How to manage code quality while outsourcing your projects on platforms like Upwork!
How to manage code quality while outsourcing your projects on platforms like Upwork
If you’re reading this article, you’re probably either already getting a product build or setting yourself up for one. Although outsourcing software development is highly evolved now, the basic requirements remain the same- Build a product fast, high in quality, and low in costs.
Sometimes it becomes challenging to achieve these three basic requirements together. While outsourcing on Upwork or Fiverr can help bring down the costs, keeping things fast-paced and high on quality is something any company or entrepreneur has to manage.
Before we leap into ideas to solve quality, let’s quickly visit the major concerns that founders face while outsourcing development projects.
Slower turnaround time
You expect that whoever you hire will complete the task and return the finished product as quickly as possible and without any delays beyond the original estimated timeframe for completion. But that is seldom realized in practice. There could be several reasons for slower turnaround time.
- Workflow is undocumented and not transparent.
- Processes are manual and require a great deal of human intervention.
- Communication during the process is lacking.
Any of these reasons can lead to poor outcomes and various operational and financial resources.
Transparency in project status
Regardless of a project’s type or size, if a project lacks transparency, problems like missing project data, project financial ambiguity, code review, and approval, bureaucracy may happen.
In large technical projects where the trend involves multiple entities in delivering the project, there is a tremendous amount of data that gets exchanged. The level of detail, quality, and speed of this communication could have a drastic impact on project success.
Code quality monitoring
Have you wondered why it is crucial that your team needs to be certified and comply with international coding regulations? Well, many outsourcing issues stem from the failure to deal with code quality. A buggy code or code with high coupling and low cohesion is challenging maintenance.
Poor code quality is a preamble term for multiple issues with the codebase:
- Code that exhibits buggy behavior
- Longer run time
- Messy code/spaghetti code with high coupling and low cohesion
- Unmaintainable code
- Usage of obsolete libraries/frameworks
- Code repetition that leads to costly refactoring
If left unchecked, poor code quality can lead to issues during delivery. It can bring development to a halt. If the root causes are not addressed, it can lead to long periods of refactoring or a complete rewrite.
What methods can be used to monitor project quality?
To deliver fast and reduce the turnaround time administrating KPIs around quality is crucial to minimize rework and failure rates. Whereas to maintain transparency and high code quality, there are three key actions to monitor throughout a project’s lifecycle.
- Regular code review to make sure every member is keeping up with the applied practices.
- Continuously scan source code (by using static code analysis tools) to find coding issues.
- Encourage unit tests and monitor the test coverage.
How to mitigate these concerns?
The best way would be to include code review as a mode of reporting project status. It is a lightweight process that should be applied as soon as possible after the code is written on any software project. Mostly, the compiler catches issues and lists out a stack trace. But there might be some errors that it cannot catch, such as bad code structure, coding practice, and test coverage.
The only way to catch such mistakes is to have an automated code review of your source code and set the outsourcing company’s benchmarks for every reporting. Luckily, many tools can help you control code quality, analyze the quality, and build useful reports. Here is an article that will help you automate code review processes.
Now you can get started with automating your code review process.
Sign Up with Codegrip and get started for Free!
Codegrip uses a robust AI-based database to collect and analyze source code for bugs, bad code, and possible violations of code-style policies. It examines and evaluates different aspects of your source code from minor styling details, potential bugs, and code defects to the critical design errors, lack of test coverage, and excess complexity.
In the end, Codegrip produces metric values and statistics, revealing problematic areas in the source that require inspection or improvement, allowing you to take more control of your outsourced projects. On average, our customers save a projected 30-50K USD/yearly that could have been incurred due to bad code and rework. Add to it the possibility of failed products or lawsuits, and the benefits become priceless.
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