In the Analysis phase of the SecSDLC, the team studies documents and looks at relevant legal issues that could affect the design of the security solution.
<h3>What is this stage about?</h3>
This is known to be the phases of development where there is Analysis or one can say requirements gathering and where one has clearly set out problem or project as well as others.
Note that In the Analysis phase of the SecSDLC, the team studies documents and looks at relevant legal issues that could affect the design of the security solution.
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Answer:
Stands for "Graphical User Interface" and is pronounced "gooey." It is a user interface that includes graphical elements, such as windows, icons and buttons. The term was created in the 1970s to distinguish graphical interfaces from text-based ones, such as command line interfaces.
Explanation:
The graphical user interface is a form of user interface that allows users to interact with electronic devices through graphical icons and audio indicator such as primary notation, instead of text-based user interfaces, typed command labels or text navigation. A GUI allows the user of a computer to communicate with the computer by moving a pointer around on a screen and clicking a button. ... A program on the computer is constantly checking for the location of the pointer on the screen, any movement of the mouse, and any buttons pressed.A GUI uses windows, icons, and menus to carry out commands, such as opening, deleting, and moving files. Although a GUI operating system is primarily navigated using a mouse, a keyboard can also be used via keyboard shortcuts or the arrow keys.
Answer:
The answer is nearest-neighbor learning.
because nearest neighbor learning is classification algorithm.
It is used to identify the sample points that are separated into different classes and to predict that the new sample point belongs to which class.
it classify the new sample point based on the distance.
for example if there are two sample points say square and circle and we assume some center point initially for square and circle and all the other points are added to the either square or circle cluster based on the distance between sample point and center point.
while the goal of decision tree is to predict the value of the target variable by learning some rules that are inferred from the features.
In decision tree training data set is given and we need to predict output of the target variable.
Explanation:
Answer:
test whether a user entered a value
