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Learn about design heuristics for system architecting and explore popular rules and lessons for sound and practical systems. Understand the importance of simplicity, customer needs, and iterative development. Discover key principles and guidelines to enhance system reliability and reduce costs.
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During the last lecture … • We became familiar with the various phases of the process that developers follow to develop SW systems of reasonable complexity • We looked at a couple of problems related to the Waterfall SW development model
In order to understand anything, you must not try to understand everything Aristotle
efficiency 1 universality
Today’s LectureHeuristics for System Architecting • We will try to understand the role of heuristics in architectural (or high-level) design • We will become familiar with a few popular design heuristics
Heuristic Rule of thumb learned through trial & error Common sense lesson drawn from experience Qualitative principle,guideline,general judgement Natural language description of experience
Heuristic Wisdom ?
Caution! Caution!Heuristicsdon’talways lead to the best resultsAt times they even lead to the wrong ones, but mostly to results that are good-enough
System A collection of elements which working together produces a result not achieved by the things alone
System Architecture The structure (in terms of components, connections, constraints) of a product or a process
? Design == Architecture
Heuristics for system architecting Rules and lessons learnt by system architects after long experiences which when followed result in sound, stable, practical systems
My favorite system architecting(and other relevant)heuristics--- in no particular order ---
Given many parts of a system to be designed/built,do thehardpart1st
# 4Simplify, simplify,simplify!Probably the most useful heuristics for increasing reliability while decreasing cost & time-to-build
Caution!Everything should be as simple as possiblebut not simplerAl Einstein
# 5If you can’t explain it in 5 minutes, either you don’t understand it or it does not work
# 6A system will develop & evolve much more rapidly if there are stable intermediateforms than if there are notBuild iteratively; add features gradually
It depends! # 8 It’s more important to know what the customer needs instead of what he says he wants
# 9If you think that your design is perfect, it is only because you have not shown to anyone else--- Get your designs reviewed ---
# 10A good solution to a problem somehow looks nice & elegant
#11 In partitioning, choose the chunks so that they are as independent as possibleChunks should have low external complexity & high internal complexityOrganize personal tasks to minimize the time individuals face interfacing
5 1 3 6 2 4
5 1 3 6 2 4
5 1 3 6 2 4
8 4 1 2 5 7 9 3 6
#12Partition/repartition the problem until a model consisting of7±2 chunksemerges
Life is the art of drawing sufficient conclusionsfrom insufficient premisesSamuel Butler
#13 When choices must be made with unavoidably inadequate info:Choose the best available & then watch to see:whether further solutions appear faster than future problemsIf so, the choice was at least adequateIf not, go back & choose again
#14 The Triage1. Let the dying die2. Ignore who’ll recover on their own3. Treat only those who’ll die without your help
# 15Don’t just remove the defect; correct the process that caused it
#16The number of defects remaining in a system aftera given level of tests is proportional to ...
#16The number of defects remaining in a system aftera given level of tests is proportional to the number found during the test
#17Programmers deliver the same number of LOC/day regardless of the language they are writing inUse the highest-level language
There are many more!Please post any that are familiar to you on the message board
In Today’s Lecture • We became familiar with the the role of heuristics in design • We also discussed a few well-known design heuristics for architectural design
Next Lecture:Web Design for Usability • To become able to appreciate the role of usability in Web design • To become able to identify some of the factors affecting the usability of a Web page