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- Determining if the system complies with the requirements and performs functions for which it is intended and meets the organization's goals and user needs.
- Validation is done at the end of the development process and takes place after verifications are completed.
- It answers the question like: Am I building the right product?
- Am I accessing the right data (in terms of the data required to satisfy the requirement).
- It is a High level activity.
- Performed after a work product is produced against established criteria ensuring that the product integrates correctly into the environment.
- Determination of correctness of the final software product by a development project with respect to the user needs and requirements.
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How critical is validation when it comes to program performance?
Validation should always be considered in a software program. The amount of validation depends on what the program is doing, and how it is doing it. If the validation is a small percentage of the overall program then it doesn't matter much how efficient it is in terms of performance. There are good and bad ways (actually inefficient ways) to do validation. If you instrument a program and find that a significant portion of the time is spent in validation you may want to visit the algorithms used in the validation to see if there is a more effective way to do this. In some cases the performance of validation of data is very important; in other cases it is a side-effect.
What is requirement validation?
Requirements validation is a critical step in the development process, usually after requirements engineering or requirements analysis. Also at delivery (client acceptance test).
What are the four evolution of software engineering?
upgradation of old softwares. e.g- anti-viruses. provides opportunities for new jobs and latest requiremants. provides better interfacing between hardware & software.
When does CMM applied in software validation and verification?
CMM verifies the quality of the overall software development process beginning from problem definition. Software validation and verification are the subitems of CMM.
Data validation best refers to?
Data Validation is a process that ensures that data entered into the database form, a web form, or a computer program conforms to the correct data type.
What typically involve actual testing?
validation
What stage of testing is field level validation done?
in system level stage field level validation down.
What are the various testing methods?
1.verification 2.validation
Difference between verification and validation in software testing?
verification: Are we doing the right system? validation : Are we doing the system right?
How can you get an Icteric sample for validation testing?
Not clear what the question is about, please clarify
What are the key differences between validation testing goals and acceptance testing goals?
In validation testing, the test team seeks to ensure that each software function or performance characteristic conforms to its specification. In acceptance testing, the test team needs to ensure that the software works correctly for the intended user in his or her normal work environment.
What is the difference between validation testing and system testing?
Validation testing is to test software if it meets its stated requirements. System testing is the testing of Software and Hardware together and to find out they both can work together to be successful application.
What is the normal order of activities in which software testing is organized?
unit ,integration, validation then system
What is the normal order of activities in which traditional software testing is organized?
unit ,integration, validation then system
Which kind of validation testing might lead to rescheduling some processing to other parts of the day?
Backup and recovery
What is the differences between standard and benchmark in education?
Standard testing is more so based on judgment and can be adjusted through validation. Benchmark testing is multiple criteria for judging success.
Why is it still necessary to validate research instrument though testing its reliability has been done?
Validation of research instruments is necessary even after testing its reliability because it is the only way to ensure that the results of the study are accurate and meaningful. Validation involves collecting data from research participants examining it and analyzing it to determine if the instrument is measuring what it was designed to measure. Validation is also the only way to ensure that the instrument is reliable and that the results are trustworthy and valid. Here are a few reasons why it is still necessary to validate research instruments even after testing its reliability: Validation helps to ensure that the results of the study are accurate and meaningful. Validation helps to determine if the instrument is measuring what it was designed to measure. Validation ensures that the instrument is reliable and that the results are trustworthy and valid. Validation helps to identify potential sources of bias in the instrument or the data. Validation helps to identify any gaps or weaknesses in the instrument or the data.Validation is an important step in the research process as it helps to ensure that the results of the study are valid and can be trusted. Without validation it is impossible to know if the research instrument is measuring what it was designed to measure and whether the results are reliable and trustworthy.
