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Title:An Assumptions Management Framework for Systems Software
Author(s):Tirumala, Ajay Sudarshan
Doctoral Committee Chair(s):Lui Sha
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:Case-studies were conducted on representative systems to study the nature and number of defects caused by invalid assumptions. It was found that a significant number of defects in the systems studied had invalid assumptions as the root-cause. It was found that AMF has the ability to encode and validate majority of the assumptions that caused defects in these systems. This can prevent such defects in the future or warn in advance of potential defects when assumptions are invalid. Analyzing and correcting one of the invalid assumptions in Iperf, an end-to-end bandwidth measurement tool, resulted in significantly better bandwidth estimates by Iperf across high-bandwidth networks. In most cases, it also resulted in savings of over 90% in terms of both network traffic generated and bandwidth measurement times.
Issue Date:2006
Type:Text
Language:English
Description:138 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.
URI:http://hdl.handle.net/2142/81744
Other Identifier(s):(MiAaPQ)AAI3243011
Date Available in IDEALS:2015-09-25
Date Deposited:2006


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