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Issue No. 03 - May/June (2008 vol. 25)
ISSN: 0740-7459
pp: 24-28
Girish V. Seshagiri , Advanced Information Services
Donald Reifer , Reifer Consultants
Bill Curtis , CAST Software
Gargi Keeni , Tata Consultancy Services
Iraj Hirmanpour , Software Engineering Intitute
ABSTRACT
This article introduces a special section on "Embedding Statistical Methods into Software Engineering Practices." It provides a background on Quantitative Process Management and makes the case for why these methods are important. It presents an example of how a model can be developed to predict project outcomes by using data emerging from the performance of process tasks. It discusses how these methods can be used with different software development paradigms. It ends by summarizing develops needed in five different communities in order for these methods to be widely adopted.
INDEX TERMS
Quantitative Process Management, Quantitative Project Management, Quantitative Software Models, Predictive Software Models, Statistical Project Management
CITATION
Girish V. Seshagiri, Donald Reifer, Bill Curtis, Gargi Keeni, Iraj Hirmanpour, "The Case for Quantitative Process Management", IEEE Software, vol. 25, no. , pp. 24-28, May/June 2008, doi:10.1109/MS.2008.80
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