Se enfrenta a un difícil problema de ingeniería de software. ¿Cuál es la mejor manera de abordarlo?

You should always try to understand the problem at hand as well as possible, but sometimes tough software engineering problems are tough for the very reason that there is a lack of information. It may be impossible to understand the problem well enough before the work commences. If this is the case, taking a step back and figuring out how the problem understanding can best be developed may help. Very briefly: Identify the key stakeholders and empower them to help guide the process. Engage with stakeholders regularly to adjust the project trajectory as needed. Write down what is known and what is not, then identify the important unknowns and develop plans to resolve them. This kind of problem is well suited to an agile approach.

In addition to chatGPT tips, especially in case of some debugging task or firefighting an issue, I would say, it is a teamwork, reach out to people, be selfish in asking for help, you might not get all help as others are busy too. Parallelize reaching out e.g. reach out to a teammate, to a friend and to a vendor or third-party engineer whose HW/SW you are using. Many times in SW engineering work, an external view of your code shows you something that you were not able to see, it happens. Try to come up with various ways of testing to reproduce the bug or test a fix, use first principles. You would need to strategize on how to divide the problem in different parts, and also how to come up with various hypothesis to test and find root cause.

Break down the problem into smaller, manageable tasks. Prioritize them based on impact and dependencies. Research existing solutions and gather requirements. Design a flexible architecture. Implement iteratively, testing each component thoroughly. Collaborate with team members for feedback. Document the process and code for future reference. Iterate based on feedback and continuously improve

🔍𝗦𝗼𝗹𝘃𝗶𝗻𝗴 𝗧𝗼𝘂𝗴𝗵 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀🔍 🎯 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝘁𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺🧐: Clearly define the goal, inputs, outputs, and constraints. Ensures a solid understanding before proceeding. Example: Mapping out user requirements and expected functionalities. 📊 𝗨𝘀𝗲 𝗗𝗶𝗮𝗴𝗿𝗮𝗺𝘀 & 𝗣𝘀𝗲𝘂𝗱𝗼𝗰𝗼𝗱𝗲✏️: Visualize problems with flowcharts or UML diagrams. Makes complex issues more tangible. Example: Sketching a system architecture or data flow diagram. ❓ 𝗔𝘀𝗸 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 & 𝗖𝗹𝗮𝗿𝗶𝗳𝘆🤔: Never hesitate to seek clarification on ambiguities. Encourages collaboration and innovation. #ProblemSolving #SoftwareEngineering #TechnicalExcellence

You need to understand the problem and the best way is to have a test environment that is a copy of the live environment and reproduce the problem Once you have that then you can solve it

"Solving the problem with a calm approach, thorough planning, systematic breakdown, and adaptable execution." Taking an example here of building a paper plane. If you dive in without a plan, folding randomly, you'll likely end up with a crumpled mess. Similarly, tackling a big problem in software engineering without breaking it down can lead to frustration and failure. Instead, take it step by step. Start by jotting down the different parts of the problem, just like planning the components of the paper plane. Then, methodically tackle each part, folding and shaping it with care. This systematic approach, breaking down the problem into manageable steps, is the key to success in both building a paper plane and solving complex software issues.

Break the problem down into smaller and smaller pieces until you have a collection of small problems you know how to solve. You don't need to know how to solve every problem to get started. You will learn more as you go and some of the solutions will change. The important thing is map out how to get from where you are to where you want to be. Sometimes a road will be closed or be a dead end. Having the map will help you adjust en route. A more junior engineer may need to break a problem down into smaller chunks than a more senior engineer. That's fine and simply reflects different levels of experience. Don't be afraid to get pedantic if it helps you think clearly. And don't be afraid to engage your more senior peers for advice.

🧩𝗕𝗿𝗲𝗮𝗸 𝗜𝘁 𝗗𝗼𝘄𝗻: 𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝗧𝗼 𝗦𝗼𝗹𝘃𝗲🧩 🔍 𝗗𝗶𝘃𝗶𝗱𝗲 𝗮𝗻𝗱 𝗖𝗼𝗻𝗾𝘂𝗲𝗿⚔️: Split complex problems into manageable subproblems. Focus on solving each piece individually for cumulative success. Example: Isolating features in software development for individual attention. 📐 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 & 𝗠𝗼𝗱𝘂𝗹𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻📦: Abstract away details to see the bigger picture. Modularize components to understand their interactions. Example: Creating service modules in a microservices architecture. 🧪 𝗧𝗲𝘀𝘁 𝗖𝗮𝘀𝗲𝘀 & 𝗘𝗱𝗴𝗲 𝗖𝗮𝘀𝗲𝘀🔬: Validate each subproblem with test scenarios. Ensures thoroughness and detects potential flaws early. #SoftwareEngineering #SoftwareDevelopment #API #Microservice

🛠️𝗖𝗵𝗼𝗼𝘀𝗲 𝗮 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: 𝗣𝗶𝗰𝗸 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗧𝗼𝗼𝗹𝘀 𝗳𝗼𝗿 𝗘𝗮𝗰𝗵 𝗝𝗼𝗯🛠️ 🗃️ 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 & 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀🔍: Utilize efficient algorithms and data structures tailored to optimize performance and resource usage. Example: Choosing a Hash Map for fast lookups in data-heavy applications. 🎨 𝗗𝗲𝘀𝗶𝗴𝗻 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀💡: Implement proven design patterns and frameworks that enhance code readability, reuse, and maintainability. Example: Applying the Observer pattern for event-driven systems. #CodingStrategy #EfficientSolutions #SoftwareDesign #SoftwareEngineering #SoftwareDevelopment #API #Microservice

✍️𝗪𝗿𝗶𝘁𝗲 𝘁𝗵𝗲 𝗖𝗼𝗱𝗲: 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 𝗶𝗻𝘁𝗼 𝗥𝗲𝗮𝗹𝗶𝘁𝘆✍️ 🛠️ 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 & 𝗖𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝘀📐: Adhere to syntax, indentation, naming, and commenting standards for clear, maintainable code. Example: Consistently using camelCase for variable names in JavaScript. 🧼 𝗖𝗹𝗲𝗮𝗻 & 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗖𝗼𝗱𝗲🔖: Write code that's easy to read and understand, modularizing components for better reuse and maintenance. Example: Breaking down a large function into smaller, more focused functions. #SoftwareDevelopment #CodingBestPractices #CleanCode

During a critical soak test, our application consistently crashed within the first hour due to unclosed database connections. Here's the collaborative approach I used to fix the issue quickly: Rapid Diagnosis: I analyzed logs and scanned the code base to pinpoint the files responsible for the connection leaks. Clear Communication: I rallied the team, emphasizing the urgency and the need to strictly adhere to our CI pipeline to ensure a high-quality fix. Strategic Delegation: I divided the identified code files strategically among the team, assigning focused fixes with clear instructions to each developer. Rapid Deployment: We prioritized a hotfix release, enabling swift implementation and testing.