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Q. Explain Predictive validity?
Predictive validity: It is the potential of the model to predict future failure behaviour from present and past failure behaviour. This capability is important only when failure behaviour is changing. There are two universal ways of viewing predictive validity based on the two equivalent approaches to characterizing failure random process namely
1. The number of failure approach as well as
2. The failure time approach.
We can visually ensure the predictive validity by plotting the relative error against the normalised test time.
Name the commonly used architectural styles. i. Data centered architecture. ii. Data flow architecture. iii. Call and return architecture.
Explain fully the application of artificial intelligence
What are the causes behind to perform white box testing? There are three main reasons behind performing the white box testing. 1. Programmers may have some incorrect assumpt
What are the types of metrics? Direct metrics - It refers to right away measurable attributes. Example - Lines of code, execution speed. Indirect metrics - It refers
risks and types of software risks
IMPORTANT ISSUES SRS MUST ADRESS
Write short notes on estimation models. Empirical estimation models can be used to complement decomposition techniques and present a potentially important approach in their own
Token count: - A program is considered to be series of tokens and if we count the number of tokens, some interesting results might be emerge. Tokens are classified as either opera
What is Parkinson's Law? Parkinson's Law states that work expands to fill the time available. The cost is fixed by available resources rather than by objective assessment.
Write short note on black box testing. The black box testing is also known as behavioural testing. This method fully focuses on the functional needs of the software. Tests are
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