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It requires you to develop an information system
model for a system of your own choice. The aim is to get you to apply many of the system analysis and
modelling techniques discussed and illustrated in lectures and tutorials to a real, or at least realistic, case of
non-trivial but still reasonable and do-able complexity.
Choosing your system
As stated in the Introduction, the choice of which system to analyse and model is up to you. However, here
are some rough guidelines to assist you in your choice:
1 Try to choose a system for an area or application about which you know a considerable amount or
about which you are in a position to find out what you need to know. Examples might be a system
related to your current work (if you are presently employed) or previous work experience, a hobby or
interest that you have, or perhaps a system that you or a colleague or friend needs. My experience
in running earlier versions of this course shows unambiguously that this assignment will work best
(and you will learn the most from it) if you choose to analyse and develop a model for a system that
relates to the “real” world in some way, rather than one that is completely fictional and invented
entirely “within your own head”.
2 Try to choose a system of a reasonable size and level of complexity. This will probably be hard to
judge initially, but it is generally better to choose a system that is more likely to turn out to be too big
or complex rather than one that may turn out to be too small or simple. The reason for this is that, if
your choice does turn out to be too big or complex, you can always reduce the scope of your
intended system or choose to model only part of it. On the other hand, if your choice turns out to be
too simple and small to form a useful assignment exercise, it is generally harder to expand it to make
it more suitable as a worthwhile learning experience as well as the basis for an acceptable
assignment submission. Although we won’t discuss these metrics until mid-way through the course
(so they will be less useful to you at the beginning), one useful indicator of size and complexity of a
project is the number of entities in its data model. If this turns out to be somewhere around 6-8 for
your project then you probably have a suitably sized system for this assignment, although these
numbers should definitely not be treated as hard limits. However, if the number of entities in your
data model is significantly fewer than 6 then the model is probably too small and simple to be a
useful learning exercise; and if it is many more than 8 then it is probably starting to get too large to
feasibly tackle. Another indicator is the number of levels you find yourself going down to in your DFD
hierarchy. If this is more than two for the first few processes you decompose, and there are more
than about seven processes on your level 0 diagram, then your chosen system is highly likely to be
too big and you may have to reduce its scope or simply leave parts of the model incomplete.
Your tasks and deliverables
Your second assignment deliverable is a mid-project progress report. This is to be provided digitally via
Wattle and carries a weighting of 10% of the total project mark. In fact, calling this deliverable a “progress
report” is somewhat misleading since it is not to be a formal report describing what progress you have made
to date but is rather to show what progress you have made by providing all of the (no doubt unfinished,
incomplete, draft and still developing) analysis work that you have done on the project so far. And again, like
the first deliverable, what you provide here will form the basis on which you will build the relevant sections of
your final assignment deliverable (see below).
The third and final deliverable for this assignment, worth the remaining 85% of the total project mark, is a
report (submitted digitally via Wattle) containing the following:
1. An Introduction that describes the overall background and rationale for the system you have chosen
to model. In writing this Introduction you should assume that your reader has little or no knowledge
of the application area and system with which you are dealing and this Introduction should therefore
take your reader to a point where she/he has enough information to fully understand all the material
that follows. This will, of course, be based on what you provided for the first project deliverable (see
2. A section describing the scope, functions, constraints, and any other relevant features that apply to
the system you have chosen to model. Be careful, in writing this as well as the following section, to
avoid focussing on matters that are primarily technical. Remember that it is analysis you are
supposed to be doing, not design or implementation, and this is largely a business-oriented activity
dealing with what the system should be doing rather than how it is eventually going to do it.
3. A section presenting the detailed user requirements that form the basis for your model of the system.
While it is not always possible, generally the best projects are those that have real potential users
(other than you!) for the system you are analysing and modelling and with whom you need to interact
to develop the list of detailed system user requirements.
4. A section documenting the actual models you have constructed. This is to include process, logic and
data models. The process model is to be constructed using the DFD technique and should, at least
for several processes, extend all the way down to a primitive DFD together with its associated logic
model. The data model is to be constructed using the ER diagramming technique. You are also to
provide a data dictionary in which the meanings of all the important terms in your model are
5. A section in which you provide either a UML version of your system model or a “Soft” analysis of the
context in which your system development would take place, whichever is more appropriate for the
system with which you are dealing in your project.
NOTE: If you believe it is appropriate, you may include both a “Soft” analysis and a UML version of
your system model. If you do opt to include both, you will be eligible for bonus marks up to 10% of
the value of the whole assignment. That is, if you provide both a UML version of your model and a
“Soft” analysis for your project then your maximum possible mark for the project as a whole will be
66 rather than 60. A word of warning is appropriate here, however: I will be more impressed by a
project that does a good and thorough job of the required work as opposed to one that attempts
everything, and as a result does a poorer quality job on all of it. A good quality basic assignment
without the inclusion of the optional extra material will most likely earn more marks than a poorer
quality one that attempts everything.
6. Lastly, a section in which you reflect on your analysis work and discuss what you learned about the
analysis process as well as any difficulties you faced and how you overcame them, and any other
interesting points that emerged from your assignment work. Please also include, in this section, your
thoughts on the value of the assignment as a learning tool for this course, and any way(s) in which
you think it could be improved.
If you have difficulty in deciding what would be an appropriate system to model, or are having other trouble
deciding what to do, please discuss it with me before you set out too far in your work.
You may use an appropriate CASE tool to assist you in your work, in fact, it is STRONGLY recommended if
you can obtain or have access to one, but it is not essential for the purposes of this assignment. As the work
needs to be submitted digitally via Wattle uploaded, any hand-drawn materials will need to be scanned and
included in your assignment upload file (Word document or PDF).
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