Value-Based Software Test Prioritization
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1 Value-Based Software Test Prioritization Annual Research Review CSSE-USC Qi Li, Barry Boehm {qli1, March 7, 2012
2 Outline Research Motivation Research Method Case Studies Tool Support Conclusion 3/6/2012 ARR
3 Research Motivation Value-neutral SE methods are increasingly risky [Boehm, 2003] Every requirement, use case, object, test case, and defect is equally important Earned Value Systems don t track business value System value-domain problems are the chief sources of software project failures Testing & Inspection resources are expensive and scarce 30%-50%, even higher for high reliability projects [Ramler, 2005] Time-to-market [Boehm, Huang, 2005] Empirical Findings [Bullock 2000, Boehm & Basili 2001 ] About 20 percent of the features provide 80 percent of business value About 80 percent of the defects come from 20 percent of the modules Value-based Software Engineering 4+1 theorem [Boehm, 2005] 3/6/2012 ARR
4 Outline Research Motivation Research Method Case Studies Tool Support Conclusion 3/6/2012 ARR
5 Value-Based Software Test Prioritization What to be prioritized? Testing items: Testing Scenarios, Testing Features, Test Cases How to prioritize? Value-Based (Business Importance, Risk, Cost) Dependency Aware How to Measure? Average Percentage of Business Importance Earned (APBIE)
6 Research Method: Value-Based Risk Exposure (RE) Where Size (Loss) is the risk impact size of loss if the outcome is unsatisfactory, Pro (Loss) is the probability of an unsatisfactory outcome Risk Reduction Leverage (RRL) Where RE before is the RE before initiating the risk reduction effort and RE after is the RE afterwards. RRL is a measure of the cost-benefit ratio of performing a candidate risk reduction or defect removal activity 3/6/2012 ARR
7 Research Method: Value-Based Value-Based Prioritization Drivers: Business Case Analysis Stakeholder Business Value Prioritization Impact of Defect Defect Criticality Size of Loss Risk Exposure Experience Base Defect-prone Components, Performers Probability of Loss Testing items are to be ranked by how well they can reduce RE 3/6/2012 ARR
8 Research Method: Value-Based Combining with the testing items relative costs =>Priority Trigger: This proposed strategy enables them to be prioritized in terms of Risk Reduction Leverage (RRL) or ROI Supposed to improve the lifecycle cost-effectiveness of defect removal techniques 3/6/2012 ARR
9 Value of software product to organization University of Southern California Research Method: Dependency Aware Tertairy application functions Natural speech input Animated displays Secondary application functions User amenities Main application functions Operating System Basic application functions Data management system Investment High-payoff Diminishing returns Cost of software product [Boehm, 1981] 3/6/2012 ARR
10 Research Method: Dependency Aware Dependency: Example: dependencies among test cases to be executed Solution: Prioritization Algorithm (greedy alg) Select the one with the highest RRL Check dependency 9->3->9->5->9->4->7 3/6/2012 ARR
11 Research Method: Metrics Testing Cost Effectiveness Average Percentage of Business Importance Earned (APBIE) 3/6/2012 ARR
12 Outline Research Motivation Research Method Case Studies Tool Support Conclusion 3/6/2012 ARR
13 Case Studies Results Exercise Test Prioritization based on Risk Reduction Level (RRL) software testing scenarios to be walked through in Galorath.Inc software features to be tested in a Chinese company software test cases to be executed in USC SE course projects All of them show preliminary positive results 3/6/2012 ARR
14 Case Studies Results (Galorath Inc.) Prioritize testing scenarios to be walked through Galorath Inc. (2011 Summer) % 90.12% 93.83% 95.06% 90.00% 83.95% Value-based % 87.65% 80.00% 77.78% 70.00% 60.00% 50.00% 40.00% 30.00% 20.00% 74.07% 35.80% 39.51% 45.68% 51.85% 58.02% 22.22% 16.05% 10.00% 9.88% 4.94% 0.00% 6.17% Stop Testing % 25.93% Value-neutral Value-inverse (worst case) 58.02% PBIE-1 PBIE-2 PBIE-3 APBIE % APBIE % APBIE % Value-based prioritization can improve the cost-effectiveness of testing 3/6/2012 ARR
15 Outline Research Motivation Research Method Case Studies Tool Support Conclusion 3/6/2012 ARR
16 Automated Tool Support (Beta Version) 3/6/2012 ARR
17 Tool Demo Website: 3/6/2012 ARR
18 Future Features Establish the traceability matrix between the requirement specifications and test cases to automatically obtain test case business importance ratings Establish the traceability matrix between test cases and defects in order to automatically predict the fail probability based on the collected historical defect data via incorporating the-state-of-art defect prediction techniques Experiment sensitivity analysis for reasoning and judging the correctness of factors ratings If you would like to be a beta version tester, please contact me at qli1@usc.edu 3/6/2012 ARR
19 Outline Research Motivation Research Method Case Studies Tool Support Conclusion 3/6/2012 ARR
20 Conclusion Propose a Real Earned Value System to Track Business Value of Testing and Measure Testing Efficiency in terms of APBIE Propose a Systematic Strategy for Value-based, Dependency Aware Test Processes Apply This Strategy to a Series of Empirical Studies with different granularities of Prioritizations Elaborate Decision Criteria of Testing Priorities Per Project Contexts, Which are Helpful for Real Industry Practices Implement an automatic tool for its application on large-scale industrial projects 3/6/2012 ARR
21 Question and Answer 3/6/2012 ARR
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