Testing starts during development but unit testing and end to end testing specific changes. Next would be integration test of all changes togeather.
Regression testing is used to ensure new changes are not breaking already established and working code.
UAT is the requirement of code quality to be accepted by the user. It must meet a baseline in order to be promoted to a production environment
Automation is a tool you can use to perform some of these tasks, but its not a test process. Not to be rude but it would appear you need a lesson in how Test process works and what needs to happen to ensure code quality.
Manual and Automation testings have important roles to play but one needs to be aware of when to make use of the right one.
Time Consumption and Cost to the Company
In a project where the content is large and the testing phase runs for quite a long time, automation testing is the perfect choice since
It reduces the number of resources required.
Multiple types of similar test case scenarios can be executed simultaneously with a single script.
For a large project, the estimated budget is sufficient enough to afford the setup and maintenance of an automated testing tool. However, in small projects where the testing phase runs for only a few weeks, Manual testing is more preferable since:
False Positives and False Negatives- A false positive is a scenario where the system is fundamentally working fine but the automation scripts show otherwise. This could cost a tester a huge amount of his time and money for finding something which doesn’t even exist. Vice-versa, a false negative is a scenario where the automation script declares the system to be working fine when in reality, it isn’t! This happens if the initial stage of a database is inaccurate or if test environment settings are abrupt due to network issues. So even if you do have automation testing the accuracy of test results will still not be guaranteed.
Cloud Computing Softwares are vastly dependent on automated testing tools. The reason being that the resources shared on the cloud is supposed to be accessible by anytime, anywhere and by anybody with an internet facility. So testing whether your software is working as intended all day & everywhere could not only be very tedious and faulty if done manually. But it could also be highly time-consuming. If you are worried about your product instability and have a long list of test cases to perform on daily basis then automation testing can ease your life.
Regression testing is made considerably effortless with the help of automated scripts.
You can use a platform like QAppAssure which allows you to test on-cloud and on-field devices, across 100+ device, make and models, Integrate with Jira, CI/CD tools, and also use Appium, Calabash, Espresso, UIAutomator, XCUITest.
Employ following task to minimize the production defects in software development:
Change the Groupthink Regarding Defects
Thoroughly Analyze Software Requirements
Practice Frequent Code Refactoring
Perform Aggressive Regression Testing
Execute Defect Analysis
Consider Continuous Changes
Integrate Error Monitoring Software
When it comes to software development and defects during production, the only thing that I believe restricts the testers to explore every component leading to defects is some stereotypes. Though there are certain best practices made to improve the process, it is vital that testers should change their approach about defects to explore new dimensions of the product.
Furthermore, defect analysis should begin with QA services taking over the requirements of the product so that product can be tested for defect analysis after rapid regression testing sessions. This would help testers to learn any possible areas of fault and change the programming to improve the outcomes.
There are numerous ways to reduce production defects. To avoid those we have to follow these steps.
Peer code reviews – static testing.
Test in a QA environment.
Perform regression testing.
Effective production defect tracking.
Empower testers to make project recommendations.
Add a warranty period.
There are several approaches to reduce production defects in software development. Here are some of the best ones:
Code reviews: Code reviews involve having other developers review code for errors, inconsistencies, and other issues. This helps catch defects early in the development process. 1. Automated testing: Automated testing involves using software tools to test the code and identify defects before it is released to production. This helps catch defects before they become a problem for end-users. 2. Continuous Integration/Continuous Delivery (CI/CD): CI/CD involves automating the build and deployment process to ensure that code is thoroughly tested before it is released to production. 3. Pair programming: Pair programming involves having two developers work on the same code simultaneously. This helps catch defects early and ensures that code is reviewed thoroughly. 4. Requirements gathering: Clearly defining and documenting requirements helps ensure that developers are building the right thing and reduces the likelihood of defects caused by misunderstandings. 5. Root cause analysis: Conducting root cause analysis on defects that do occur can help identify the underlying causes and prevent similar defects from happening in the future. 6. Training and education: Providing developers with ongoing training and education can help them stay up-to-date with best practices and new technologies, which can help reduce defects.
Overall, a combination of these approaches can help reduce production defects in software development. It is important to have a culture of quality and continuous improvement, and to prioritize defect prevention over defect detection.
Reducing production errors is an important goal in software development since it may lead to higher product quality, lower costs, and more customer satisfaction. Here are some of the most effective techniques for achieving this goal:
1. Emphasize on quality from the beginning
2. Implement Agile methodologies
3. Use automated testing
4. Conduct thorough code reviews
5. Improve communication
6. Invest in training
You may drastically minimize the number of faults in your software manufacturing process and provide high-quality solutions that match your customers' demands by applying these tactics.
In custom software development, minimizing production defects is crucial for delivering high-quality solutions. To achieve this, several effective approaches can be employed:
Comprehensive Requirements Analysis: Thoroughly understand client needs to minimize misunderstandings and ambiguities in the project scope.
Agile Development: Embrace iterative development and continuous testing to catch defects early and adapt to changing requirements.
Code Reviews: Implement rigorous peer code reviews to identify and rectify issues in the source code.
Automated Testing: Utilize robust testing frameworks and automated test suites to validate functionality and pinpoint defects.
Continuous Integration/Continuous Deployment (CI/CD): Implement CI/CD pipelines to automate testing and ensure code quality throughout development.
Documentation: Maintain clear and up-to-date documentation to aid troubleshooting and reduce human error.
Training and Skill Enhancement: Invest in continuous skill development for the development team to stay updated with best practices and technologies.
Client Collaboration: Regularly involve clients in the development process to gather feedback and adjust accordingly.
By incorporating these strategies into custom software development, organizations can significantly reduce production defects and deliver software that meets or exceeds client expectations.
Here are some points which can help you reduce prod defects
Implement automated testing, including unit tests, integration tests, and end-to-end tests.
Embrace code reviews and pair programming for early issue identification.
Use version control and continuous integration to catch issues early.
Prioritize clear requirements and user stories.
Enforce coding standards and best practices.
Promote a culture of quality and responsibility.
Monitor and analyze production data for anomalies.
Invest in proactive monitoring and alerting systems.
Conduct thorough regression testing after changes.
Implement a robust deployment process with rollback plans.
StickyMinds is a TechWell community.
Through conferences, training, consulting, and online resources, TechWell helps you develop and deliver great software every day.