University of Southern California Center for Systems and Software Engineering Vu Nguyen, Barry Boehm USC-CSSE ARR, May 1, 2014 COCOMO II Cost Driver Trends.

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University of Southern California Center for Systems and Software Engineering Vu Nguyen, Barry Boehm USC-CSSE ARR, May 1, 2014 COCOMO II Cost Driver Trends

University of Southern California Center for Systems and Software Engineering COCOMO II Status and COCOMO III Plans Baseline COCOMO II calibrated to 161 project data points –Pred (20%; 30%) = (63%; 70%) general; (75%;80%) local Added 149 data points –Pred (30%) < 40% general; some sources ~70-80% local –Some improvement with added variables (year; domain; agility) But some data-source mismatches unexplainable Vu Nguyen analysis of full dataset suggests further adjusting –Rating scales for experience, tools, reliability Proposed approach for COCOMO III –Explore models for unexplained existing sources or drop –Try added variables for mostly-general fit to existing data –Obtain more data to validate results 1/13/2014© USC-CSSE2

University of Southern California Center for Systems and Software Engineering COCOMO II Data by 5-Year Periods 1/13/2014© USC-CSSE3

University of Southern California Center for Systems and Software Engineering COCOMO II Data: Productivity Trends 1/13/2014© USC-CSSE4

University of Southern California Center for Systems and Software Engineering COCOMO II Data: Process Maturity Trends 1/13/2014© USC-CSSE5

University of Southern California Center for Systems and Software Engineering SRDR Data: Productivity vs. Size, CMM Level 1/13/2014© USC-CSSE6

University of Southern California Center for Systems and Software Engineering Use of Software Tools Rating Trends 1/13/2014© USC-CSSE7

University of Southern California Center for Systems and Software Engineering Platfom Experience Rating Trends 1/13/2014© USC-CSSE8

University of Southern California Center for Systems and Software Engineering Application Experience Rating Trends 1/13/2014© USC-CSSE9

University of Southern California Center for Systems and Software Engineering Language & Tool Experience Rating Trends 1/13/2014© USC-CSSE10

University of Southern California Center for Systems and Software Engineering Storage Constraint Rating Trends 1/13/2014© USC-CSSE11

University of Southern California Center for Systems and Software Engineering Execution Time Constraint Rating Trends 1/13/2014© USC-CSSE12

University of Southern California Center for Systems and Software Engineering Correlation of cost driver rating and year 1/13/2014© USC-CSSE13

University of Southern California Center for Systems and Software Engineering Correlation of cost driver rating and year - 2 1/13/2014© USC-CSSE14