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Orthogonal Array Testing Strategy

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Abstract Orthogonal Array Testing Strategy (OATS) is a systematical, statistical way of testing pair-wise interactions by deriving suitable small set of test cases from a large number of scenarios. The testing strategy can be used to reduce the number of test combinations and provide maximum coverage with a minimum number of test cases. OATS utilizes an array of values representing variable factors that are combined pair-wise rather than representing all combinations of factors and levels.

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Abstract Being intelligent about which test cases are selected can make the difference between endlessly executing over executing a concise, defined set of test cases. OATS steps involve identifying, determining, finding, mapping, choosing, and transcribing. As an end result, orthogonal array testing provides a means to select a test set that guarantees, creates, exercises, and is simplistic, deriving a suitable small set of test cases from a large number of scenarios with broad coverage.

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Definition for Orthogonal Array Testing Strategy (OATS) The OAT Theory Simple OAT Example –Pairwise Combination of Parameters OATS Example 2 Why Use Orthogonal Array Testing? Advantages of OATS Disadvantages of OATS Outline

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Selecting the Right Test Set with OATS Mistakes to Avoid –Applying OATS manually –Focusing OATS on the wrong areas of applications –Using OATS for minimal testing efforts –Using OATS for High-Risk Applications –Picking the Wrong Parameters to Combine Outline

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How to Utilize and Apply OATS? What Can OATS Provide? Definition of Pairwise Pairwise Facts Where to get Pairwise? Summary References Resourceful Websites Outline

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Definition of Orthogonal Array Testing Strategy Orthogonal Array Testing Strategy (OATS) is a systematical, statistical way of testing pairwise interactions by deriving a suitable small set of test cases from a large number of scenarios.

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The OAT Theory OAT can be used to reduce the number of combinations and provide maximum coverage with a minimum number of test cases. OAT is an array of values in which each column represents a variable - factor that can take a certain set of values called levels. Each row represents a test case. In OAT, the factors are combined pairwise rather than representing all possible combinations of factors and levels. Orthogonal arrays are two dimensional arrays of numbers which possess the interesting quality that by choosing any two columns in the array you receive an even distribution of all the pairwise combinations of values in the array.

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Simple OAT Example Consider three parameters – A, B, and C. Parameters A, B, and C each have positive values – 1, 2, and 3. Testing all combinations of the three parameters would involve executing a total of 27 test cases.

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Simple OAT Example (contd) With the way programming works, a fault will most likely depend on the values of two parameters, not three. The fault might occur for each of these three test cases: A=1, B=1, C=1, A=1, B=1, C=2, and A=1, B=1, C=3. Not necessary to run all 27 scenarios, 9 test cases is suffice. The 9 scenarios outlined in Table 1 (on the next screen) address all possible pairs within the three parameters.

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Pair-wise Combination of Parameters All possible pairwise combinations between parameters A and B, B and C, and C and A are displayed in Table 1.

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Orthogonal Array – Example 2 (More Complex) Orthogonal Array has 3 columns, representing 3 variables. Utilize a three level-alphabet – Red, Green, and Blue. Next, organize combinations into a table (next slide).

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Orthogonal Array – Example 2 All Combinations for Three Variables of Three Levels Each ABC 1Red 2 Green 3Red Blue 4RedGreenRed 5 Green 6RedGreenBlue 7RedBlueRed 8 BlueGreen 9RedBlue 10BlueRed 11BlueRedGreen 12BlueRedBlue 13BlueGreenRed 14BlueGreen 15BlueGreenBlue 16Blue Red 17Blue Green 18Blue 19GreenRed 20GreenRedGreen 21GreenRedBlue 22Green Red 23Green 24Green Blue 25GreenBlueRed 26GreenBlueGreen 27GreenBlue

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Orthogonal Array – Three Variables of Three Levels Each For each pair of columns, AB, AC, and BC, each pair of colors appears exactly three times. To save testing effort, the appearance of each pair has been reduced to once.

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Orthogonal Array – Example 2 All-Pairs Array, Three Variables of Three Levels Each ABC 2Red Green 4RedGreenRed 9 Blue 12BlueRedBlue 14BlueGreen 16Blue Red 19GreenRed 24Green Blue 26GreenBlueGreen

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Why Use Orthogonal Array Testing? Being intelligent about which test cases you choose can make all the difference between: -Endlessly executing tests that just arent likely to find bugs and dont increase your confidence in the system. -Executing a concise, well-defined set of tests that are likely to uncover most (not all) of the bugs and that give you a great deal more comfort in the quality of your software.

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Advantages of OATS Utilizes variable pair combination Provides uniformly distributed coverage Useful for integration testing of software components Useful for testing configurable options on an application web page allowing font style background color page layout selections

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Disadvantages of OATS Can only be applied at the initial stage of the product/process design system. There are some situations whereby OA techniques are not applicable, such as a processes involving influencing factors that vary in time and cannot be quantified exactly. Can be overwhelming to use the first time; improves with use on each project. Arrays can be difficult to construct.

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Selecting the Right Test Set with OATS OATS provides a means to select a test set that: 1.Guarantees testing the pair-wise combinations of all the selected variables. 2.Creates an efficient and concise test set with many fewer test cases than testing all combinations of all variables.

