Integrated Solutions For Ports (ISFP)’s Post

Acceptance testing is also known as User Acceptance Testing (UAT). It is the final phase of testing before the software is released to the customer or end-users. The purpose of this testing is to ensure that the software meets the business requirements and that the end-user finds the system acceptable for real-world use. Other forms of acceptance testing include: Alpha Testing – Performed by internal staff at the developer’s site. Beta Testing – Performed by end-users in a real environment before the final release. So, the most common synonym for acceptance testing is User Acceptance Testing (UAT).

Acceptance Testing > In Acceptance Testing level a software system is tested for acceptability. The purpose of this test is to evaluate the system’s compliance with the business requirements Here, Acceptance basically two types, 1) Internal Acceptance Testing (Alpha Testing): It is conducted by members of the development organization who are not directly involved in the project, Usually, it is the members of Product Management, Sales and/or Customer Support people. 2) External Acceptance Testing / User Acceptance Testing (Beta Testing) is conducted by the end users of the software. Note: Acceptance Testing environment and System Testing environment almost all same, but Unit Test Environment and integration Test environment are different.

System Integration Testing (SIT) - A Complete Guide! 🔧 Struggling with system integration? Our complete guide to System Integration Testing (SIT) covers everything you need to know! Learn how to ensure all your systems work seamlessly together and avoid integration issues. #blogs #systemintegration #SIT #softwaretesting #Integrationtesting #techguide #insights #alphabin

Testing Pyramid The number of test cases typically varies by testing technique, with more granular tests generally having more test cases. Here’s the arrangement of testing techniques in ascending order based on the typical number of test cases: 1. Monkey Testing: Since it involves random inputs, the number of specific test cases is often not predefined and can be minimal in a formal sense. The emphasis is on randomness rather than structured test cases. 2. End-to-End (E2E) Testing: E2E tests cover entire user journeys and critical workflows, leading to fewer but more comprehensive test cases. 3. Integration Testing: This involves testing interactions between modules, resulting in a moderate number of test cases that cover different combinations and interactions. 4. Unit Testing: Unit tests focus on individual components and functions, leading to a large number of highly granular test cases to cover all possible scenarios and edge cases within each unit. #ps #publicissapient #publicisgroupe #testingpyramid #testingscope #unittesting #integrationtesting #e2etesting #monkytesting

Levels of Testing:  1. Unit Testing: Test individual components or modules.   2. Integration Testing: Test interactions between integrated components.   3. System Testing: Test the entire system against requirements.   4. User Acceptance Testing (UAT): Test the final system with real users for approval.  #SoftwareTesting #UnitTesting #IntegrationTesting #UAT

Dry runs before System Integration Testing (SIT) are crucial as they help identify potential issues early by simulating the SIT process in a controlled environment. This preparation ensures that the testing environment, data, and configurations are stable and mirrors production as closely as possible. Dry runs allow teams to validate that systems integrate correctly, test cases are properly defined, and any environmental or technical gaps are addressed before full SIT begins, ultimately reducing the risk of critical failures during actual testing and saving time on issue resolution.

Did you know: Defect clustering is a testing principle that suggests a small number of modules or functionalities typically contain most of the defects discovered during testing. This principle stems from the observation that software defects often concentrate in specific areas or modules due to factors like complex logic, frequent changes, or inadequate testing coverage. By focusing testing efforts on these critical areas identified through defect clustering, testers can prioritize resources effectively to improve software quality and reliability. #tester#QualityAssuranceEngineer#Softwaretesting

An interesting post by Vikas Mittal on behalf of GTEN, on what he phrases as "Manual Automation", and addresses this as a problem. In my work, I talk about **Partial Automation** and not as a problem but as a good thing. So, does my concept negate his? No, they are complementary. Here's how: - When I talk about automation, I stress on automation in testing, rather than just test automation. This thought dates back to 2004. - I encourage: **Start Small. Start Somewhere. Start Now/Today**, when it comes to solving problems, automation in testing is no exception. This is the basis for my 5E series of mental models. - The above thought is the basis of partial automation, which also considers the evaluation of automatability, cost, time, reward etc. - What Vikas addresses is the question "When?". After we have started, where do we stop? Where are we stuck? If the factors are in favour of further automation, is a mind block, lack of skills, motivation etc stopping us? That's my interpretation of how his post aligns with my own thought process, although at the surface they appear to be opposing thoughts. Context matters. #Testing #AutomationInTesting #Coexistence #Plurality

Automating logging of a bug ================== I would say defect logging post automation run (after investigating and confirming a failure as real product bug) - SHOULD remain manual. Logging a bug in right way for business to decide whether to fix or not AND developer to easily reproducing - requires human analysis and judgement. Please do not rush to automate this part.

🔺 QA Terminology Test. #14.🔺 What is System Level Testing in the context of software testing? Answers: A. This is a type of testing that tests each individual function of a program. B. This is a type of testing that evaluates the interactions between different components or modules of a program. C. This is a type of testing that tests the entire software product as a whole to ensure that it meets the requirements. D. This is a type of testing aimed at checking the performance of a program under different loads.