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Iterator Null Object Observer Introduce Null Object (301) Replace Hard-Coded Notifications with Observer (236) Limit Instantiation with Singleton (296) Replace State-Altering Conditionals with State (166) Replace Conditional Logic with Strategy (129) Form Template Method (205) Replace State-Altering Conditionals with State (166) Replace Conditional Logic with Strategy (129) Replace Hard-Coded Notifications with Observer (236)

Program defensively A useful technique is to add code to handle "can't happen" cases, situations where it is not logically possible for something to happen but (because of some failure elsewhere) it might anyway Adding a test for zero or negative array lengths to avg was one example As another example, a program processing grades might expect that there would be no negative or huge values but should check anyway:

Move Accumulation to Visitor (320)

Inline Singleton (114)

i f (grade < 0 1 I grade > 100) l e t t e r = ' ' ; e l s e i f (grade >= 90) l e t t e r = 'A' ; else

[16] [16]

Move Accumulation to Visitor (320)

/* c a n ' t happen */

Move Accumulation to Visitor (320)

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Ethereal Packet Sniffing by Angela Orebaugh et al (Rockland, MA: Syngress, 2004)

This is an example of defensive progrtrmming: making sure that a program protects itself against incorrect use or illegal data Null pointers, out of range subscripts, division by zero, and other errors can be detected early and warned about or deflected Defensive programming (no pun intended) might well have caught the zero-divide problem on the Yorktown

.

Check error returns One often-overlooked defense is to check the error returns from library functions and system calls Return values from input routines such as f read

One team I worked with included programmers who knew patterns and programmers who didn't know patterns Bobby knew patterns well and had ten years of programming experience John had little exposure to patterns and had four years of programming experience One day John looked over a significant refactoring Bobby had completed and exclaimed, "I liked the code better before! Now the code is way more complex!" Bobby had refactored a large amount of conditional logic associated with validating data entry screens His refactoring led him to the Composite pattern Bobby had converted many pieces of validation logic into separate validation objects, all of which shared the same interface For a given data entry screen, the appropriate validation objects were now assembled into a single Composite validation object At runtime, a data entry screen's Composite validation object would be queried to discover which validation rules passed or failed I happened to be pair-programming with John when he expressed his discontent with Bobby's refactoring I wanted to understand the root of John's discontent, so I asked John some questions I quickly learned that John was not familiar with the Composite pattern That explained a lot John was open to learning the Composite pattern when I offered to teach it to him After I felt that he had grasped the pattern, we went back to looking over Bobby's refactored code I then asked John whether he felt differently about the refactoring Reluctantly, he agreed that the code wasn't as complex as he had thought, yet he didn't go so far as to say it was better than the previous code From my perspective, Bobby's refactoring represented a vast improvement over the previous code Bobby had removed large chunks of conditional logic and duplicate code in classes associated with data entry screens He had also dramatically simplified the way to discover passing and failing validation rules My own comfort and familiarity with the Composite pattern influenced my perspective on Bobby's refactoring Unlike John, I found the refactored code to be simpler and cleaner than the previous code In general, pattern implementations ought to help remove duplicate code, simplify logic, communicate intention, and increase flexibility However, as this story reveals, people's familiarity with patterns plays a major role in how they perceive patterns-based refactorings I prefer that teams learn patterns rather than avoid using them because the teams view patterns as being too complex On the other hand, some pattern implementations can make code more complex than it needs to be; when that happens, backtracking or more refactoring is necessary.

This document was created by an unregistered ChmMagic, please go to http://wwwbisentercom to register it Thanks

Ethereal can capture packets in real time by using the Capture Options window shown in Figure 51 (To access this window, select the Capture Start menu item)

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