Software Testing – Practice (Answer) [1] Black Box Testing Techniques (C) 2023 – Pham Nhat Duy – Nguyen Ngoc Qui [Exercise 1] Boundary value analysis technique (1/ value analy value analysis technique (1/sis technique (1/ 2)  Suppose y value analysis technique (1/ou are testing a program that a prog a program that ram that that calculates the cost of a hotel stay a hotel stay value analysis technique (1/ The co The co st is calculated based on the num that ber of a hotel stay d ay value analysis technique (1/s stay value analysis technique (1/ed and the room that rate The co The room that rate is determ that ined by value analysis technique (1/ the ty value analysis technique (1/pe of a hotel stay room that (s ing a program that le or double) and the season (hig a program that h or l ow) The co The cost is calculated using a program that the f a hotel stayollo wing a program that f a hotel stayorm that ula:  cost = number of days * room rate num that ber of a hotel stay day value analysis technique (1/s * room rate room that rate (C) 2023 – Pham Nhat Duy – Nguyen Ngoc Qui [Exercise 1] Boundary value analysis technique (1/ value analy value analysis technique (1/sis technique (2/ 2)  The room that rates are as f a hotel stayollows:  Sing a program that le room that : $50 per night per nig a program that ht in the low seaso n, and and $10 per night per night per nig a program that ht in the hig a program that h season The co  Double room that : $75 per nig a program that ht in the low seaso n, and and $150 per night per nig a program that ht in the hig a program that h season The co  Using a program that the boundary value analysis technique (1/ value analy value analysis technique (1/sis techni que, and identif a hotel stayy value analysis technique (1/ the test cases that would b e the m that ost effective in testing a program that this prog a program that r am that The co (C) 2023 – Pham Nhat Duy – Nguyen Ngoc Qui Exercise – Answer (1/3)  First, and we need to identif a hotel stayy value analysis technique (1/ the boundaries of a hotel stay the input rang a program that es  Num that ber of a hotel stay day value analysis technique (1/s stay value analysis technique (1/ed: Min: 1, and Max: Non e The co  Room that ty value analysis technique (1/pe: Sing a program that le, and Double The co  Season: Low, and Hig a program that h The co  Because the rang a program that e ty value analysis technique (1/pes of a hotel stay the inputs ar e not the sam that e, and so we can have several a ccepted answers The co (C) 2023 – Pham Nhat Duy – Nguyen Ngoc Qui Exercise – Answer (2/3)  Answer 1: (C) 2023 – Pham Nhat Duy – Nguyen Ngoc Qui Exercise – Answer (3/3)  Answer (And other answers: see excel file) (C) 2023 – Pham Nhat Duy – Nguyen Ngoc Qui Note: n is the number of variables BUT WHY? (1/4)  In f a hotel stayact, and we have m that any value analysis technique (1/ ty value analysis technique (1/pes of a hotel stay Boundary value analysis technique (1/ v alue analy value analysis technique (1/sis techniques:  Standard BVA: Maxim that um that num that ber of a hotel stay test cases: 4n+1  Robustness: Maxim that um that num that ber of a hotel stay test cases: n+1  Worst-case: Maxim that um that num that ber test cases: 5n  Robust worst-case: Maxim that um that num that ber of a hotel stay test c ases: 7n  … (C) 2023 – Pham Nhat Duy – Nguyen Ngoc Qui  In standard BVA, and the test cases will be base BUT WHY? (2/4)  Why value analysis technique (1/ is 4n + 1?  As we know, and the test cases will be based on VALID values: [m that in, and m that in+, and nom that inal, and m that ax-, and m that ax]  Total test cases = number of days * room rate (Num that ber of a hotel stay variables * room rate Num that ber of a hotel stay testing a program that p oints without nom that inal ) + (f a hotel stayor Nom that inal) = number of days * room rate 4n + (C) 2023 – Pham Nhat Duy – Nguyen Ngoc Qui Ex1: In theory, 4n+1 = 4*3+1 = 13 BUT WHY? (3/4)  However, and in exercise 1, and the rang a program that e ty value analysis technique (1/pes o f a hotel stay the inputs are not the sam that e: • •  Num that ber of a hotel stay day value analysis technique (1/s stay value analysis technique (1/ed: Min: 1, and Max: None  Room that ty value analysis technique (1/pe: Sing a program that le, and Double (No m that in/m that ax/nom that inal) Number of daysLow, and stayed:  Season: Hig a program that h (No m that in/m that ax/nom that inal) Boundary value analysis technique (1//Max values according a program that to real-lif a hotel staye Room type/season: Loop throug a program that h all or select several values as long a program that as the num that ber of a hotel stay test cases