Answer:
In c# Dictionary is the collection of keys and value .The dictionary is a generic collection class which is in the System.Collection.Generics namespace. we can represent dictionary like that Dictionary<TKey, TValue> where TKey represent the type of key and TValue is the type of TValue.
Following are the example which represent dictionary as integer and string
using System.Collections.Generic; // namespace
class Test // class test
{
static void Main() // main method
{
var ob = new Dictionary< int,string>(); // type integer and string
dictionary.Add( 2,"hello");
dictionary.Add(143,"hello1);
// The dictionary has 2 pairs.
Console.WriteLine("DICTIONARY 1 " + ob.Count);
}
}
Output:
DICTIONARY 1 :2
Explanation:
In this program we create a dictionary generic class which is integer and string type after that we add the elements in the dictionary by "dictionary.Add method " and finally print the count of dictionary
Answer: Scope creep
Explanation:
Scope creep in the project management basically refers to the uncontrolled development or growth in the project creep. It basically occur when the project scope are not appropriately defined.
It usually involve lack of change in the control system and increase the complexity of the project. It is also has poor requirement analysis.
So, that is why it is the biggest problem we usually face in the project management.
Don't click on this I am testing... I want the points so.
Answer:
Basically, dealing with the "software crisis" is what we now call software engineering. We just see the field more clearly now.
What this crisis was all about is that in the early days of the modern technological era -- in the 1950s, say -- there was tremendous optimism about the effect that digital computers could have on society, on their ability to literally solve humanity's problems. We just needed to formalize important questions and let our hulking "digital brains" come up with the answers.
Artificial intelligence, for example, had some early successes in easy to formalize domains like chess and these sorts of successes led to lots of people who should have known better making extremely naive predictions about how soon perfect machine translation would transform human interaction and how soon rote and onerous work would be relegated to the dustbin of history by autonomous intelligent machines.
Answer: Sorry to break this to you but you can't.
Explanation:
