Yet more code smells? Aren't them enough? We see several symptoms and situations that make us doubt the quality of our development. Let's look at some possible . solutions Most of these smells are just hints of something that might be wrong. They are not rigid rules. This is part V. Part I can be found , Part II , Part III is , Part IV , , , VII, VIII, IX and (for now). here here here here part V VI the last one Let's continue... Code Smell 51 - Double Negatives Not operator is our friend. Not not operator is not our friend. Problems Readability Solutions Name your variables, methods and classes with positive names. Sample Code Wrong ( !work.isNotFinished() ) if Right ( work.isDone() ) if Detection This is a semantic smell. We need to detect it on code reviews. We can tell linters to check for Regular Expressions like or etc as a warning. !not !isNot Tags Readability Conclusion Double negation is a very basic rule we learn as junior developers. There are lots of production systems filled with this smell. We need to trust our test coverage and make safe renames and other refactors. More info What Exactly Is A Name: Rehab [Part II] Remove Double Negative Knot-of-nots: Avoiding negative names for boolean methods Credits Photo by on Daniel Herron Unsplash It’s harder to read code than to write it. Joel Spolsky Code Smell 52 - Fragile Tests Tests are our safety nets. If we don’t trust on their integrity, we will be in great danger. Problems Determinism Confidence loss Wasted time Solutions Test should be in full control. There should be no space for erratic behavior and degrees of freedom. Remove all tests coupling. Coupling: The One and Only Software Designing Problem Examples Fragile, Intermittent, Sporadic or Erratic tests are common in many organizations. Nevertheless, they mine the developers trust. We must avoid them. Sample Code Wrong org.junit.Assert.assertEquals; org.junit.Test; components.set.Set; components.set.Set1L;

public abstract {

    protected abstract < > ();

    @Test
    public final void testAddEmpty() { < > s = .constructor();
        s.add( );
        s.add( );
        assertEquals( , s.toString()); }   
} import static import import import class SetTest Set String constructor Set String this "green" "blue" "{green. blue}" //This is fragile since it dependes on set sort (which is not defined) Right org.junit.Assert.assertEquals; org.junit.Test; components.set.Set; components.set.Set1L;

public abstract {

    protected abstract < > ();

    @Test
    public final void testAddEmpty() { < > s = .constructor();
        s.add( );
        assertEquals( , s.toString());
    }   

    @Test
    public final testEntryAtSingleEntry() { < > s = .createFromArgs( ); x = s.contains( );
        assertEquals( , x);
    } 
} import static import import import class SetTest Set String constructor Set String this "green" "{green}" void Set String this "red" Boolean "red" true Detection Detection can be done with test run statistics. It is very hard to put some test in maintenance since we are removing a safety net. More Info How to Avoid Fragile Unit Tests? Tags Coupling Determinism Conclusion Fragile tests show system coupling and not deterministic or erratic behavior. Developers spend lots of time and effort fighting against this false positives. The amateur software engineer is always in search of magic. Grady Booch Code Smell 53 — Explicit Iteration We learned loops back in school. But enumerators and iterators are the next generation. Photo by on Elena Mozhvilo Unsplash Problems Encapsulation. Declarativeness. Solutions Favor or high order iterators foreach() You will be able to use yield(), caches, proxies, lazy loading and much more when you hide your implementation details. Sample Code Wrong (i = ; i < colors.count(), i++) {
  print(colors[i]);
} for 0 Right foreach (color colors) {
  print(color);
} colors.foreach( print(color)); of //Closures and arrow functions => color Detection Linters can find this smell using regex. There might be false positives. See exceptions below. Exceptions If the problem domain needs the elements to be bijected to natural numbers like indices, the first solution is adequate. Remember all time to find real world analogies. The One and Only Software Design Principle Tags Declarative Conclusion This kind of smell do not ring the bell to many developers because they think this is a subtlety. Clean code is full of this few declarative things that can make a difference. More info What is (wrong with) software? If you get tired of writing for loops, take a break and continue later. David Walker Code Smell 54 — Anchor Boats Code is there. Just in case. We might need it soon. Photo by on Kris Mikael Krister Unsplash Problems Complexity Coupling Solutions Remove dead code. Leave covered and real tested code. Sample Code Wrong { { } { }  
} <? final class DatabaseQueryOptimizer public function selectWithCriteria ($tableName, $criteria) //Make some optimizations manipulating criterias private : function sqlParserOptimization (SQLSentence $sqlSentence) SQLSentence //Parse the SQL converting it to an string and then working with their nodes as strings and lots of regex //This was a very costly operation overcoming real SQL benefits. //But since we made too much work we decide to keep the code. Right { { } 
} <? final class DatabaseQueryOptimizer public function selectWithCriteria ($tableName, $criteria) //Make some optimizations manipulating criterias Detection Using some variants we can remove the dead code and see it test fails. mutation testing We need to have good coverage to rely on this solution. Tags YAGNI Conclusion Dead code is always a problem. We can use modern development techniques like TDD to ensure all code is alive. We all love T.D.D. We know its benefits, we have read a thousand tutorials on how to build a system using this… More info Exception not Found Wikipedia Refactoring.guru It is very hard to predict, especially the future. Niels Bohr Code Smell 55 — Object Orgy If you see your objects as data holders you will violate their encapsulation, but you shouldn’t, as in real life, you should always ask for consent. Picture by Nicolas Poussin Problems Information Hiding Violation Encapsulation Violation Coupling Solutions Couple to interfaces and behavior, never data. Sample Code Wrong { $x; $y;
} { { sqrt((($destination->x - $origin->x) ^ ) + (($destination->y - $origin->y) ^ ));
    }
} <? final class Point public public final class DistanceCalculator function distanceBetween (Point $origin, Point $destination) return 2 2 Right { $rho; $theta; { ->rho * cos( ->theta);
    } { ->rho * sin( ->theta);
    }
} { { sqrt((($destination->x() - $origin->x() ^ ) + (($destination->y() - $origin->y()) ^ )));
    }

} <? final class Point private private public function x () return $this $this public function y () return $this $this final class DistanceCalculator function distanceBetween (Point $origin, Point $destination) return 2 2 Detection You can set your linters to warn you for public attributes, setters and getters usage and discourage them. Tags Coupling Conclusion If your classes are polluted with setters, getters and public methods you will certainly have ways to couple to their accidental implementation. Also Known as Inappropriate intimacy More info Object Orgy A data structure is just a stupid programming language. Bill Gosper We are done for now. But we are pretty sure we will come across even more smells very soon! I keep getting more suggestions on , so they won't be the last! twitter

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