Software Estimation & Measurement Issues

研究假设如下：软件开发过程与高技术产品制造中实施的传统工程生产过程具有某些特征。例如，不同产出范围的业绩可能不同：在某个范围内可能显示规模经济，在其他产出范围内可能显示规模不经济。为了在特定制造设计的一定范围内克服这种规模不经济，生产工程师设计了另一种具有更大能力的生产过程，以处理更大数量的输出。为了实证研究所提出的理论和相关假设的软件估算的目的，需要访问一个大的软件项目，不仅特定的变量必须可用，但以及信息的项目规模分类具体到每个组织。将利用两个大型软件项目资料库的数据进行统计研究。一旦获得了关于规模经济的存在-不存在-不经济的研究见解，我们将重新审视因果因素和跨规模范围，项目范围和跨组织的相关生产力影响。将进行研究以评估项目前、项目中和项目后环境。**

The research hypothesis is the following: the software development process shares some characteristics with traditional engineering production processes implemented in the manufacturing of high technology products. For example, performance can vary across ranges of outputs: it may display economies of scale within some range, and it may display diseconomies of scale across other ranges of outputs. To overcome such diseconomies of scale within some range of a specific manufacturing design, production engineers design another production process with a larger capability to handle larger volumes of outputs. To investigate empirically the proposed theory and related hypotheses for software estimation purposes, requires an access to a large set of software projects for which not only specific variables must be available, but as well information about the projects size classification specific to each organization. Statistical studies will be carried on with data from two large repositories of software projects.**Once research insights obtained on the presence-absence of economies-diseconomies of scale, we will revisit causal factors and related productivity impacts across size ranges, project scope and across organizations. Research will be conducted for estimation for pre-project, in-project and post-project contexts.**