Software Estimation & Measurement Issues

研究假设如下：软件开发过程与高科技产品制造中实施的传统工程生产过程具有某些特征。例如，不同产出范围的绩效可能不同：它可能在某个范围内表现出规模经济，也可能在其他产出范围表现出规模不经济。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生产流程，具有更大的处理更大产量的能力。为了对所提出的理论和相关的假设进行实证研究，以进行软件评估，需要访问大量的软件项目，这些项目不仅必须有特定的变量，而且还必须有关于每个组织特定的项目规模分类的信息。统计研究将使用来自两个大型软件项目库的数据进行。**一旦获得关于存在-不存在经济-规模不经济的研究洞察力，我们将重新审查规模范围、项目范围和组织之间的因果因素和相关的生产率影响。将对项目前、项目中和项目后的情况进行评估研究。**

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.**