Guide to Advanced Empirical


Frequency and distribution questions



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2008-Guide to Advanced Empirical Software Engineering
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Frequency and distribution questions
such as, How often does X occur and, What is an average amount of X Often, these questions can be answered in terms of a standard distribution of a characteristic within a well-defined population. Joe’s original question appears to be a frequency question, but there are many ways for him to formulate it more precisely. For example, he might ask,
“How many distinct UML diagrams are created in software development
projects in large software companies?” and he might discover the results follow some standard statistical distribution.

Descriptive-Process questions
of the form, How does X normally work, What is the process by which X happens, In what sequence do the events of X occur, What are the steps X goes through as it evolves, How does X achieve its purpose. For example, Jane might ask, “How do programmers
navigate files using existing tools?”
Often, we are interested in the relationship between two different phenomena, and specifically whether occurrence of one is related to occurrence of the other. Hence we need to formulate some:

Relationship
questions
such as, Are X and Y related and, Do occurrences of X correlate with the occurrences of Y For example, Jane might ask, “Does


11 Selecting Empirical Methods for Software Engineering Research
289
efficiency in file navigation correlate with the programmer’s familiarity with the
programming environment?” Joe might ask, “Do managers claims about how
often they use UML correlate with the actual use of UML?”
Once we have established that a relationship exists between two phenomena, it is natural to try to explain why the relationship holds by attempting to identify a cause and effect. It is a common mistake to confuse correlation with causality. In general it is much harder to demonstrate causality than to show that two variables are correlated. If high values of X correlate with high values of Y, it maybe because X causes Y, or because Y causes X. But it is also possible that X and Y share some common cause and neither causes the other. Or perhaps they co-evolve in complex ways so that there is no clear cause-and-effect. Causality questions include:


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