9 Software Development Best Practices

Do you think that there is a thing – a “perfect software development project,” and if so, how do you measure it? There are rigorous standards and many software development best practices methods, such as scrum or extreme programming. Still, I’ve realized that it’s not always possible – or wise – to adhere to these procedures completely.

It doesn’t mean that we do not attempt to execute these approaches correctly; we need to remain flexible. As part of this flexibility, we should consider the general structures that ensure the success of a project, as well as how consistency and coherence may enhance your chances of attaining the “ideal.” We collaborated since there is no “playbook” on the components of the perfect software development project.

Keep Your Code Simple 

Max Kanat-Alexander, a Google software developer and the Community Lead and Release Manager of the Bugzilla project, came up with the concept of code simplicity. 

The goal is to eliminate needless complexities in software development. Rajeev Bera has some exciting posts on AFTER technique and Git best practices on his blog – acompiler.

Test Code Continuously

I was first skeptical about Test Driven Development (TDD) since it looked overly prescriptive. TDD, I’ve discovered, gives you more confidence in the quality of your code.

On the other hand, behavior-driven development (BDD) enables you to learn the features and requirements directly from the client. This alignment translates into code that is more responsive to the demands of the users. Complete integration testing guarantees that all components operate as they should and enhances code coverage.

Keep It Consistent   

It’s critical to maintain a uniform style guide for your codebase while working with a team. There is no consistency amongst writers if you can determine who wrote a given file in a codebase. There are several techniques for enforcing uniform style; here are three of our favorites:

  • JSCS (Javascript Style Checker) is a JavaScript linter with an excellent formatter.
  • ESLint is a very customizable linter that has acquired a lot of traction in the community.
  • Editorconfig is a tool for ensuring uniformity among the many editors and IDEs that your engineers use.

Code Review

Everyone makes errors. The first step in putting your faith in a code review is to adopt a mentality that permits you to accept flaws. It’s a good idea to have a coworker go over your pull requests before merging them to verify final code quality. 

The primary line is that code reviews can decrease defects in the product, therefore let go of the concept of perfection.

Realistic Estimate 

A reasonable budget prevents your software project from becoming overburdened. With agile techniques, this allows the scope to stretch more readily as the project develops, but a genuinely off estimate can cause quality, morale, and productivity issues.

Estimation can be tricky since it’s challenging to strike a suitable medium between being realistic and sandbagging when there are many unknowns. 

You may be confident that greater estimating comes with experience, and there are several tools available to help evaluate your story.

Refactoring

Refactor anytime you see a need and have the opportunity.  Programming is all about abstractions, and the more closely your abstractions map to the problem domain, the easier it is to maintain your code. 

As systems evolve naturally, their structure must evolve to accommodate their increasing use case.

Systems outgrow their abstractions and structure, and failing to change them creates a more complex (and slower, and buggy) technical debt to work. Include the cost of refactoring (clearing technical debt) in your feature development estimates. The longer you keep the loan unpaid, the more interest it accrues.

Make Code Correct First then Quick

Always profile before making changes while working on performance issues. Usually, the bottleneck is not where you expected it to be.  Writing esoteric code for the sake of speed is only worthwhile if you’ve profiled and shown that it’s genuinely valuable.

Writing a unit test that exercises the code where you’re profiling with timing makes it simpler to know when you’re finished, and it can be left in the test suite to prevent performance regressions. (As usual, adding timing code affects the performance characteristics of the code, making performance work one of the more arduous chores.)

Unit Tests

When smaller, more strictly scoped unit tests fail, they provide more critical information—they tell you precisely what is wrong. A test that raises half of the system to test behavior necessitates more research to discover what is wrong. 

A unit test that takes more than 0.1 seconds to perform is not considered a unit test.

No such thing as a sluggish unit test exists. Your tests function as a de facto definition for your code when using narrowly scoped unit tests to test behavior. If some other developer wants to understand your code, they should ideally refer to the test suite as “documentation” for the behavior.

Make Short Commits in Git

Often, programmers working on anything get diverted into doing too many things when working on one thing. For example, when you attempt to repair one issue, you see another, and you can’t resist the desire to address both.  And here’s another. 

It quickly snowballs, and you end up with a slew of changes all going into one commit.So make sure you follow the correct tips in Git as mentioned on opensource.

This is troublesome, and it is preferable to keep commitments as limited and concentrated as possible for a variety of reasons, including: 

  • It makes it simpler for other team members to review your modification, making code reviews more efficient.
  • If the commit was undone entirely, it is considerably easier to do so.
  • These modifications are simple to track using your ticketing system.

Conclusion 

The “ideal software development project” may never exist in reality! Each project has its quirks, flaws, pleasures, tragedies, dreams, features, users, problems, codebases, test cases, and a plethora of other components. 

Hopefully, these ideas will help your projects become more consistent and coherent. When in doubt, share your knowledge, foster trust among your development team members, and you will ship.

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