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Possibilities and Limitations of Statistic Models in Project Management

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Most of the projects in software development use reactive project management methods. This means that an occurred problem or goal deviations are identified and an analysis of possible reasons and ways of their prevention in the future is done. This is what common practices in project methodology – for example, retrospectives in agile methodology – are aimed for. However there is the next level in project management which brings to light the proactive approach based on quantitative forecast of possible deviations from the goals.

Forecasts are made based on the current information about development stages and processes. To have an ability to do that organization has to build a statistic forecast model. And there are a lot of pitfalls along this journey. This study is based on the practice of Reksoft.

Yulian Larionov

Yulian LarionovYulian Larionov

Yulian for 14 years managed process organization of development and maintenance of information systems, project and program management. Conducted a series of consulting projects for goverment and commercial organizations in software development and project management process improvements. Expert in CMMI, ISO 9001, ITSM, PMBoK, RUP and Agile. Quality Director in Reksoft since 2004.


Nikolay Sokornov


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