Patent
1995-02-24
1998-09-08
Kriess, Kevin A.
395652, G06F 906
Patent
active
058058982
ABSTRACT:
A method and apparatus for estimating the time needed to install software. Configuration information about the data processing system is obtained, as well as information about data needing conversion that is stored on the system. The stand-alone installation time for each portion of the software to be installed is determined and a menu of the installation options is displayed for selection. In response to the selection of options, a determination of whether the installation will be non-linear is made. Non-linear installation involves the ability to install several portions of the software simultaneously, such as in, for example, multiprocessing, multithreading, or parallel processing. In response to a presence of non-linear processing, installation time is determined for the selected options and displayed to the user.
REFERENCES:
patent: 5117324 (1992-05-01), Johnson, Jr
patent: 5155837 (1992-10-01), Liu et al.
patent: 5230059 (1993-07-01), Nielsen et al.
patent: 5247683 (1993-09-01), Holmes et al.
patent: 5303166 (1994-04-01), Amalfitano et al.
patent: 5325505 (1994-06-01), Hoffecker
patent: 5367686 (1994-11-01), Fisher et al.
patent: 5421009 (1995-05-01), Platt
patent: 5495610 (1996-02-01), Shing et al.
(No Author Given) "Paradox Relational Database Version 3.5, Introduction to Paradox", Borland International, 1990, pp. 22-26.
Barsness Eric Lawrence
Harwood Richard Fred
Larson Jennifer Anne
Dillon Andrew J.
International Business Machines - Corporation
Kriess Kevin A.
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