Why is complete path coverage considered to be an infeasible structural graph coverage criterion? Complete path coverage could be infeasible if the graph has several disconnected components. Complete path coverage could be infeasible if the graph has strongly connected components or loops. Complete path coverage could be infeasible if the graph has isolated vertices or edges. Complete path coverage could be infeasible as covering all paths in a graph through test cases is not needed.
Question
Why is complete path coverage considered to be an infeasible structural graph coverage criterion? Complete path coverage could be infeasible if the graph has several disconnected components. Complete path coverage could be infeasible if the graph has strongly connected components or loops. Complete path coverage could be infeasible if the graph has isolated vertices or edges. Complete path coverage could be infeasible as covering all paths in a graph through test cases is not needed.
Solution
Complete path coverage is considered an infeasible structural graph coverage criterion for several reasons:
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Disconnected Components: If the graph has several disconnected components, it would be impossible to cover all paths as there would be no path connecting these components.
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Strongly Connected Components or Loops: In the case of strongly connected components or loops, the number of paths can be infinite. For example, if there is a loop in the graph, one could theoretically keep going around the loop an infinite number of times, creating an infinite number of paths.
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Isolated Vertices or Edges: If the graph has isolated vertices or edges, these cannot be included in a path, making complete path coverage impossible.
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Unnecessary Coverage: Covering all paths in a graph through test cases is not always needed. In many cases, it is more efficient and effective to focus on the most important paths rather than trying to cover all possible paths. This is especially true in large, complex systems where complete path coverage would require a prohibitive amount of time and resources.
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