10 Bad Coding Practices That Wreck Software Development Projects

10 Bad Coding Practices That Wreck Software Development Projects. The Pareto principle that 80% of the results can be attributed to 20% of the probable causes of a particular event. Also known as the 80-20 rule, it deals with almost every area of ​​human endeavor.

In the field of software development, the principle can be summarized by saying that the smallest coding methods are the most common problems. Eliminate them, and your task will be much easier and more productive.

10 Bad Coding Practices

10 Bad Coding Practices

#1. Types in your code

These are surprisingly common, and they are called because they have nothing to do with your programming skills. Even so, a static variable name or function name can cause havoc on your code. What’s more, they can’t be more comfortable on the spot.

What is the solution? Working in a well Integrated development environment (IDE) or a program-specific text editor can significantly reduce keywords. One more thing you can do: Deliberately select variables and verbs that are easy to spell and, therefore, facilitate the opportunity when they are being misused. Avoid words such as to receive, which can be easily mistaken.

#2. Your code failed to industry or format

Your code is easy to target and otherwise easy to ignore and, therefore, a mistake. It makes it easier for other people to maintain your code, as it is presented consistently.

An IDE that does not automatically format your code considers running it through a code shooter such as incompatibility, which is consistent with the rules you configure. It will format.

#3. Fail to modulate your Code

It’s just one thing and one thing, good coding process for writing functions. It helps keep them low, therefore, easy to understand and maintain. Moment functions have many possible paths through them, making them very difficult to test.

A good rule of thumb: A function shouldn’t occupy more space than one. Screen. Second one: If it has 10 or more “if” statements or loops, then it’s too complicated and should be rewritten.

#4. Your IDE is Intended to Expose you to Security

IDEs and other resources that provide code completion are great for productivity. They suggest variables and other things that are in your nature, according to what you’ve already written. But the danger with this type of device – it’s because you can choose what you want is to be sure that you have 9 or expected. Mostly, this tool keeps thinking for you when you’re responsible for making sure that thinking is correct.

However, Code completion tools can help eliminate errors such as types and productivity increases. They can also introduce “code completion” errors

#5. Hard Coding Password

This secret code and the secret account are attractive so you can get to your system later. You know you shouldn’t do this – yes, it’s easy, but it’s easy for anyone who has access to the source code.

The real problem is that a coded password will eventually become more and more known that you intend to make it a huge security risk.

#6. Failure to use Good Encryption to Protect the Data

Sensitive data needs to be investigated as it travels over the network, as it is vulnerable to such interference. This is not just a good idea; if it is not the law, then it is a regulatory requirement.

This means that the data sender explicitly says “no.” Also, use it with your own encryption or obfuscation scheme. It’s difficult to write your own secure encryption system – look at what happened to WEP – so use a proven industry-standard encryption library and use it correctly.

#7. Correction code by default

Being smart with your code makes it run exceptionally fast, but it makes it very difficult to debug and maintain. A Better Strategy: Write down your code clearly, then work on any areas that need optimization to improve performance.

#8. Failing to Think

What is the purpose of your project, how much is expected to be measured, how many users will it have, and how fast will it be run? Answers to these questions may not be available but if you fail to evaluate.

Twitter provides you a good example of problems minimizing future needs. Twitter had to drop Ruby on the Rail and rewrite many of its code using its code and other techniques because of the Ruby code.

#9. Adding people to make up for a lost time

Almost every software project falls behind schedule. To add people to this project is a good idea in theory as ignoring the track sounds, but it’s a common mistake. Adding new people to a project almost always results in a reduction in overall productivity.

#10. Using Known Bad Time Estimates

At the same time, to avoid being tempted, you must catch up with your schedule later without having your people involved in the project. If you fall behind schedule, your time estimate was wrong. This means that if you want to make a new estimate of the length of the project, they cannot be inferred that it has already been proven wrong.

Conclusion

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