Implementing A Final Regression Testing Process
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1 Implementing A Final Regression ing Process Jeff Tatelman SQuAD Conference 2007 March 15th, 2007
2 Final Regression ing Definition The testing of software after a modification has been made to ensure that preexisting code is still working properly Verification that what once worked still does No new defects have been introduced The build was created correctly Completed after Function and End to End ing 2
3 Adapting a Model Staff Management PROCESS Technology Adhoc Adhoc Level Level 1 1 Defined Defined Level Level 3 3 Repeatable Repeatable Level Level 2 2 Optimizing Optimizing Level Level 5 5 Managed Managed Level Level 4 4 A framework that describes the key elements of an effective final regression testing process... An evolutionary improvement path from an adhoc state to a mature disciplined process. 3
4 Evolution of Final Regression Increasing Maturity Repeatable Repeatable Level Level 2 Defined Defined Level Level 3 Managed Managed Level Level 4 Separate Separate Environment Environment Optimizing Optimizing Level Level 5 Automated Automated Scripts Scripts Data Data Management Management Ad Ad Hoc Hoc Level Level 1 Documented Documented Manual Manual ing ing Processes 4
5 Build Manual s Repeatable Repeatable Level Level 2 Ad Ad Hoc Hoc Level Level 1 Documented Documented manual manual tests tests Repeatable/Reusable Criticality to the business (Risk Based) Validate against requirements Stored using a Management tool Capable of execution by multiple people Results are visible 5
6 Traceability Matrix Requirements Repository Planning Function Coverage Matrix R1 Customer Service Run1 Run2 Run3 Case Repository R2 Order Processing R3 Order Change R4 Shipping TC1 Add customer TC2 add order TC3 Mod Order TC4 Chg Addr TC5 Ship TC6 Approve order TC1 Add customer TC2 Add Order TC3 Modify Order TC4 Change Address TC5 Ship Order TC6 Approve Order TC7 Bill Order Example of an Inventory Control System 6
7 Risk Based ing ABC Inventory Control System Req ID Business Requirement Name Risk END 1 END 2 END 3 END Customer Service 1.1 Add A New Customer H X X Select New Customer option M X Enter Required informaton H X 1.2 Delete A Customer L X 1.3 Modify Existing Customer M X X 2.0. Order Processing 2.1 Add an Order H X X 2.2 Modify an Order M X X 2.3 Hold an Order M X 3.0. Inventory Management 3.1 Replenish Inventory L X 3.2 Audit Inventory Stock On Hand M X X 4.0. Shipping 4.1 Bill A Customer H X X X 4.2 Ship To All Customers H X X 5.0. Print Listings and Reports 5.1 Order Review Report L X 5.2 Inventory Report by Material L X 7
8 Traceability Matrix Advantages Validation of requirements Risk based testing Ensure coverage - Knowledge of what is being testing - Knowledge of what is not being tested Reduce the number of test cases Trace changes: - Requirements to testing - ing to requirements Manage regression for every release 8
9 Build Environment Defined Defined Level Level 3 Repeatable Repeatable Level Level 2 Separate Separate Environment Environment Isolated just for final regression testing Simulation of production instance Initial data setup Code and database migration management same process as production 9
10 Environment Profile Development Staging Production Unit Function Function End to End Final Regression User Acceptance 10
11 Preparing The Environment for ing Development Staging Production Code & DB Changes Copy Code Run Regression 11
12 Ready For Production Development Staging Production Code & DB Changes 12
13 Separate Environment Benefits Early Warning of Bad News (Prior to Production) Control over all testing activities s can be repeated (regression tests) with reliable results Known data conditions No scheduling conflicts Not impacting other testing 13
14 Data Maturity Managed Managed Level Level 4 Defined Defined Level Level 3 Data Data Management Management Subset of test data from production Baselining Backup & Restore Modified test data to accommodate new releases 14
15 Build Master Data Strategy Data Development Staging Production Data Data Manipulation Baseline 15
16 Master Data Maintenance Run V.2 Backup Baseline Data Refinement Change Restore Baseline Run V.1 Backup Baseline 16
17 Data Challenges Date and Time Requirements Database changes Data dependencies Sequencing Interfaces 17
18 Automating your Manual s Optimizing Optimizing Level Level 5 Managed Managed Level Level 4 Automated Automated Scripts Scripts Use the Traceability/Validation Matrix Proof of Concept Architecture Approach Avoiding Shelf ware Management Commitment Right resources Small wins Levels 2-4 in place 18
19 How to Choose the Critical Applications Frequency of releases per year Recurring production problems Criticality to the business (revenue stream). Number of users impacted Visibility to customers 19
20 Final Regression Benefits Documented Manual are reused for the life of the product Separate test environment assures tests are controlled and isolated Base-lining of Data enables to receive the same test results for each run. Automated Scripts: Mechanical comparison of test results Duplication of defects Increased number of test run coverage 20
21 Regression ing Costs Documented Manual takes time to build Separate test environment requires additional instances for each application Base-lining of Data usually requires DBA support Automated Scripts can take 3 times longer to develop than manual tests 21
22 Summary Build Manual s that are repeatable Traceability/Validation Create Separate Environment Baseline data Automate your manual test 22
23 23
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