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SOFTWARE QUALITY ASSURANCE BLACK BOX Seminar:  Oana FEIDI Quality Manager – Continental Automotive
Preview
Preview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Input Output
Equivalence partition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Indicates when to stop testing
Equivalence partition ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Boundary Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Boundary Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
State Transition Testing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
State Transition Testing start single being born married getting married widow husband dies remarried divorced remarried getting divorced dying death death death death reborn
Black Box - summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Decision table ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Decision Table Methodology 1. Identify Conditions & Values  Find the data attribute each condition tests and all of the attribute's values.  2. Compute Max Number of Rules  Multiply the number of values for each condition data attribute by each other.  3. Identify Possible Actions  Determine each independent action to be taken for the decision or policy.  4. Enter All Possible Rules  Fill in the values of the condition data attributes in each numbered rule column.  5. Define Actions for each Rule  For each rule, mark the appropriate actions with an X in the decision table.  6. Verify the Policy  Review completed decision table with end-users.  7. Simplify the Table  Eliminate and/or consolidate rules to reduce the number of columns.
Example ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example ,[object Object],[object Object],1 2 3 4 5 6 7 8 9 10 11 12 Gender F M F M F M F M F M F M City Y Y N N Y Y N N Y Y N N Age A A A A B B B B C C C C 1 2 3 4 5 6 7 8 9 10 11 12 W X X X X X X Y X Z X X X X X X X X X X
Example ,[object Object],[object Object],[object Object],[object Object],Conditions Gen der F M F M F F M F F M City   Y Y N N Y N N Y N N Age A - A A B B B C C C Actions W X X X X X X Y X Z X X X X X X X X 1 2 3 4 5 6 7 8 9 10
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Blackbox

  • 1. SOFTWARE QUALITY ASSURANCE BLACK BOX Seminar: Oana FEIDI Quality Manager – Continental Automotive
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. State Transition Testing start single being born married getting married widow husband dies remarried divorced remarried getting divorced dying death death death death reborn
  • 11.
  • 12.
  • 13. Decision Table Methodology 1. Identify Conditions & Values Find the data attribute each condition tests and all of the attribute's values. 2. Compute Max Number of Rules Multiply the number of values for each condition data attribute by each other. 3. Identify Possible Actions Determine each independent action to be taken for the decision or policy. 4. Enter All Possible Rules Fill in the values of the condition data attributes in each numbered rule column. 5. Define Actions for each Rule For each rule, mark the appropriate actions with an X in the decision table. 6. Verify the Policy Review completed decision table with end-users. 7. Simplify the Table Eliminate and/or consolidate rules to reduce the number of columns.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.