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# Software Testing Techniques (STT)

Software Testing Techniques (STT). UNIT-5 PATHS, PATH PRODUCTS, AND REGULAR EXPRESSIONS. Sudhakar yadav. Compiled with reference from: Software Testing Techniques: Boris Beizer Craft of Software Testing: Brain Marrick. 1. Synopsis 2. Motivation

## Software Testing Techniques (STT)

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1. Software Testing Techniques (STT) UNIT-5 PATHS, PATH PRODUCTS, AND REGULAR EXPRESSIONS Sudhakar yadav Compiled with reference from: Software Testing Techniques: Boris Beizer Craft of Software Testing: Brain Marrick

2. 1. Synopsis • 2. Motivation • 3. Path products and path expressions • 4. A reduction procedure • 5. Applications • 6. Regular expressions and flow-anomaly detection • 7.Summary Contents

3. Path expressions are introduced as an algebraic representations of sets of paths in a graph. • With suitable arithmetic laws (BRZO62A, BRZO62B, BRZO63, MCNA60, PRAT83) and weights, path expressions are converted into algebraic functions or regular expressions SYNOPSIS

4. 1. Synopsis • 2. Motivation • 3. Path products and path expressions • 4. A reduction procedure • 5. Applications • 6. Regular expressions and flow-anomaly detection • 7.Summary Contents

5. I introduced flowgraphs as an abstract representation of programs. I assume that by now you appreciate their utility and want to know how playing with flowgraphs is really done. • Almost any question you have about programs can be cast into an equivalent question about an appropriate flowgraph. This chapter tells you how to do that. •  The concepts discussed in this chapter will help you better understand and exploit syntax testing (Chapter 9) and state testing (Chapter 11), both of which yield applicable test methods. •  EE’s have been using flowgraphs to design and analyze circuits for more than 50 years (MAYE72) and logic designers for more than 30 years. Get on the bandwagon. • Most software development, testing, and debugging tools use flowgraph analysis techniques (or should). You can better exploit your tools if you understand them. • If you’re a test tool builder, I don’t know how you can get along without these concepts. MOTIVATION

6. 1. Synopsis • 2. Motivation • 3. Path products and path expressions • 4. A reduction procedure • 5. Applications • 6. Regular expressions and flow-anomaly detection • 7.Summary Contents

7. Basic Concepts • Path Products • Path Sums • Distributive Laws • Absorption Rule • Loops • Identity Elements PATH PRODUCTS AND PATH EXPRESSIONS

8. The name of the path or path segment that corresponds to links is expressed naturally by concatenating those link names. • If the traverse links a, b, c, and d along some path, the name for that path segment is abcd. • is path name is also called a path product. Figure 8.1 shows some examples. Basic Concepts

9. Consider a pair of nodes in a graph and the set of paths between those nodes. Denote that set of paths by uppercase letters such as X or Y. The members of that set can be listed as follows for Figure 8.1c: ac, abc, abbc, abbbc, . . . • Alternatively, that same set of paths can be denoted by: ac + abc + abbc + abbbc + . . . • The “+” sign is understood to mean “or.” • That is, between the two nodes of interest, paths ac, or abc, or abbc, and so on can be taken. • Any expression that consists of path names and “ORs” and which denotes a set of paths (not necessarily the set of all paths) between two nodes is called a path expression. Basic Concepts(conti..)

10. Basic Concepts • Path Products • Path Sums • Distributive Laws • Absorption Rule • Loops • Identity Elements PATH PRODUCTS AND PATH EXPRESSIONS

11. The name of a path that consists of two successive path segments is conveniently expressed by the concatenation or path product of the segment names X = abcde Y = fghij then the path corresponding to X followed by Y is denoted by XY = abcdefghij • If a link or segment name is repeated, that fact is denoted by an exponent. The exponent’s value denotes the number of repetitions: a1= a; a2 = aa; a3 = aaa; an = aaaa . . . n times. Similarly, if X = abcde then X1= abcde X2= abcdeabcde = (abcde)2 X3= abcdeabcdeabcde = (abcde)2abcde = abcde(abcde)2 = (abcde)3 Path Products

12. Basic Concepts • Path Products • Path Sums • Distributive Laws • Absorption Rule • Loops • Identity Elements PATH PRODUCTS AND PATH EXPRESSIONS

13. The path sum denotes paths in parallel between two nodes. • The first set of parallel paths is denoted by X + Y + d and the second set by U + V + W + h + i + j. The set of all paths in this flowgraph is f(X + Y + d)g(U + V + W + h + i + j)k • Rule 2: X + Y = Y + X • Rule 3: (X + Y) + Z = X + (Y + Z) = X + Y + Z Path Sums

