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Applications of DEA to software engineering management.

机译：DEA在软件工程管理中的应用。

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Software systems play an increasingly important role in organizational effectiveness, as well as in gaining competitive advantage and in differentiating organizations from their competition. This applies to both producers of software and those organizations that utilize software. Thus, our ability to efficiently produce high quality software is a crucial factor in determining the success of many organizations. Unfortunately, the track record of most software producers remains poor, with only a handful of notable exceptions worldwide. In addition to new and improved methods and technology, many experts have cited the need to overcome the difficulties associated with managing the software engineering process as solutions to this so-called 'software crisis'.; This thesis addresses several limitations of DEA techniques that can arise through their application to software engineering management. New theoretical contributions are made in three main areas. The first area is crucial to the performance measurement process. New and enhanced models of software production are presented which divide the software production process into multiple phases and are capable of evaluating data sets containing projects with varying degrees of new and modified code.; Measuring overall efficiency and effectiveness is fundamental to the management control process. This is the motivation for the second area: researching the relationship between traditional economic production measures (and definitions) and DEA multiplier flexibility. A prescriptive framework for the application of DEA models to measure overall efficiency and effectiveness is presented along with several new DEA modeLs important to this framework.; The third area is related to the application of DEA to software project planning and presents new tools for forecasting and trade-off analysis. Existing DEA techniques are adapted for the purpose of conducting general trade-off analysis. Inherent in this analysis process is the generation of efficient project forecasts.; This document, while inspired by software engineering management, contains new theoretical contributions which are not limited in their application to this domain only. In particular, this applies to the framework: to measure overall efficiency and the new measures that it contains. The new methods of forecasting and trade-off analysis are also applicable to domains where such project management tools are appropriate.
机译：软件系统在组织有效性，获取竞争优势以及使组织与竞争中脱颖而出方面发挥着越来越重要的作用。这适用于软件生产者和使用软件的组织。因此，我们有效生产高质量软件的能力是决定许多组织成功的关键因素。不幸的是，大多数软件生产商的往绩仍然很差，全世界只有少数值得注意的例外。除了新的和改进的方法和技术外，许多专家还提到需要克服与管理软件工程过程相关的困难，以此来解决这种所谓的“软件危机”。本文解决了DEA技术在软件工程管理中的应用可能会遇到的一些局限性。在三个主要领域做出了新的理论贡献。第一个领域对绩效评估过程至关重要。提出了新的和增强的软件生产模型，该模型将软件生产过程分为多个阶段，并且能够评估包含具有不同程度的新代码和修改代码的项目的数据集。衡量整体效率和有效性是管理控制过程的基础。这是第二个领域的动机：研究传统经济生产指标（和定义）与DEA乘数灵活性之间的关系。提出了一个应用DEA模型来衡量整体效率和有效性的说明性框架，以及对该框架重要的几个新的DEA模型。第三个领域涉及DEA在软件项目计划中的应用，并提出了用于预测和权衡分析的新工具。现有的DEA技术适用于进行一般权衡分析的目的。分析过程中固有的是有效项目预测的生成。该文档受软件工程管理的启发，包含新的理论贡献，这些理论贡献不仅限于此领域。特别是，这适用于框架：衡量总体效率及其包含的新措施。预测和权衡分析的新方法也适用于此类项目管理工具适当的领域。

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