As an enterprise, you want all your products to be the best ones present in the market. You want to satisfy your customer’s expectations as well as surpass them by providing a seamless experience. But, achieving application software that is quintessentially what your customer needs is a robust process. Along with other things, one of the most important factors that guarantee the success of your application software is a bug-free experience.
Bugs and little tiny defects can easily crawl up your software without you even realizing about it. No matter how good your coders are, bugs are a normal part of the software or the update being built. When you compile different modules of a program together, there might be some conflicts that arise. In other words, you need to know that a class defined in your code for a particular purpose serves its function. You must pay attention to them. And that’s where software testing comes into the picture.
The Code Analysis Process
Software testing is a combination of both manual and automated testing. Even though automation has swept all industries by now, manual testing is one of the things that cannot be removed entirely. Also though many manual processes have been automated now, some manual testing services are still active in organizations. The point comes from the fact that application software is designed for humans and not machines. Even though automated testing services have, to a great extent, been able to test various parts of the software, it is manual testing that ensures a more human-like experience. One of the essential elements of the software is its user interface. Manual testing guarantees that the user interface is stable and easily understood by the target users of the software. But, it is a tiresome task.
The process of code analysis has quite a few benefits in the software development life cycle. It is a necessary item that guarantees agility and detects any possible failures or defects arising in the source code. Be it developing an entirely new application or updating existing ones. Code analysis is a must in all scenarios where you are handing over something new to the customer.
• It detects spaces of the code where refactoring or simplification must be done.
• It can quickly fix bugs in the early software development life cycle, which leads to less expenditure on testing.
• Code analysis improves the overall quality of the code, thus ensuring a proper performing application.
• One of the essential benefits of code analysis is that it can be used to define some project-specific rules which can be implemented over and over again without the need for manual intervention.
Even though many tools in the market helps gain more visibility to the code, no process could automatically address the issues flagged by the code analysis process. Organizations can make use of different data insights that they obtain from multiple tools, but it remains a difficult task and puts a lot of pressure on manual testing services.
Code Quality Gates and Manual Testing
Therefore, there must be some other way by which the standard of a project can be maintained, and manual testing services can be out to rest to some extent. Welcome code quality gates - the key to ensuring and maintaining standards in the code across all projects in an organization. In other words, quality gates for your codes can be defined as the threshold measures that are set on your project. Depending on the nature of business and plan, there can be many conditions imposed on the quality gates. Some of these include code coverage, number of blocker issues, security ratings, unit test pass rate etc.
Quality gates for your code can help decrease dependency on manual testing services in a plethora of creative ways. Anyone familiar with the software development life cycle knows that the cost of finding and fixing software defects increases 10X the further you progress towards the life cycle. Believe it or not, it is a terrifying thought.
Organizations know firsthand how little bugs and defects can cost thousands of customers and take a steep toll on the revenue. As we progress into the future with more and more companies coming up with cutting edge solutions, the implications of customer-impacting incidents tend to get more serious. This is where code quality gates benefit an enterprise.
Code quality gates can be called as a left shift approach that can help organizations pay attention to the quality of their code at earlier stages of the software development life cycle.
A majority of organizations adopt CI/CD tools and practices for agility. When done aptly, these can also help in establishing code quality gates, ultimately resulting in a decreased dependence on manual testing services.
One of the best hacks can be to incorporate test automation in the development pipeline. Once organizations have exact test and code coverage, they can optimize their pipeline for quality by gating builds based on several types of errors. While manual testing services do a majority of work in finding new errors, they also have to ensure there are no system slowdowns with code quality gates in the picture, all of these can be taken care at a much earlier stage of the development.
• New Errors: Quality gates help analyze the code for any new errors that weren’t prevalent in the software.
• Increasing Error Rate: One of the fundamental questions in the development life cycle is knowing whether the rate of a known error risen significantly in the latest release. Code quality gates can be set up to see the answer to this question and decrease a manual tester’s task.
• Slowdowns: One of the primary tasks in manual testing includes finding any strikes or failed transactions that impact the system. Code quality gates can be set up so that the optimal performance of an application is ensured right from the beginning.
Code quality gates can be configured based on the code-level issues in your application. Organizations can finally begin testing pieces of code for an upcoming release earlier in the process. This can help in increasing the feedback and leaving more time to detect and fix errors without disrupting any deadlines. Ultimately, it reduces the manual testing methods of an organization and adds more accountability to the development team.