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This is the only metric in the suite that is averaged over the classes in a system. In the examples, we will assume ci is equal to 1.
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METRIC 2: DEPTH OF INHERITANCE TREE (DIT)
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The depth of inheritance tree metric is just the maximum length from any node to the root of the inheritance tree for that class. Inheritance can add to complexity of software. This metric is calculated for each class.
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Object-Oriented Metrics
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12.2.3 METRIC 3: NUMBER OF CHILDREN (NOC)
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Not only is the depth of the inheritance tree signi cant, but the width of the inheritance tree. The number of children metric is the number of immediate subclasses subordinated to a class in the inheritance hierarchy. This metric is calculated for each class.
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12.2.4 METRIC 4: COUPLING BETWEEN OBJECT CLASSES (CBO)
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Coupling between modules has always been a concern (see Section 9.5). In objectoriented software, we can de ne coupling as the use of methods or attributes in another class. Two classes will be considered coupled when methods declared in one class use methods or instance variables de ned by the other class. Coupling is symmetric. If class A is coupled to class B, then B is coupled to A. The coupling between object classes (CBO) metric will be the count of the number of other classes to which it is coupled. This metric is calculated for each class.
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12.2.5 METRIC 5: RESPONSE FOR A CLASS (RFC)
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The response set of a class, {RS}, is the set of methods that can potentially be executed in response to a message received by an object of that class. It is the union of all methods in the class and all methods called by methods in the class. It is only counted on one level of call. RFC jRSj This metric is calculated for each class.
12.2.6 METRIC 6: LACK OF COHESION IN METHODS (LCOM)
A module (or class) is cohesive if everything is closely related. The lack of cohesion in methods metric tries to measure the lack of cohesiveness. Let Ii be the set of instance variables used by method i. Let P be set of pairwise null intersections of Ii . Let Q be set of pairwise nonnull intersections. The LCOM metric can be visualized by considering a bipartite graph. One set of nodes consists of the attributes, and the other set of nodes consists of the functions. An attribute is linked to a function if that function accesses or sets that attribute. The set of arcs is the set Q. If there are n attributes and m functions, then there are a possible n m arcs. So, the size of P is n m minus the size of Q. LCOM max jPj jQj; 0
CHAPTER 12 Object-Oriented Metrics
This metric is calculated on a class basis.
EXAMPLE 12.1
Calculate the Chidamber suite of metrics on the following example C program that provides a link list of rectangles: class point { oat x; oat y; public: point( oat newx, oat newy) {x=newx; y=newy;} getx(){return x;} gety(){return y;} }; class rectangle { point pt1, pt2, pt3, pt4; public: rectangle( oat pt1x, pt1y, pt2x, pt2y, pt3x, pt3y, pt4x, pt4y) { pt1 = new point(pt1x, pt1y); pt2 = new point(pt2x, pt2y); pt3 = new point(pt3x, pt3y); pt4 = new point(pt4x, pt4y);} oat length(point r, point s){return sqrt((r.getx() s.getx())^2+ (r.gety() s.gety())^2); } oat area(){return length(pt1,pt2) length(pt1,pt3);} }; class linklistnode { rectangle* node; linklistnode* next; public: linklistnode(rectangle* newRectangle){node=newRectangle; next=0;} linklistnode* getNext(){return next;} rectangle* getRectangle(){return node;} void setnext(linklistnode* newnext){next=newnext;} }; class rectanglelist { linklistnode* top; public: rectanglelist(){top = 0;} void addRectangle( oat x1, y1, x2, y2, x3, y3, x4, y4) { linklistnode* tempLinkListNode; rectangle* tempRectangle; tempRectangle = new rectangle(x1,y1,x2,y2,x3,y3,x4,y4); tempLinkListNode = new linkListNode(tempRectangle); tempLinkListNode->setnext(top); top=tempLinkListNode; } oat totalArea(){ oat sum; sum=0; linklistnode* temp; temp=top; while (temp !=0){sum=sum + temp->getRectangle()->area(); temp=temp->getNext();} return sum;} };
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