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Integrated COCOMO Suite Tool for Education Ray Madachy rjmadach@nps.edu

Integrated COCOMO Suite Tool for Education Ray Madachy rjmadach@nps.edu. 24th International Forum on COCOMO and Systems/Software Cost Modeling November 3, 2009. Agenda. Introduction to COCOMO Suite Education Usage Implementation Next Steps. Background.

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Integrated COCOMO Suite Tool for Education Ray Madachy rjmadach@nps.edu

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  1. Integrated COCOMO Suite Tool for EducationRay Madachyrjmadach@nps.edu 24th International Forum on COCOMO and Systems/Software Cost ModelingNovember 3, 2009

  2. Agenda Introduction to COCOMO Suite Education Usage Implementation Next Steps

  3. Background • The COCOMO suite of models collectively estimate systems and software engineering effort and schedule, software defects, dependability return-on-investment, and productivity improvement. • Other special extensions also estimate program risk. • They are all primarily derived from the COCOMO II software cost estimation model and share some common inputs, algorithmic approaches, and output types. • However there are distinct differences and reconciling them for single program application is sometimes problematic. • The web-based COCOMOSuite tool unifies them in a single application to explore their interactions and refine the models. • COCOMOSuite also lowers barriers for education usage

  4. Allow more comprehensive cost exploration with respect to Development decisions Investment decisions Established project budget and schedules Client negotiations and requested changes Cost, schedule, performance, and functionality tradeoffs Risk management decisions Process improvement decisions Model Unification Goals • Provide a single unified tool to allow users to • Specify • System and software components comprising the software system of interest • Composition and characteristics of components • Receive • A set of comprehensive outputs for system engineering, software development, and system-of-systems integration • Adjusted using the appropriate special-purpose extensions

  5. COCOMO Suite Quantities Estimated

  6. Typical Model Usage

  7. Long Term Vision COSOSIMO • COCOMOII extensions • RAD, security • Incremental, phase/activity • Agile, risk, Monte Carlo • ROI (product line, dependability) • Maintenance Output Analysis and Report Generation COSYSMO Unified Interface COCOMOII/ COQUALMO COCOTS Unified Model

  8. Agenda Introduction to COCOMO Suite Education Usage Implementation Next Steps

  9. NPS Classroom Environment and Constraints • Distance learning • Internet necessary for class • Abundance of tools to install and learn • Administrative and engineering applications • Exacerbated by multiple tools for COCOMO Suite • Exacerbated by multiple vendor tools provided • NMCI security constraints • Downloads and program installation of non-approved tools frequently impossible • Windows installation problems and impossibilities or incompatible Macs • Problems duly noted in student course evaluations

  10. Homework Streamlining • Student homework estimate backups provided in many formats (estimate files using different tools, spreadsheet exports, screen captures in Powerpoint, …) • Sometimes painstaking to capture electronically • Often painstaking to read and sometimes unreadable by Professor • Single tool archive file saves steps and hassle • Students provide URL • Professor easily views inputs and outputs

  11. Current Users • Education • NPS, USC, TU Munich • Others per email notices • Internet public (industry, researchers) • Hundreds of data files per day on CSSE server • Many email queries • Protected space usage • Selected Navy programs • Research institution colleagues

  12. Agenda Introduction to COCOMO Suite Education Usage Implementation Next Steps

  13. COCOMO Suite Models in Current Tool COCOMO Suite COSYSMO System size Systems engineering effort by phase/activity Systems Effort Model Systems cost drivers Systems engineering risk management advice Risk Model* COCOMO II Integrated systems and software effort by phase/activity Software Effort and Schedule Model Software size Software development effort and schedule by phase/activity Software cost and defect introduction drivers COQUALMO Defect Introduction Model Software defect levels by type Defect removal capability levels Defect Removal Model * Expert COSYSMO

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  18. Screen 5

  19. Screen 6

  20. Archive File

  21. Tool Software Measures 73% PHP, 27% HTML 4267 Physical Lines of Code 3375 Logical Lines of Code physical/logical ratio = 1.26

  22. Where? • Tool available at: • https://diana.nps.edu/MSAcq/tools/COCOMOSuite.php • http://csse.usc.edu/tools/COCOMOSuite.php • google “cocomo suite tool”, “cocomosuite.php” (#1) • “cocomo suite” (#2)

  23. Agenda Introduction to COCOMO Suite Education Usage Implementation Next Steps

  24. Upcoming • Multiple module estimation • Decision support modes (go/no-go, lifecycle analysis, reuse tradeoff, etc.) • Local file save and open • Open XML format supports data collection, analysis and cost model data transfer • Additional cost models • A COCOMO Suite “service” like Google maps • A few lines of HTML/JavaScript or PHP to call it

  25. References • Abts C., “Extending The COCOMO II Software Cost Model To Estimate Effort And Schedule For Software Systems Using Commercial-off-the-shelf (COTS) Software Components: The COCOTS Model”, USC PhD dissertation, May 2004 • Boehm B., Abts C., Brown W., Chulani S., Clark B., Horowitz E., Madachy R., Reifer D., Steece B., Software Cost Estimation with COCOMO II, Prentice-Hall, 2000 • Boehm B., Valerdi R., Lane J., Brown W., “COCOMO Suite Methodology and Evolution”, Crosstalk, 2005 • Chulani S., Boehm B., “Modeling software defect introduction and removal: COQUALMO (COnstructive QUALity MOdel)”, University of Southern California Center for Software Engineering, USC-CSE Technical Report 99-510, 1999 • Lane J. “Constructive Cost Model for System-of-System Integration,” 3rd ACM-IEEE International Symposium on Empirical Software Engineering, Redondo Beach, CA, August, 2004 • Madachy R., “Heuristic Risk Assessment Using Cost Factors”, IEEE Software, May 1997 • Madachy R., Valerdi R., “Knowledge-Based Systems Engineering Risk Assessment”, University of Southern California Center for Systems and Software Engineering Technical Report, USC-CSSE-2008-818, 2008 • Madachy R., Boehm B., “Assessing Quality Processes with ODC COQUALMO”, Proceedings of the 2008 International Conference on Software Process, Liepzig, Germany, 2008 • Madachy R., “COCOMO Suite”, CS510 Presentation, University of Southern California, September 2005 • Valerdi R., Systems Engineering Cost Estimation with COSYSMO, Wiley, 2009 • Yang Y., Boehm B., Madachy R., “COPLIMO: A Product-Line Investment Analysis Model, Proceedings of the Eighteenth International Forum on COCOMO and Software Cost Modeling”, USC, Los Angeles, CA, October 2003

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