14. Basic Concepts • Path Products • Path Sums • Distributive Laws • Absorption Rule • Loops • Identity Elements PATH PRODUCTS AND PATH EXPRESSIONS

15. The product and sum operations are distributive, and the ordinary rules of multiplication apply; that is, • Rule 4: A(B + C) = AB + AC and (B + C)D = BC + BD • Applying these rules to Figure 8.1a yields e(a + b)(c + d)f = e(ac + ad + bc + bd)f= eacf + eadf + ebcf + ebdf for the set of all paths from node 1 to node 2. Distributive Laws

16. Basic Concepts • Path Products • Path Sums • Distributive Laws • Absorption Rule • Loops • Identity Elements PATH PRODUCTS AND PATH EXPRESSIONS

17. Rule 5: X + X = X (absorption rule) • Similarly, if a set consists of path names and a member of that set is added to it, the “new” name, which is already in that set of names, contributes nothing and can be ignored. For example, if • X = a + aa + abc + abcd + def then • X + a = X + aa = X + abc = X + abcd = X + def = X Absorption Rule

18. Basic Concepts • Path Products • Path Sums • Distributive Laws • Absorption Rule • Loops • Identity Elements PATH PRODUCTS AND PATH EXPRESSIONS

19. Loops can be understood as an infinite set of parallel paths. b0+ b1 + b2 + b3 + b4 + b5 + . . . This potentially infinite sum is denoted by b* for an individual link • Evidently aa* = a*a = a+ Rule 6: += if n is bigger than m= if m is bigger than n Rule 7:= • Rule 8* = X* = X* • Rule 9: = = • Rule 10: X* = X* = Loops

20. Basic Concepts • Path Products • Path Sums • Distributive Laws • Absorption Rule • Loops • Identity Elements PATH PRODUCTS AND PATH EXPRESSIONS

21. Rule 11: 1 + 1 = 1 • Rule 12: 1X = X1 = X Following or preceding a set of paths by a path of zero length doesn’t change the set. • Rule 13: 1n = 1n = 1* = 1+ = 1 No matter how often you traverse a path of zero length, it is still a path of zero length. • Rule 14: 1+ + 1 = 1* = 1 • Rule 15: X + 0 = 0 + X = X • Rule 16: X0 = 0X = 0 If you block the paths of a graph fore or aft by a graph that has no paths, there won’t be any paths. • Rule 17: 0* = 1 + 0 + 02 + . . . = 1 Identity Elements

22. 1. Synopsis • 2. Motivation • 3. Path products and path expressions • 4. A reduction procedure • 5. Applications • 6. Regular expressions and flow-anomaly detection • 7.Summary Contents

23. Overview • Cross-Term Step (Step 4) • Parallel Term (Step 6) • Loop Term (Step 7) • Comments, Identities, and Node-Removal Order A REDUCTION PROCEDURE

24. The procedure is a node-by-node removal algorithm. These steps, which initialize the process: • 1.  Combine all serial links by multiplying their path expressions. • 2.  Combine all parallel links by adding their path expressions. • 3.  Remove all self-loops (from any node to itself) by replacing them with a link of the form X*, where X is the path expression of the link in that loop. Overview

25. The remaining steps are in the algorithm’s loop: • 4.  Select any node for removal other than the initial or final node. Replace it with a set of equivalent links whose path expressions correspond to all the ways you can form a product of the set of inlinks with the set of outlinks of that node. • 5.  Combine any remaining serial links by multiplying their path expressions. • 6.  Combine all parallel links by adding their path expressions. • 7.  Remove all self-loops as in step 3. • 8.  Does the graph consist of a single link between the entry node and the exit node? If yes, then the path expression for that link is a path expression for the original flowgraph; otherwise, return to step 4. Overview

26. Overview • Cross-Term Step (Step 4) • Parallel Term (Step 6) • Loop Term (Step 7) • Comments, Identities, and Node-Removal Order A REDUCTION PROCEDURE

27. The cross-term step* is the fundamental step of the reduction algorithm. • (a + b)(c + d) = ac + ad + bc + bd Applying this step to the graph of Figure 8.1b, we remove several nodes in order; that is, Cross-Term Step (Step 4)

