Presentation on theme: "Empirical Research at USC-CSE Barry Boehm, USC-CSE ISERN Presentation October 8, 2000"— Presentation transcript:
Empirical Research at USC-CSE Barry Boehm, USC-CSE ISERN Presentation October 8, 2000 email@example.com http://sunset.usc.edu
Empirical Research Areas Software cost/schedule/quality data and modeling –7-step modeling methodology: Bayesian calibration –COCOMO II, COCOTS, COQUALMO, CORADMO,... MBASE* Laboratory –20 real-client Web/Net digital library projects per year –Experience Factory approach to refining MBASE –Behavioral studies in developer-client collaboration *Model-Based (System) Architecting and Software Engineering
USC-CSE Modeling Methodology Analyze Existing literature 1 2 3 4 5 6 7 Perform Behavioral Analysis Identify Relative Significance Perform Expert- Judgement, Delphi Assessment Gather Project Data Determine Bayesian A-Posteriori Update Gather more data; refine model A-PRIORI MODEL + SAMPLING DATA = A-POSTERIORI MODEL
Results of Bayesian Update: Using Prior and Sampling Information (Step 6) Language and Tool Experience (LTEX) 1.06 1.41 1.45 1.51 Productivity Range = Highest Rating/ Lowest Rating A-posteriori Bayesian update A-priori Experts’ Delphi Literature, behavioral analysis Noisy data analysis
Example S&C’s 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 31, 32, 35, 36, 37, 39 Type of Application Simple Block DiagramExamplesSimplifiersComplicators Multimedia Archive · Use standard query languages · Use standard or COTS search engine · Uniform media formats Natural language processing Automated cataloging or indexing Digitizing large archives Digitizing complex or fragile artifacts Automated annotation/descrip tion/ or meanings to digital assets Integration of legacy systems MM asset info Catalog MM Archive query MM asset update query update notification Rapid access to large Archives Access to heterogeneous media collections
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