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Constructive Cost Model for Software Intensive Systems-of-Systems:

COSOSIMO Cost Model

 

Lead Personnel: Jo Ann Lane

The Constructive System-of-Systems (SoS) Integration Cost Model (COSOSIMO) is being developed by USC's Center for Systems and Software Engineering (CSSE) to model and calculate the SoS architecture definition and integration effort for software-intensive, net-centric SoSs.

Model Overview

COSOSIMO is designed to estimate SoS Engineering (SoSE) effort typically performed by a Lead System Integrator (LSI), prime contractor, government team, or some combination of these organizations. It estimates the effort associated with the activities to define the SoS architecture, identify sources to either supply or develop the required SoS component systems, and eventually integrate and test these high level component systems. For the purposes of this cost model, an SoS is defined as an evolutionary net-centric architecture that allows geographically distributed component systems to exchange information and perform tasks within the framework that they are not capable of performing on their own outside of the framework. The component systems may operate within the SoS framework as well as outside of the framework, and may dynamically come and go as needed or available. In addition, the component systems are typically independently developed and managed by organizations/vendors other than the SoS sponsors or the LSI.

Results of recent COSOSIMO workshops have resulted in the definition of three COSOSIMO sub-models: a planning/requirements management/architecture (PRA) sub-model, a source selection and supplier oversight (SS) sub-model, and an SoS integration and testing (I&T) sub-model:


Current Status

Currently, the COSOSIMO submodels and parameters have been defined. At this point, COSOSIMO may be used as a conceptual model to help estimators understand the factors influencing effort and to accordingly adjust estimates generated by other means (e.g., COSYSMO, analogy-based, activity-based, level of effort, rough order of magnitude).

Additional Information

  1. Boehm, B. and Lane J. (2006) "21st Century Processes for Acquiring 21st Century Software-Intensive Systems of Systems." CrossTalk: Vol. 19, No. 5, pp.4-9.
  2. Carlock, P., and J. Lane (2006); “System of Systems Enterprise Systems Engineering, the Enterprise Architecture Management Framework, and System of Systems Cost Estimation”, 21st International Forum on COCOMO and Systems/Software Cost Modeling, USC-CSE-2006-618.
  3. Lane, J. (2006);COSOSIMO Parameter Definitions, USC-CSE-2006-606.
  4. Lane, J. and B. Boehm (2006); “Synthesis of Existing Cost Models to Meet System of Systems Needs”, Proceedings of Conference on System Engineering Research, USC-CSE-2006-611.
  5. Lane, J. and Boehm, B. (2007); "System of Systems Cost Estimation: Analysis of Lead System Integrator Engineering Activities", Information Resources Management Journal, Vol. 20, No. 2, pp. 23-32.
  6. Lane, J. and B. Boehm (2007); "Modern Tools to Support DoD Software Intensive System of Systems Cost Estimation", Data and Analysis Center for Software (DACS) Technical Report (to appear).
  7. Lane, J. and B. Boehm (2007); "System of Systems Lead System Integrators: Where do They Spend Their Time and What Makes Them More or Less Efficient?", Systems Engineering Journal, (submitted for publication).
  8. Lane, J. and R. Valerdi (2007); "Synthesizing SoS Concepts for Use in Cost Modeling", Systems Engineering Journal, Vol. 10, No. 4 (to appear).
  9. Madachy, R., B. Boehm, and J. Lane (2007); “Assessing Hybrid Incremental Processes for SISOS Development”, Software Process Improvement and Practice (to appear).
  10. Wang, G., R. Valerdi, J. Lane, and B. Boehm (2006); “Towards a Work Breakdown Structure for Net Centric System of Systems Engineering and Management”, International Conference on Systems Engineering (INCOSE) Symposium.

Future Plans

The next steps, model calibration and validation, require the support of our industry affiliates. The key factor to validating and calibrating the COSOSIMO model is good data from actual SoSE programs. To that end, we are asking for the help of the systems and software engineering industry in collecting data. If you (or the organizations you work for) have the ability to supply system of systems definition and integration data, we would like to hear from you. The benefit to you for participating in data collection will be the availability of a more accurate predictive model for estimating your future SoS work. For further information or to discuss participation in the COSOSIMO data collection program, please contact Jo Ann Lane.