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Preventing and diagnosing software upgrade failures
Descriptive Metadata
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Technical Metadata

Descriptive

TitleInfo
Title
Preventing and diagnosing software upgrade failures
Name (type = personal)
NamePart (type = family)
Bachwani
NamePart (type = given)
Rekha
NamePart (type = date)
1979-
DisplayForm
Rekha Bachwani
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Bianchini
NamePart (type = given)
Ricardo
DisplayForm
Ricardo Bianchini
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Nguyen
NamePart (type = given)
Thu
DisplayForm
Thu Nguyen
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Martin
NamePart (type = given)
Rich
DisplayForm
Rich Martin
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Da Silva
NamePart (type = given)
Dilma
DisplayForm
Dilma Da Silva
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2012
DateOther (qualifier = exact); (type = degree)
2012-01
CopyrightDate (qualifier = exact)
2012
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Modern software systems are complex and comprise many interacting and dependent components. Frequent upgrades are required to fix bugs, patch security vulnerabilities, and add or remove features. Unfortunately, many upgrades either fail or produce undesired behavior resulting in service disruption, user dissatisfaction, and/or monetary loss. To make matters worse, when upgrades fail or misbehave, developers are given limited (and often unstructured) information to pinpoint and correct the problems. In this dissertation, we propose two systems to improve the management of software upgrades. Both systems rely on environment information and dynamic execution data collected from users who have previously upgraded the software. The first (called Mojave) is an upgrade recommendation system that informs a user who intends to upgrade the software about whether the upgrade is likely to succeed. Regardless of Mojave's recommendation, if the user decides to upgrade and it fails, our second system (called Sahara) comes into play. Sahara is a failed upgrade debugging system that identifies a small subset of routines that are likely to contain the root cause of the failure. We evaluate both systems using several real upgrade failures with widely used software. Our results demonstrate that our systems are very accurate in predicting upgrade failures and identifying the likely culprits for upgrade failures.
Subject (authority = RUETD)
Topic
Computer Science
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_3695
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
viii, 79 p. : ill.
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Rekha Bachwani
Subject (authority = ETD-LCSH)
Topic
Software failures
Subject (authority = ETD-LCSH)
Topic
Software maintenance
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000063983
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3WH2P1T
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Bachwani
GivenName
Rekha
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2011-11-03 10:58:26
AssociatedEntity
Name
Rekha Bachwani
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

FileSize (UNIT = bytes)
769024
OperatingSystem (VERSION = 5.1)
windows xp
ContentModel
ETD
MimeType (TYPE = file)
application/pdf
MimeType (TYPE = container)
application/x-tar
FileSize (UNIT = bytes)
778240
Checksum (METHOD = SHA1)
13239c842e89389ca7aed8d40e742d41f25fe340
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