By Stephan Diehl

Here is a perfect textbook on software program visualization, written in particular for college kids and lecturers in laptop technological know-how. It offers a large and systematic assessment of the realm together with many tips to instruments to be had this present day. subject matters coated contain static software visualization, set of rules animation, visible debugging, in addition to the visualization of the evolution of software program. The author's presentation emphasizes universal ideas and offers assorted examples quite often taken from seminal paintings. additionally, every one bankruptcy is by way of an inventory of routines together with either pen-and-paper workouts in addition to programming initiatives.

**Read Online or Download Software Visualization: Visualizing the Structure, Behaviour, and Evolution of Software PDF**

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**Additional info for Software Visualization: Visualizing the Structure, Behaviour, and Evolution of Software**

**Example text**

In graphs, the objects are called nodes, and the relationships are called edges. Graphs are often characterized by one or more of the following properties. First of all, graphs can be directed or undirected, which means that the edges may have a direction or not. e. e. contain no cycles at all. A graph is disconnected if its nodes can be partitioned into two sets such that there is not a single edge between a node in one of the sets to a node in the other set. Otherwise, the graph is called connected.

Below, we deﬁne a function cfg : LGsimple (S) −→ Γ which maps programs to control-ﬂow graphs: cfg(w) = (V, E, in, out), where ⎧ ⎨ V = {w, in, out}, if w = v=ep then E = {(in, , w), (w, , out)}, ⎩ and in, out are two new nodes, ⎧ V = (V1 − {out1 }) ∪ (V2 − {in2 }), ⎪ ⎪ ⎪ ⎪ ⎨ E = (E1 − {(v, l, out1 )|v ∈ V1 }) ∪(E2 − {(in2 , , v)|v ∈ V2 }) if w = s1 ;s2 then ⎪ ⎪ ∪{(v ⎪ 1 , l1 , v2 )|(v1 , l1 , out1 ) ∈ E1 , (in2 , , v2 ) ∈ E2 )} ⎪ ⎩ and in = in1 , out = out2 , where (V1 , E1 , in1 , out1 ) = cfg(s1 ) and (V2 , E2 , in2 , out2 ) = cfg(s2 ).

Such programming languages typically have procedural abstraction. Each procedure has its own control-ﬂow graph, but owing to procedure calls within the body of a procedure, these graphs are interconnected. Thus we distinguish intraprocedural and interprocedural control-ﬂow graphs. T n>0 F ping(n+1) Fig. 19. Interprocedural control-ﬂow graph So, if we have a call of procedure q in the body of procedure p, we draw an arrow from the program point of the call to the entry node of procedure q and an arrow from the exit node of q back to the call.