenges into manageable steps. Start by clearly defining what the code should do (expected behavior) and how it's deviating (actual behavior). Replicate the issue in a controlled environment with a test case. Then, delve into the code, data, and logic to pinpoint the culprit. Once you've got the fix, document everything: the bug, the solution, and how the fix holds up under testing. This structured approach streamlines debugging, boosting your confidence and efficiency.

Debugging tools are like superheroes for developers, making bug hunting a breeze. They offer features like breakpoints to freeze code, step-by-step execution to track changes, and watch expressions to keep an eye on values. The call stack reveals the journey of functions, while the console shouts out messages and errors. These tools are lifesavers, catching and handling issues in the blink of an eye during the Software Development Life Cycle (SDLC). So, embrace them – they're your sidekick in the coding adventure! 🦸♂️💻 #DebuggingMagic

1. Leverage Built-in Debuggers: Most development environments come with built-in debuggers. Use them to step through code and find issues. 2. Set Breakpoints: Insert breakpoints at critical points in your code to pause execution and examine variables and logic. 3. Check Error Logs: Review logs to understand where and why errors occur. Logs often contain valuable information. 4. Use Print Statements: Sometimes, simple print statements can quickly reveal what's happening with your code.

Supercharge your SDLC workflow with debugging allies. These specialized programs act as code detectives, helping you pinpoint and fix issues with precision. Imagine pausing your code at specific points (breakpoints) to examine its inner workings. Step-by-step execution lets you witness the code unfold line by line. Keep an eye on specific variables (watch expressions) to ensure they behave as expected. When functions nest within each other, the call stack unravels the sequence, making navigation a breeze. And don't forget the console, your window into the code's world, displaying messages, errors, and outputs. These tools, along with robust error handling, empower you to catch and address problems as they arise, making debugging a breeze.

when you are writing code for enterprise applications code quality practices should be top priority , I am always following coding guidelines like for Java I have document having all standards which we have to follow , instead of writing rigorous code I always prefer to use patterns which improves my code quality. Next thing is debug tools which help me to apply break points last thing is having pair programming, which helps me to change my mindset from keeping an eye on all possible errors which can occur.

Go beyond reactive debugging with proactive code quality practices. These techniques act as a shield, preventing bugs before they arise. Imagine clear, well-organized code thanks to consistent formatting and naming conventions. Refactoring polishes your code's structure, making it more efficient and easier to understand. Testing becomes your safety net, catching potential issues early on. Finally, code reviews bring multiple perspectives to the table, identifying areas for improvement and fostering collaboration. By embracing these practices, you can build a strong foundation for reliable, maintainable code, reducing debugging headaches throughout the SDLC.

One of the unsaid rule of debugging is when you tried everything and you still could not find the source of error. Give it a rest, try working on something else and come back maybe after few hours or next day. In my experience, it's almost a guarantee that the solution becomes apparent when you revisit the problem with a fresh perspective.

A debugger's mindset is of a student. You might be the best programmer in the world, but the compiler could care less. So put on those reading glasses, and get a buddy, who can help you with the codebase. P.S. - ChatGPT could be a buddy as well, from my recent experiences.

A debugging mindset approach equips you with the mental tools to conquer challenges. Curiosity fuels your quest to understand the code's inner workings. Persistence keeps you going when the going gets tough. Creativity allows you to break free from conventional thinking and explore innovative solutions. Finally, humility empowers you to acknowledge your limits and seek help from your team. This positive outlook transforms debugging from a chore into a collaborative learning experience, making you a more effective and well-rounded developer.

Other things to consider: 1. Write short functional code and test it, do not wait until everything is done to start testing 2. Start with the expected outcome in mind and write a test to validate that, then write the code. Some of the test should fail, until you write the code that meets the expected outcome. 3. Pick a framework and learn how to use it to reduce bugs, specifically security bugs.

1. Utilizing version control systems to track code changes and revert to previous versions if needed, helps isolate the bug and minimize regressions. 2. Implementing a robust logging system to record code execution details and error messages provides valuable insights into program behavior during debugging. 3. Explaining the problem to an imaginary person (often a rubber duck) to force yourself to articulate the issue clearly can often lead to breakthroughs in your own thinking. 4. 'Error messages' often point directly to the source of the problem. Analyze them carefully to understand the root cause. 5. Writing unit tests beforehand forces you to consider edge cases and potential issues, leading to more robust code from the start.