Purpose
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To define the scope and the goals of the review.
To define the approaches used for each specific scope/goal combination.
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Diverse approaches can be used to do the review:
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representation driven
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information driven
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scenario driven
Representation-driven review
Obtain (or build) a representation of the architecture, then ask questions and reason based on this representation.
There is a wide range of situations here, from the organization that are very architecture-literate and will provide
some intelligible description to start with, to organizations where you need to identify who is the software architect
(even hidden under some other name), and need to extract the information from that person, to the place where software
architecture is a totally unknown concept. This process is then called "mining the architecture," and in practice looks
literally like that: digging it out the software or its documentation with a pickax, looking at source code,
interfaces, configuration data, etc.
One model that can be used to organize the representation is in the format of the architectural views presented in the
Software Architecture Document: the logical view organizes the main classes (the object model), the process view
describes the main threads of control and how they communicate, the development view shows the various subsystems and
their dependencies, the physical view describes the mapping of elements of the other views onto one or several physical
configuration. Organize issues alongside the various views.
Information-driven review
Establish the list of information-data, measurements-that is needed for the reasoning, get the information, and compare
this information to either the requirements or some accepted reference standard. This applies well for investigating
certain quality attributes, such as performance, or robustness.
Scenario-driven review
This is the systematic "what if" approach. Transform the general questions being asked into a set of scenarios the
system should go through and ask questions based on the scenarios. Example of such scenarios are:
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The system runs on platforms X and Y. (The real quality attribute probed is portability.)
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The system does this (additional) function F. (The real quality attribute is extensibility.)
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The system processes 200 requests per hour. (The real quality attribute is scalability.)
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The system is being installed on this kind of site by the user. (The real quality attribute is completeness or
usability.)
The advantage of such an approach is that it puts the task in a very concrete perspective, understandable by all
parties. It also allows to probe into omissions or flaws into the requirements, especially when the requirements are
informal or unwritten or very general and terse. The disadvantage is that it does not grab the architecture itself as
the object being reviewed, but takes the system as a black box into which we are only sending some probes.
In practice, things are not so clearly separated, and we end up doing a bit of all three approaches.
Identifying issues
Uncovering potential issues is mostly done by human judgment based upon knowledge and experience. Certain failure
patterns are repeated from project to project, from organization to organization. Certain heuristics can be used to
uncover problem areas. Check-lists can be useful (some very generic ones are proposed later), as well as results from
previous reviews, if any.
Capture potential issues as they appear, describing them in a neutral tone-no finger pointing, no
"catastrophism'. You may use little cardboard cards as do AT&T reviewers, or as we do with CRC cards, to help
prioritizing, organizing, eliminating.
Later, sort the candidate issues by decreasing scope or impact, and if there are many, tackle first the ones that are
directly related to the question at hand, leaving the "other suggestions" for later if time permits. Then assert the
reality of the problem: very often one can perceive a problem, but it may not be. We just have not spoken to the right
person, looked at the right piece of information. Sort again. Ensure multiple data points to verify the reality of a
problem. (Inexperienced assessors tend to be too single-threaded.)
When the problem has been confirmed, rapidly examine what could eliminate the problem, without necessarily trying to do
on-the-fly redesign of the system. Write down potential simplifications, reuse and alternatives (for example, buy vs.
build).
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