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MAT-71506 Program Verification Designing a Program and its Proof Together Antero Kangas 2014 1.

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Presentation on theme: "MAT-71506 Program Verification Designing a Program and its Proof Together Antero Kangas 2014 1."— Presentation transcript:

1 MAT Program Verification Designing a Program and its Proof Together Antero Kangas

2 Applications for Proving  Program verification, i.e. proving, should be used in the most critical parts, and usually in pseudo-code level  Usually the final code is not correct, thus proving cannot succeed But  A proof trial is a useful means of review: problems in proof trials give easily a counter example, i.e. a test case that reveals on error (the previous lecture)  Proving can be used as a design method Antero Kangas

3 Designing a Program and its Proof together It is worth  to design a difficult part of program together with its proof  to document the main ideas of the progression of the program by writing predicates that describe the interphases  to design a loop, and its invariant and bound function together (The first example was to design an efficient implementation for Horner’s Rule) Antero Kangas

4 Second example: Compute cube  Task: Compute the cube of a natural number  in one loop  without raising to a power nor multiplication operations.  Specification n is fixed n ≥ 0 Compute_cube r = n 3  n is the input variable and r is the output variable (result) Antero Kangas

5 A Preliminary Task  Designing the program and its proof together – how? ⇒ we can use the already familiar means for program verification  Task: Discuss a moment with your partner about  what kind of strategy we could use, e.g. what kind of program statements and structures  What kind of program verification techniques we have and could use Antero Kangas

6 n ≥ 0 Compute_cube r = n 3 n ≥ 0 inv: r = i 3 while do i := expr3; r := expr4 end while r = n 3 Start of Design  One loop structure, where  Cube of a variable (e.g.) i is computed in every cycle.  Invariant candidate would be r = i 3  Loop must terminate when i = n,  and then it would be r = i 3 ∧ i=n,  which implies the post condition  The variables i and r must be initialised Antero Kangas n ≥ 0 i := expr1; r := expr2; inv: r = i 3 while i < n do i := expr3; r := expr4 end while r = i 3 ∧ i=n r = n 3

7 n ≥ 0 i := expr1; r := expr2; inv: r = i 3 while i < n do i := expr3; r := expr4 end while r = i 3 ∧ i=n r = n 3 n ≥ 0 i := 0; r := expr2; inv: r = i 3 while i < n do i := expr3; r := expr4 end while r = i 3 ∧ i=n r = n 3 n ≥ 0 i := 0; r := 0; inv: r = i 3 while i < n do i := expr3; r := expr4 end while r = i 3 ∧ i=n r = n 3 n ≥ 0 i := 0; r := 0; inv: r = i 3 while i < n do i := i + 1; r := expr4 end while r = i 3 ∧ i=n r = n 3 Solving expressions 1 to 3  i must be initialised to 0 to compute cube when n=0  inv must hold in the beginning ⇒ r must be initialised to 0  Loop terminates ⇒ i must be increased in every cycle Antero Kangas

8 n ≥ 0 i := 0; r := 0; inv: r = i 3 while i < n do inv ∧ i < n i := i + 1; r := expr4 inv end while r = i 3 ∧ i=n r = n 3 n ≥ 0 i := 0; r := 0; inv: r = i 3 ∧ s=3i 2 +3i+1 while i < n do inv ∧ i < n i := i + 1; r := expr4 inv end while r = i 3 ∧ i=n r = n 3 n ≥ 0 i := 0; r := 0; inv: r = i 3 ∧ s=3i 2 +3i+1 while i < n do inv ∧ i < n i := i + 1; r := r + s inv end while r = i 3 ∧ i=n r = n 3 n ≥ 0 i := 0; r := 0; s := expr5; inv: r = i 3 ∧ s=3i 2 +3i+1 while i < n do inv ∧ i < n i := i + 1; r := r + s; s := expr6 inv end while r = i 3 ∧ i=n r = n 3 Solving expression 4  How?  Hint: expr4 is the new value of r, and r is in invariant  inv ∧ i < n ⇒ wp(i :=i+1; r := expr4, inv )  Let inv ∧ i < n hold, thus  wp(i :=i+1; r := expr4, r = i 3 ) ⇔ expr4 = (i+1) 3 = i 3 +3i 2 +3i+1  inv ⇔ r = i 3, thus expr4 = r+3i 2 +3i+1  strengthen the invariant by s = 3i 2 +3i+1  ⇒ expr4 = r + s  s must be initialized and maintained in every cycle Antero Kangas =: s

9 Initialise s := 1 inv ∧ i < n i := i + 1; r := r + s; s := expr6 inv must hold wp(i := i + 1; r := r + s; s := expr6, r = i 3 ∧ s=3i 2 +3i+1) ⇔ wp(i := i + 1; r := r + s, r = i 3 ∧ expr6 =3i 2 +3i+1) ⇔ wp(i := i + 1; r+s = i 3 ∧ expr6 =3i 2 +3i+1 ⇔ r+s = (i+1) 3 ∧ expr6 =3(i+1) 2 +3(i+1)+1 Since inv ⇒ r+s = (i+1) 3, we get expr6 = 3(i+1) 2 +3(i+1)+1 = 3i 2 +9i+7, and since s = 3i 2 +3i+1, we get expr6 = s + 6i + 6 = s + i + i + i + i + i + i + 6 This suffices but let us make it more elegant by introducing a new variable t so that we can write expr6 = s + t Strengthen the invariant by t = 6i + 6 Initialise t := 6 for that the new invariant would hold Solving expression 6 Antero Kangas inv ⇔ r = i 3 ∧ s=3i 2 +3i+1 =: t

10 Solving expression7  How?  inv ∧ i < n i := i + 1; r := r + s; s := s+t; t := expr7 inv must hold  wp(i := i + 1; r := r + s; s := s + t; t := expr7, r = i 3 ∧ s=3i 2 +3i+1 ∧ t = 6i+6) ⇔ r+s = (i+1) 3 ∧ s+t = 3(i+1) 2 +3(i+1)+1 ∧ expr7 = 6(i+1)+6 ⇒ (look invariant) expr7 = 6(i+1)+6 = 6i+12 = t + 6  The program and its proof are ready ! Our cube program this far: n ≥ 0 i := 0; r := 0; s := 1; t:= 6 inv: r = i 3 ∧ s=3i 2 +3i+1 ∧ t = 6i+6 while i < n do inv ∧ i < n i := i + 1; r := r + s; s := s + t; t := expr7 inv end while r = i 3 ∧ i=n r = n 3 Antero Kangas Final code: n ≥ 0 i := 0; r := 0; s := 1; t:= 6 inv: r = i 3 ∧ s=3i 2 +3i+1 ∧ t = 6i+6 while i < n do inv ∧ i < n i := i + 1; r := r + s; s := s + t; t := t + 6 inv end while r = i 3 ∧ i=n r = n 3

11 Last words  The proof can be checked and kept with the code  The loop variable i is used only for counting cycles ⇒ it can be done also at the end of the loop  Therefore Compute cube can be implemented using a for-loop =======>  The main idea was to ”lower the power” by introducing a new variable, strenghtening the invariant, initialising, it so that inv holds in the beginning, etc.  A similar program can be designed at the same way for any polynom, if we know its degree and coefficients n ≥ 0 r := 0; s := 1; t := 6; for i := 0 to n─1 do r := r + s; s := s + t; t := t + 6 end for r = n 3 Antero Kangas Test run: irstirst


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