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Evaluating software project prediction systems

机译:评估软件项目预测系统

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The problem of developing usable software project cost prediction systems is perennial and there are many competing approaches. Consequently, in recent years there have been exhortations to conduct empirically based evaluations in order that our understanding of project prediction might be based upon real world evidence. We now find ourselves in the interesting position of possessing this evidence in abundance. For example, a review of just three software engineering journals identified 50 separate studies and overall several hundred studies have been published. This naturally leads to the next step of needing to construct a body of knowledge, particularly when not all evidence is consistent. This process of forming a body of knowledge is generally referred to as metaanalysis. It is an essential activity if we are to have any hope of making sense of, and utilising, results from our empirical studies. However, it becomes apparent that when systematically combining results many difficulties are encountered.
机译:开发可用软件项目成本预测系统的问题是长期存在的,并且存在许多竞争方法。因此,近年来,有人劝诫人们进行基于经验的评估,以使我们对项目预测的理解可以基于现实世界的证据。现在,我们发现自己处于大量拥有这一证据的有趣位置。例如,仅对三本软件工程期刊的评论就确定了50项独立的研究,并且总共发表了数百篇研究。这自然导致需要构建知识体系的下一步,尤其是在并非所有证据都一致的情况下。形成知识体系的过程通常称为荟萃分析。如果我们希望对我们的经验研究的结果有所了解并加以利用,这是一项必不可少的活动。然而,显而易见的是,当系统地组合结果时,会遇到许多困难。

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