Software Testing. Lecturer: Sebastian Coope Ashton Building, Room G.18

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Lecturer: Sebastian Coope Ashton Building, Room G.18 E-mail: coopes@liverpool.ac.uk COMP 201 web-page: http://www.csc.liv.ac.uk/~coopes/comp201 Software Testing 1

Defect Testing Defect testing involves testing programs to establish the presence of system defects 2

Objectives To understand testing techniques that are geared to discover program faults To introduce guidelines for interface testing To understand specific approaches to object-oriented testing To understand the principles of CASE tool support for testing 3

Defect testing Integration testing Object-oriented testing Testing workbenches Topics Covered 4

Component testing The Testing Process Testing of individual program components Usually the responsibility of the component developer (except sometimes for critical systems) Tests are derived from the developer s experience Integration testing Testing of groups of components integrated to create a system or sub-system The responsibility of an independent testing team Tests are based on a system specification 5

Testing Phases Component testing Integration testing Software developer Independent testing team 6

Defect Testing The goal of defect testing is to discover defects in programs A successful defect test is a test which causes a program to behave in an anomalous way Tests show the presence not the absence of defects 7

Testing Priorities Only exhaustive testing can show a program is free from defects. However, exhaustive testing is impossible Tests should exercise a system's capabilities rather than its components Testing old capabilities is more important than testing new capabilities Testing typical situations is more important than boundary value cases 8

Test Data and Test Cases Test data Inputs which have been devised to test the system Test cases Inputs to test the system and the predicted outputs from these inputs if the system operates according to its specification 9

Name of case LoginOKPa ss LoginBadP ass LoginNoPa ss Descriptio n Tests login with a good username and password Tests login with good username but wrong password Tests login with password field empty Test plan template Input data Action Username =test1 Password= pass1 Username =test1 Password= pass2 Username =test1 Password= Expected output Actual output Success/ Fail Click login OK Login OK Success Click login Click login Failed to Login Failed to login Failed to login Login OK Success Fail 10

The Defect Testing Process Test cases Test data Test results Test reports Design test cases Prepare test data Run program with test data Compare results to test cases 11

Black-box Testing An approach to testing where the program is considered as a black-box The program test cases are based on the system specification Test planning can begin early in the software process 12

Black-box Testing Input test data I e Inputs causing anomalous behaviour System Output test results O e Outputs which reveal the presence of defects 13

Equivalence Partitioning Input data and output results often fall into different classes where all members of a class are related Each of these classes is an equivalence partition where the program behaves in an equivalent way for each class member Test cases should be chosen from each partition 14

Equivalence Partitioning Invalid inputs Valid inputs System Outputs 15

Equivalence Partitioning Partition system inputs and outputs into equivalence sets If input is a 5-digit integer between 10,000 and 99,999, equivalence partitions are <10,000, 10,000-99, 999 and > 10, 000 Choose test cases at the boundary of these sets 00000, 09999, 10000, 99999, 10001 These are more likely to display erroneous behaviour than choosing random values 16

Equivalence Partitions 3 4 7 11 10 Less than 4 Between 4 and 10 More than 10 Number of input values 9999 10000 50000 100000 99999 Less than 10000 Between 10000 and 99999 More than 99999 Input values 17

Search Routine Specification procedure Search (Key : ELEM ; T: ELEM_ARRAY; Found : in out BOOLEAN; L: in out ELEM_INDEX) ; Pre-condition -- the array has at least one element T FIRST <= T LAST Post-condition -- the element is found and is referenced by L ( Found and T (L) = Key) or -- the element is not in the array ( not Found and not (exists i, T FIRST >= i <= T LAST, T (i) = Key )) 18

Search Routine Input Partitions Inputs which conform to the pre-conditions Inputs where a pre-condition does not hold Inputs where the key element is a member of the array Inputs where the key element is not a member of the array 19

Testing Guidelines (Sequences) Test software with sequences which have only a single value Use sequences of different sizes in different tests Derive tests so that the first, middle and last elements of the sequence are accessed Test with sequences of zero length 20

Search Routine Input Partitions 21

Structural Testing Sometime called white-box testing Derivation of test cases according to program structure. Knowledge of the program is used to identify additional test cases Objective is to exercise all program statements (not all path combinations) 22

White-box Testing Test data Tests Derives Component code Test outputs 23

class BinSearch { // This is an encapsulation of a binary search function that takes an array of // ordered objects and a key and returns an object with 2 attributes namely // index - the value of the array index // found - a boolean indicating whether or not the key is in the array // An object is returned because it is not possible in Java to pass basic types by // reference to a function and so return two values // the key is -1 if the element is not found public static void search ( int key, int [] elemarray, Result r ) { int bottom = 0 ; int top = elemarray.length - 1 ; int mid ; r.found = false ; r.index = -1 ; while ( bottom <= top ) { mid = (top + bottom) / 2 ; if (elemarray [mid] == key) { r.index = mid ; r.found = true ; return ; } // if part else { if (elemarray [mid] < key) bottom = mid + 1 ; else top = mid - 1 ; } } //while loop } // search } //BinSearch Binary search (Java) 24

Binary Search - Equiv. Partitions Pre-conditions satisfied, key element in array Pre-conditions satisfied, key element not in array Pre-conditions unsatisfied, key element in array Pre-conditions unsatisfied, key element not in array Input array has a single value Input array has an even number of values Input array has an odd number of values 25

Binary Search Equiv. Partitions Equivalence class boundaries Elements < Mid Elements > Mid Mid-point 26

Binary Search - Test Cases 27

Path Testing The objective of path testing is to ensure that the set of test cases is such that each path through the program is executed at least once The starting point for path testing is a program flow graph that shows nodes representing program decisions and arcs representing the flow of control Statements with conditions are therefore nodes in the flow graph 28

Program Flow Graphs Describes the program control flow. Each branch is shown as a separate path and loops are shown by arrows looping back to the loop condition node Used as a basis for computing the cyclomatic complexity Cyclomatic complexity = Number of edges - Number of nodes + 2 in the program control flow graph 29

Cyclomatic Complexity The number of tests to test all control statements equals the cyclomatic complexity Cyclomatic complexity equals the number of conditions in a program plus one. Useful if used with care. Does not imply adequacy of testing. Although all paths are executed, all combinations of paths are not executed 30

Lecture Key Points Test parts of a system which are commonly used rather than those which are rarely executed Equivalence partitions are sets of test cases where the program should behave in an equivalent way Black-box testing is based on the system specification Structural testing identifies test cases which cause all paths through the program to be executed 31