In a recent article at the CACM, Dobing and Parsons report on the analysis of a UML usage survey (182 respondents) . 171 responses came from UML users and 11 came from partial UML users.
Of the several findings of the article, I would like to stress the following ones:
1) Respondents, on average, have been involved in 27 projects, of which only 6.2 used UML.
2) Class Diagram (73%) is the most frequently used technical description, followed by Use Case Diagram and Sequence Diagram.
3) Use Cases Narratives (87%), Activity Diagrams (77%) and Use Case Diagrams (74%) are the preferred means with regard to client involvement.
4) Class Diagram (93%), Sequence Diagram (91%) and Statechart Diagram (82%) are the preferred means with regard to clarify technical understanding.
7) In asking the question, “reasons for not using some UML components”, some findings are intriguing:
a. 50% said that Class Diagrams were not well understood by analysts, 48% said that Activity Diagrams were not well understood by analysts.
b. 42% said that Statechart Diagrams were not useful for most projects.
c. 42% said that Use Case Diagrams have insufficient value to justify cost and that were not useful with programmers.
d. 49% said that Collaboration Diagrams would capture redundant information.
8) “The median “typical” UML project had a budget of around $1, 000,000 and 6.5 person-years and required 50,000 lines of code”
1) Although being the most used UML component, Class Diagram is also the top misunderstood component! If the data collection and treatment is trustful, then this looks like to be a major contradiction. How a team would claim to use UML, and as such be object-oriented, if their team members do not understand the Class Diagram?
2) Of respondents´previous projects, 27 (average), only 6, 2 (23%) used UML!
3) Use Case Narratives were preferred over Use Case Diagrams as a way to communicate with clients. This is a surprise, since common belief is that Use Case Diagrams, given its iconic character, is the most used medium by OO developers when dealing with clients.
4) The data collected by Dobing and Parsons shows a productivity of 7,692 lines of code per year. Above to the industry averages of 2001, according to Gartner ( as cited in the Msdn Blog by EldarM), which is of 6,200. This brings the productivity at the rate of 32 LOC per day per person (240 working days). Of course, it is widely known that LOC is not the best productivity measure, since different context yields different numbers.