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Predicting Defects Using Information Intelligence Process Models in the Software Technology Project

机译:在软件技术项目中使用信息智能过程模型预测缺陷

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摘要

A key differentiator in a competitive market place is customer satisfaction. As per Gartner 2012 report, only 75%–80% of IT projects are successful. Customer satisfaction should be considered as a part of business strategy. The associated project parameters should be proactively managed and the project outcome needs to be predicted by a technical manager. There is lot of focus on the end state and on minimizing defect leakage as much as possible. Focus should be on proactively managing and shifting left in the software life cycle engineering model. Identify the problem upfront in the project cycle and do not wait for lessons to be learnt and take reactive steps. This paper gives the practical applicability of using predictive models and illustrates use of these models in a project to predict system testing defects thus helping to reduce residual defects.
机译:在竞争激烈的市场中,与众不同的关键是客户满意度。根据Gartner 2012年的报告,只有75%–80%的IT项目是成功的。客户满意度应被视为业务战略的一部分。应主动管理相关的项目参数,并且需要由技术经理预测项目结果。人们非常关注最终状态,并尽可能减少缺陷泄漏。重点应放在主动管理和在软件生命周期工程模型中向左转移。在项目周期中预先确定问题,不要等待教训并采取对策。本文提供了使用预测模型的实际适用性,并说明了在项目中使用这些模型来预测系统测试缺陷,从而有助于减少残留缺陷。

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