Como você pode gerenciar o teste do sistema em um projeto de grande escala?

One of the important key when working on large scale systems integration is syncing between the different groups and activities. To bring the sub systems to ability of working together. For that the large systems integration manager would need to forecast and build the way.

Before you start system testing you need to have a clearly defined architecture of the system. And its major interfaces. Once that is clear and understood you can move to defining the scope and objectives, criteria and resources. The test environment will need to be prepared as necessary depending on the functions that can be tested within the environment. Boundary and responsibilities will need to be defined and agreed. Testing requires the involvement of several departments collaborating to achieve the objectives defined in the program and plan.

Managing system testing in large-scale projects involves strategic planning, establishing test environments, designing comprehensive test cases, executing tests, and effective defect management. It ensures the system meets quality standards and involves stakeholders throughout the process.

By clearly outlining these aspects, the team can focus on key areas like ensuring the website can handle high traffic volumes, secure transactions, and provide an intuitive user interface. This targeted approach helps in optimizing testing resources, prioritizing critical test scenarios and setting measurable objectives, such as reducing load times or achieving a specific threshold for transaction security.

Defining the scope and objectives sets clear boundaries and goals, ensuring that the testing team focuses on what's crucial. This clarity prevents resource wastage on non-essential aspects and aligns the team's efforts with the project's core requirements. It's also essential for stakeholder alignment, as it communicates what will be tested and what outcomes to expect, reducing misunderstandings and setting realistic expectations. Properly defined scope and objectives are the foundation for effective and efficient testing processes.

In my experience, I've faced challenges in large-scale project deliveries, with over 90% of issues stemming from deployment rather than design. Occasionally, design errors led to critical problems, impacting clients financially. Besides standards, to address these issues, I follow a checklist: - BoQ list ready with models. - Ask colleagues for their thoughts on the overall system design for diverse perspectives. - Prioritize planning, addressing both small and large aspects simultaneously for a holistic understanding of the project. - Prepare a testing environment, pushing the system to its limits. - Document all aspects comprehensively. - ALWAYS have "roll back" plan. - Be ready to execute all planned tests when you enter the field.

Test strategy and plan should be designed based on the Requirement traceability matrix. Study and find the scope of the objective in sprint plan. design the use case scenarios towards the functional , performance and security test cases configure the testing tools and environment. define the entry and exit criteria with actual and expected outputs.

1. check and prepare the proper input and output data. 2. check the configurations of the environment and the testing tools. 3. run a test to check if all is good w.r.t environment.

In a cloud-based application, I employed unit tests to simulate API responses and database interactions, focusing on individual components before integration testing using Python unittest framework. This approach, along with continuous integration tools like Jenkins, allowed for real-time monitoring of test efficiency and defect resolution, ensuring a high-quality, robust final product.

Analyzing test results is key to assessing system quality. For instance, in a cloud application project, after completing tests, I compared outcomes with expectations and standards. This involved scrutinizing functionality, performance, reliability, security, and usability. Identifying the root causes of issues, like a specific function's failure under load, was crucial. Additionally, evaluating the testing process's accuracy and timeliness was essential. For example, ensuring test cases covered all features and were executed within the project timeline. This holistic approach guarantees not only a robust system but also a refined testing process for future projects.

In my experience first of all create a traceability matrix to map the feature requirements then create test cases for the features you are going to do the system testing and map them to the traceability matrix. Then focus on high-risk areas first & execute test cases systematically and monitor progress regularly. Try to implement automation testing wherever possible as it will reduce testing efforts as well as ensure that the system remains stable as new features are added. Always maintain transparent communication and collaboration between development, testing, and other project stakeholders. Maintaining open channels serves as a platform to discuss progress, share insights, and make informed decisions based on the testing outcomes.

It is crucial to adopt a structured and comprehensive approach. Begin by establishing clear testing objectives, defining test cases, and ensuring adequate coverage of the system's functionalities. Implement rigorous test execution, including, and conduct thorough regression testing to identify potential issues. Leverage automated testing tools where applicable to enhance efficiency and accuracy. Effective collaboration among testing teams, clear communication of test results, and prompt issue resolution are key to successfully managing system testing in a large-scale project. Regular feedback loops and continuous improvement processes should be integrated to refine testing strategies as the project progresses.

To improve the testability of a system the system design must be kept modular and test points should be integrated in the design in the first place. The acceptance test procedures(ATPs) should be a part of the design flow. The test points and ATP should be agreed and documented at the Preliminary Design Report (PDR) level. The ATP help in reducing the conflicts and in improving the testing of a large system. Test points together with the ATPs help in identification of the fault in a system and the modular design help in fixing the system by providing replace-ability.