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Kevin Nelson devry university MGMT340 problems/exercises Kevin Nelson devry university MGMT340 problems/exercises Chapter 5:
One of the potential problems mentioned in this chapter with gathering information requirements by observing potential system users is that people may change their behavior when observed. What could you do to overcome this potentially confounding factor in accurately determining information requirements?
Many people that know that they are being observed do not always accurately give an account of their daily activity so in order minimize this you want to choose both typical and atypical people to observe in both typical and untypical sites being observed under normal and abnormal conditions. This will allow the data to be less restrictive and give the observer a better range of observations of the users. Suppose you were asked to lead a JAD session. List ten guidelines you would follow in playing the proper role of a JAD session leader. 1. You would conduct a session off-site. 2. Invite people that would be part of the system design and users. 3. You would establish a clear set of ground rules for the session. 4. You would make sure that you set and follow a clear agenda for the session. 5. Before beginning the session you would pass out the agenda. 6. You would remain neutral on all issues. 7. Give every member of the session a chance to participate. 8. Give everyone a chance to be creative in their ideas. 9. Make sure that the time spent is effective and no time is wasted on outside topics. 10. Conduct a follow up with your notes derived from the meeting.
Chapter 6:
Consider the DFD in Figure 6-20. List three errors (rule violations) on this DFD. 1. The data cannot move directly from a source to a sink 2. No process can have only inputs. 3. Data cannot move directly from an outside source into a data store.

Consider the three DFDs in Figure 6-21. List three errors (rule violations) on these DFDs. 1. No process can have only outputs. 2. A process must have a verb-phrase label. 3. A fork in a data flow means that exactly that the same data goes from a common location to two or more different processes, data stores, or sources/sinks.

References:
Valacich, Joseph S., George, Joey F., Hoffer, Jeffrey A. (2012). Essentials of systems analysis and design, fifth edition. Pearson Education, Inc. Chapter 5 and 6

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