28. Remove node 10 by applying step 4 and combine by step 5 to yield Cross-Term Step (Step 4)

29. Cross-Term Step (Step 4) • Remove node 9 by applying steps 4 and 5 to yield • Remove node 7 by steps 4 and 5, as follows: • Remove node 8 by steps 4 and 5, to obtain

30. Overview • Cross-Term Step (Step 4) • Parallel Term (Step 6) • Loop Term (Step 7) • Comments, Identities, and Node-Removal Order A REDUCTION PROCEDURE

31. Removal of node 8 above led to a pair of parallel links between nodes 4 and 5. Combine them to create a path expression for an equivalent link whose path expression is c + gkh; that is, Parallel Term (Step 6)

32. Overview • Cross-Term Step (Step 4) • Parallel Term (Step 6) • Loop Term (Step 7) • Comments, Identities, and Node-Removal Order A REDUCTION PROCEDURE

33. Removing node 4 leads to a loop term. The graph has now been replaced with the following equivalent, simpler graph: • There are two ways of looking at the loop-removal operation: Loop Term (Step 7)

34. Loop Term (Step 7) • Continue the process by applying the loop-removal step, as follows: • Removing node 5 produces • Remove the loop at node 6 to yield

35. Loop Term (Step 7) • Remove node 3 to yield • Removing the loop and then node 6 results in the following ugly expression: • a(bgjf)*b(c + gkh)d((ilhd)*imf(bgjf)*b(c + gkh)d)*(ilhd)*e • Figure 8.2.  Some Graphs and Their Path Expressions.

36. Overview • Cross-Term Step (Step 4) • Parallel Term (Step 6) • Loop Term (Step 7) • Comments, Identities, and Node-Removal Order A REDUCTION PROCEDURE

37. The order in which the operations are done affects the appearance of the path expressions. • Such appearances of differences also result in identities that can sometimes be used to simplify path expressions • I1: (A + B)* = (A* + B*)* • I2: (A*B*)* • I3: = (A*B)*A* • I4: = (B*A)*B* • I5: = (A*B + A)* • I6: = (B*A + B)* • I7: (A + B + C + . . .)* = (A*+B*+C*+ . . .)* • I8: = (A*B*C* . . .)* Comments, Identities, and Node-Removal Order

38. 1. Synopsis • 2. Motivation • 3. Path products and path expressions • 4. A reduction procedure • 5. Applications • 6. Regular expressions and flow-anomaly detection • 7.Summary Contents

39. General • How Many Paths in a Flowgraph? • Approximate Minimum Number of Paths • The Probability of Getting There • The Mean Processing Time of a Routine • Push/Pop, Get/Return • Limitations and Solutions Applications

40. Every application follows this common pattern: • 1.  Convert the program or graph into a path expression. • 2.  Identify a property of interest and derive an appropriate set of “arithmetic” rules that characterizes the property. • 3.  Replace the link names by the link weights (remember them?) for the property of interest. The path expression has now been converted to an expression in some algebra, such as ordinary algebra, regular expressions, or boolean algebra. This algebraic expression summarizes the property of interest over the set of all paths. • 4.  Simplify or evaluate the resulting “algebraic” expression to answer the question you asked. General

41. General • How Many Paths in a Flowgraph? • Approximate Minimum Number of Paths • The Probability of Getting There • The Mean Processing Time of a Routine • Push/Pop, Get/Return • Limitations and Solutions Applications

42. The Question • Maximum Path Count Arithmetic • A Concrete Example How Many Paths in a Flowgraph?

43. The question is not simple. Here are some ways you could ask it: 1.  What is the maximum number of different paths possible? 2.  What is the fewest number of paths possible? 3.  How many different paths are there really? 4.  What is the average number of paths? The Question

44. The Question • Maximum Path Count Arithmetic • A Concrete Example How Many Paths in a Flowgraph?

45. Maximum Path Count Arithmetic

46. The Question • Maximum Path Count Arithmetic • A Concrete Example How Many Paths in a Flowgraph?

47. Each link represents a single link and consequently is given a weight of “1” to start. Let’s say that the outer loop will be taken exactly four times and the inner loop can be taken zero to three times. The steps in the reduction are as follows: A Concrete Example

48. A Concrete Example • For the inner loop, • Alternatively, you could have substituted a “1” for each link in the path expression and then simplified, as follows: • 1(1 + 1)1(1(1 x 1)31 x 1 x 1(1 + 1)1)41(1 x 1)31 x 1 x 1 = 2(131 x (2))413 but • 13 = 1 + 11 + 12 + 13 = 4 , = 2(4 x 2)4 x 4 = 2 x 84 x 4 • = 32,768

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