About the context variables, we have the following matrices. In parenthesis, the total number of instances located in this particular context variable is written. Those context variables are the ones which we used to divide the datasets into subsets.
It is difficult to see a pattern here. In each case, there is one dominant column (or context variable) from which most of the instances are selected. On the other hand, this particular column is not the most densely populated context variable. Therefore:
1) Center (for nasa93), development type (for cocomo81) or development language (for desharnais) are influential context variables
2) There is one particular context variable from which always most of the instances are selected but this context variable is not the most densely populated one, so size is not a dominant indicator either.
It is difficult to see a pattern here. In each case, there is one dominant column (or context variable) from which most of the instances are selected. On the other hand, this particular column is not the most densely populated context variable. Therefore:
1) Center (for nasa93), development type (for cocomo81) or development language (for desharnais) are influential context variables
2) There is one particular context variable from which always most of the instances are selected but this context variable is not the most densely populated one, so size is not a dominant indicator either.
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