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Practical Large Scale What-if Queries: Case Studies with Software Risk Assessment (2000)  (Make Corrections)  (2 citations)
Tim Menzies
Automated Software Engineering



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Abstract: When a lack of data inhibits decision making, large scale what-if queries can be conducted over the uncertain parameter ranges. Such what-if queries can generate an overwhelming amount of data. We describe here a general method for understanding that data. Large scale what-if queries can guide Monte Carlo simulations of a model. Machine learning can then be used to summarize the output. The summarization is an ensemble of decision trees. The TARZAN system can poll the ensemble looking for... (Update)

Context of citations to this paper:   More

.... and Sinsel assessed software project risk by running randomly selected combinations of inputs through a software risk assessment model [19]. Josephson et.al. 12] executed all known options in a car design to find designs that were best for city driving conditions. Bratko...

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BibTeX entry:   (Update)

T. Menzies and E. Sinsel, "Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment," Proc. IEEE Int'l Conf. Automated Software Eng. http://citeseer.ist.psu.edu/menzies00practical.html   More

@inproceedings{ menzies00practical,
    author = "Tim Menzies and Erik Sinsel",
    title = "Practical Large Scale What-If Queries: Case Studies with Software Risk Assessment",
    booktitle = "Automated Software Engineering",
    pages = "165-",
    year = "2000",
    url = "citeseer.ist.psu.edu/menzies00practical.html" }
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