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Extracting Test Cases by Using Data Mining; Reducing the Cost of Testing

Extracting Test Cases by Using Data Mining; Reducing the Cost of Testing. Andrea Ciocca COMP 587. Topics. Data Mining Introduction Case-Based Reasoning Effort Estimation Automated Testing Test Cases in Web Applications Using Clustering Convert Software into Cases

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Extracting Test Cases by Using Data Mining; Reducing the Cost of Testing

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  1. Extracting Test Cases by Using Data Mining;Reducing the Cost of Testing Andrea Ciocca COMP 587

  2. Topics • Data Mining • Introduction • Case-Based Reasoning • Effort Estimation • Automated Testing • Test Cases in Web Applications • Using Clustering • Convert Software into Cases • Define Case and Domains • Using CBR to Find Test Cases

  3. Data Mining • Definition: the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management.

  4. Introduction • Testing in today’s software development • Cost derived from lack of testing in the billions • Importance of documentation in testing • The role of data mining in testing

  5. Case-Based Reasoning • To solve a new problem by remembering a previous similar situation and by reusing information and knowledge previously acquired • How? • Retrieve • Reuse • Revise • Retain

  6. Effort Estimation • a * SIZE^b • CBR • COCOMO

  7. Automated Testing • Can reduce the cost of testing and therefore the overall cost of software development • Old scenarios must be re-tested in new releases • Automation can reduce time of testing and increase accuracy

  8. Test Cases in Web Applications • Content • Transactions • User Interface • Stress • Database • Compatibility • Component Level • Navigation • Configuration • Workload • Volume • Usability • Security • Special Conditions

  9. Using Clustering • Organization of a collection of patterns into clusters

  10. Convert Software into Cases • A case X = (x1, … xn)is a single data item used by the clustering algorithm • Identify scalar components • Measure similarity • Euclidean distance (Murkowski)

  11. Define Case and Domains

  12. Using CBR to Find Test Cases

  13. Summary • Data Mining • Introduction • Case-Based Reasoning • Effort Estimation • Automated Testing • Test Cases in Web Applications • Using Clustering • Convert Software into Cases • Define Case and Domains • Using CBR to Find Test Cases

  14. Questions ?

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