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Selecting the Right Test Set with OATS (contd) 3.Creates a test set that has an even distribution of all pair-wise combinations. 4.Exercises some of the complex combinations of all the variables. 5.Is simpler to generate and less error prone than test sets created by hand.

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Mistakes to Avoid 1.Applying OATS manually. 2.Focusing the testing effort on the wrong area of the application. 3.Using OATS for minimal testing efforts. 4.Using OATS for high-risk applications. 5.Picking the wrong parameters to combine.

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Applying OATS manually Manual entry of OATS test parameters is time consuming and prone to inaccuracies. Utilize free orthogonal array freeware, to avoid manually applying OATS. Orthogonal freeware can generate various array sizes.

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Focusing the testing effort on the wrong area of the application Focus OATS on the critical areas of the application. Evaluate where applying OATS is most feasible. It is important to evaluate where the application testing effort will be most effective and efficient to apply.

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Using OATS for minimal testing efforts There are times when OATS might ask for more test cases than is actually necessary. Determine if budget and time allows for a full testing effort or a good enough testing effort. If utilize OATS-generated test case combination, omit unnecessary tests.

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Using OATS for high-risk applications Testing medical device systems or other life-critical applications require more than just OATS. Other testing techniques must be used to complement OATS. OATS is used to minimize the test combination inputs. Not a technique for exhaustive testing.

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Picking the Wrong Parameters to Combine Understand how the application functions. Enlist the help of: –Subject Matter Experts (SMEs) –Developers –Business Analysts Pick the right parameter combinations based on feedback from SME, Developers, and BAs.

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How to Utilize and Apply OATS? Steps to use OATS are outlined below: 1.Identify independent variables 2.Determine the maximum number of values 3.Find a suitable array with the smallest number of runs 4.Map the factors and values onto the array 5.Choose values for any remaining level 6.Transcribe the runs into test cases

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What Can OATS Provide? OATS provides a means to select a test set that: 1.Guarantees testing the pair-wise combinations of all selected variables. 2.Creates an efficient and concise test set with fewer test cases. 3.Creates a test set that has an even distribution of all pair-wise combinations

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What Can OATS Provide? (contd) OATS provides a means to select a test set (contd): 4.Exercises some of the complex combinations of all variables. 5.Is simpler to generate and less error prone than test sets created by hand.

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Definition of Pairwise Testing Recall Orthogonal Array Testing Strategy is a systematical, statistical way of testing pairwise interactions by deriving a suitable small set of test cases from a large number of scenarios. Pairwise testing is a type of combination testing method, where each pair of input parameters to a system (usually software algorithms), tests all possible combinations of the parameters.

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Pairwise Facts Pairwise testing is also known as Orthogonal Array Testing. The goal of using orthogonal arrays in testing is: –to get the biggest bang for the testing buck –performing the smallest number of tests likely to expose defects To keep the test scenario numbers low, the desired combinations are pairs of variables in each of their possible states, rather than combinations of three or more variables. This makes pair-wise testing a kind of subset of orthogonal array testing.

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Where to get All Pairs? All Pairs software will test for all possible discrete combinations of the parameters identified for testing. All Pairs can be downloaded from

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Summary Orthogonal Array Testing Strategy is a systematical, statistical way of testing pair-wise interactions by deriving suitable small set of test cases from a large number of scenarios. OAT should be used to reduce the number of combinations and provide maximum coverage with a minimum number of test cases. OAT guarantees testing the pair-wise combinations of all selected variables.

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Summary Mistakes to Avoid. 1.Focusing the testing effort on the wrong area of the application. 2.Using OATS for minimal testing efforts. 3.Using OATS for high-risk applications. 4.Picking the wrong parameters to combine. Pairwise testing is a type of combination testing method, where each pair of input parameters to a system (usually software algorithms), tests all possible combinations of the parameters.

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References Bolton, M. (2004). Pairwise testing. Retrieved on December 1, 2009, from ml Dustin, E. (2001). Orthogonally Speaking. Retrieved on November 17, 2009, from ail&ObjectType=MAGAZINE&ObjectId=5031&tth=DYN&t t=site &iDyn=2#table3go#table3go

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References (contd) Harrell, J. (2001). Orthogonal Array Testing Strategy (OATS) Technique. Retrieved on November 29, from pdf Learn Software Development. (2007). Orthogonal Array Testing Strategy (OATS). Retrieved on November 21, 2009, from al-array-testing-strategy-oats/

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References (contd) StickyMinds. (2001). Orthogonally Speaking. Retrieved on November 15, 2009, from ail&ObjectType=MAGAZINE&ObjectId=5031&tth=DYN&t t=site &iDyn=2#table3go#table3go VTB. (2008). Orthogonal Array Testing Strategy (OATS). Retrieved on November 10, 2009, from load&category=12674&listStyle=list&document_srl=5535 2

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Resourceful Websites pdfhttp://upiia.uab.es/teach/a21291/apunts/provaOO/OATS. pdf load&category=12674&listStyle=list&document_srl=5535 2http://www.vietnamesetestingboard.org/zbxe/?mid=down load&category=12674&listStyle=list&document_srl= mlhttp://www.developsense.com/testing/PairwiseTesting.ht ml

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