Towards a Holistic, Total Engineering Cost Model
In this paper, we explore a new approach for a unified and interdisciplinary model for estimating the total engineering effort in developing and delivering a parametric software-intensive complex system. We begin by reviewing some of the limitations of using existing engineering discipline-focused...
Principais autores: | , , , |
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Formato: | Presentation |
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2014
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Acesso em linha: | http://hdl.handle.net/1721.1/84095 |
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author | Wang, Gan Turnidge, Jon Shernoff, Alex Valerdi, Ricardo |
author_facet | Wang, Gan Turnidge, Jon Shernoff, Alex Valerdi, Ricardo |
author_sort | Wang, Gan |
collection | MIT |
description | In this paper, we explore a new approach for a unified and interdisciplinary
model for estimating the total engineering effort in developing and delivering a parametric software-intensive complex system. We begin by reviewing some of the limitations of using existing engineering discipline-focused tools for estimating total engineering cost and by articulating the benefits of such a holistic model. Applying a two step method combining heuristic analysis and data validation, we propose three hypotheses to expand the basic cost estimating relationship of COSYSMO, a systems engineering model, to the total engineering scope by including software size drivers. The implementation of the hypotheses and the validation approach are also discussed. We conclude the discussion by outlining the future work required to realize such a model and to apply it to supporting successful system development endeavours. |
first_indexed | 2024-09-23T14:17:52Z |
format | Presentation |
id | mit-1721.1/84095 |
institution | Massachusetts Institute of Technology |
last_indexed | 2024-09-23T14:17:52Z |
publishDate | 2014 |
record_format | dspace |
spelling | mit-1721.1/840952019-04-11T11:08:22Z Towards a Holistic, Total Engineering Cost Model Wang, Gan Turnidge, Jon Shernoff, Alex Valerdi, Ricardo total engineering cost model COSYSMO systems engineering (SE) In this paper, we explore a new approach for a unified and interdisciplinary model for estimating the total engineering effort in developing and delivering a parametric software-intensive complex system. We begin by reviewing some of the limitations of using existing engineering discipline-focused tools for estimating total engineering cost and by articulating the benefits of such a holistic model. Applying a two step method combining heuristic analysis and data validation, we propose three hypotheses to expand the basic cost estimating relationship of COSYSMO, a systems engineering model, to the total engineering scope by including software size drivers. The implementation of the hypotheses and the validation approach are also discussed. We conclude the discussion by outlining the future work required to realize such a model and to apply it to supporting successful system development endeavours. 2014-01-21T14:50:27Z 2014-01-21T14:50:27Z 2009-07-19 Presentation Technical Report http://hdl.handle.net/1721.1/84095 Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us/ application/pdf |
spellingShingle | total engineering cost model COSYSMO systems engineering (SE) Wang, Gan Turnidge, Jon Shernoff, Alex Valerdi, Ricardo Towards a Holistic, Total Engineering Cost Model |
title | Towards a Holistic, Total Engineering Cost Model |
title_full | Towards a Holistic, Total Engineering Cost Model |
title_fullStr | Towards a Holistic, Total Engineering Cost Model |
title_full_unstemmed | Towards a Holistic, Total Engineering Cost Model |
title_short | Towards a Holistic, Total Engineering Cost Model |
title_sort | towards a holistic total engineering cost model |
topic | total engineering cost model COSYSMO systems engineering (SE) |
url | http://hdl.handle.net/1721.1/84095 |
work_keys_str_mv | AT wanggan towardsaholistictotalengineeringcostmodel AT turnidgejon towardsaholistictotalengineeringcostmodel AT shernoffalex towardsaholistictotalengineeringcostmodel AT valerdiricardo towardsaholistictotalengineeringcostmodel |