% khosh.bib Bibliography of Taghi Khoshgoftaar

@INPROCEEDINGS{AK97:RQD
,  AUTHOR    = {Edward B. Allen and Taghi M. Khoshgoftaar}
,  TITLE     = {Measurement of Software Design Coupling}
,  BOOKTITLE = 
   {  Proceedings of the Third ISSAT International Conference
      on Reliability and Quality in Design
   }
,  YEAR      = 1997
,  EDITOR    = {Hoang Pham}
,  ORGANIZATION = {International Society of Science
      and Applied Technologies
   }
,  MONTH     = mar
,  ADDRESS   = {Anaheim, CA}
,  PUBLISHER = {}
,  PAGES     = {247--253}
,  NOTE      = {}
,  INDEXTERMS = {}
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ISBN      = {0-9639998-2-6}
,  ABSTRACT  =
   {
   }
}

@MASTERSTHESIS{Hoch97:MS
,  AUTHOR    = {Robert Hochman}
,  TITLE     = 
   {  Software Reliability Engineering:
      {A}n Evolutionary Neural Network Approach
   }
,  SCHOOL    = {Florida Atlantic University}
,  YEAR      = 1997
,  ADDRESS   = {Boca Raton, FL}
,  MONTH     = dec
,  NOTE      = {Advised by Taghi M.\ Khoshgoftaar.}
,  INDEXTERMS = {}
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ABSTRACT  =
   {
   }
}

@INPROCEEDINGS{HKAH97:ISSRE
,  AUTHOR    = 
   {  Robert Hochman
   and Taghi M. Khoshgoftaar
   and Edward B. Allen
   and John P. Hudepohl
   }
,  TITLE     = 
   {  Evolutionary Neural Networks:
      {A} Robust Approach to Software Reliability Problems
   }
,  BOOKTITLE =
   {  Proceedings of the 
      Eighth International Symposium on
      Software Reliability Engineering
   }
,  YEAR      = 1997
,  ORGANIZATION = IEEECS
,  MONTH     = nov
,  ADDRESS   = {Albuquerque, NM USA}
,  PUBLISHER = {}
,  PAGES     = {13--26}
,  NOTE      = {}
,  INDEXTERMS = {
backpropagation,
classification,
discriminant analysis,
fault-prone modules,
fitness function,
genetic algorithm,
neural network,
software metrics,
software reliability,
uniform crossover
   }
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ISBN      = {0-8186-8120-9}
,  ABSTRACT  =
   {
   }
}

@MASTERSTHESIS{Jord97:MS
,  AUTHOR    = {Sylviane Jordan}
,  TITLE     = 
   {  Software Metrics Collection:
      Two New Research Tools
   }
,  SCHOOL    = {Florida Atlantic University}
,  YEAR      = 1997
,  ADDRESS   = {Boca Raton, FL}
,  MONTH     = dec
,  NOTE      = {Advised by Taghi M.\ Khoshgoftaar.}
,  INDEXTERMS = {}
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ABSTRACT  =
   {
   }
}

@INPROCEEDINGS{Khos97:QW
,  AUTHOR    = {Taghi M. Khoshgoftaar}
,  TITLE     = 
   { Identifying Fault-Prone Modules: {A} Case Study   }
,  BOOKTITLE = 
   {  Conference Proceedings of the Tenth International 
      Software Quality Week
   }
,  YEAR      = 1997
,  EDITOR    = {}
,  ORGANIZATION = {Software Research Institute}
,  MONTH     = may
,  ADDRESS   = {San Francisco, CA USA}
,  PUBLISHER = {}
,  PAGES     = {}
,  NOTE      = {Paper 4A1, abstract, references, slides only.}
,  INDEXTERMS = {}
,  ANNOTE    = {no page numbers}
,  INLIBRARY = {}
,  ISBN      = {}
,  ABSTRACT  = {}
}

@INPROCEEDINGS{KA97:AOWSM
,  AUTHOR    =
   {   Taghi M. Khoshgoftaar
   and Edward B. Allen
   }
,  TITLE     =
   {  Classification Techniques for Predicting Software Quality:
      {L}essons Learned
   }
,  BOOKTITLE =
   {  Proceedings of the Annual Oregon Workshop
      on Software Metrics
   }
,  YEAR      = 1997
,  ORGANIZATION = {University of Idaho}
,  MONTH     = may
,  ADDRESS   = {Coeur d'Alene, ID, USA}
,  NOTE      = {}
,  INLIBRARY = {}
,  ANNOTE    = {no page numbers}
,  ABSTRACT  =
   {
Timely classification of software modules 
as {\em fault-prone}, or not, 
enables one to improve subsequent development
processes by focusing efforts on high risk modules.
Discriminant analysis and logistic regression are both
classification modeling techniques
that may be used for this purpose.

Discriminant analysis assumes independent variables
are continuous.
However,
many software product and process metrics
are categorical or discrete measures.
Although studies in the literature have developed
useful discriminant models
that combine
continuous variables and a few categorical variables,
success is not guaranteed.
This paper gives 
practical guidance on the proper use of 
nonparametric discriminant analysis
and logistic regression
based on underlying principles 
and an empirical case study.

The case study examines
a large subsystem of 
the Joint Surveillance Target Attack Radar System, {\sc jstars},
which is an embedded, real time, military application.
Measures of the process history of
each module were independent variables.
Empirical validation results support the hypothesis that
logistic regression has practical advantages over
nonparametric discriminant analysis
for classification models of software quality.
The advantages are apparent for models 
with predominantly discrete independent variables.
   }
}

@INPROCEEDINGS{KA97:METRICS
,  AUTHOR    = 
   {  Taghi M. Khoshgoftaar
   and Edward B. Allen
   }
,  TITLE     = 
   {  The Impact of Costs of Misclassification
      on Software Quality Modeling
   }
,  BOOKTITLE = 
   {  Proceedings of the Fourth International 
      Software Metrics Symposium
   }
,  YEAR      = 1997
,  EDITOR    = {}
,  ORGANIZATION = IEEECS
,  MONTH     = nov
,  ADDRESS   = {Albuquerque, NM USA}
,  PUBLISHER = {}
,  PAGES     = {54--62}
,  NOTE      = {}
,  INDEXTERMS = {
     software quality modeling
   , fault-prone
   , discriminant analysis
   , cost
   , misclassification
   , software process
   , software reuse
   , spiral life cycle
   }
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ISBN      = {0-8186-8093-8}
,  ABSTRACT  =
   {
A software quality model can
make timely predictions of 
the class of a module, 
such as {\em not fault-prone}
or {\em fault-prone}.
These enable one to improve software development processes
by targeting reliability improvement techniques
more effectively and efficiently.

Published software quality classification models generally
minimize the number of misclassifications.
The contribution of this paper is empirical evidence,
supported by theoretical considerations,
that such models
can significantly benefit 
from minimizing the expected cost of misclassifications,
rather than just the number of misclassifications.
This is necessary when misclassification costs for
{\em not fault-prone} modules are quite different from
those of {\em fault-prone} modules.
We illustrate the principles with a case study using
nonparametric discriminant analysis.

The case study examined a large subsystem of the
Joint Surveillance Target Attack Radar System, {\sc jstars},
which is an embedded, real time, military application.
Measures of the process history of
each module were independent variables.
Models with equal costs of misclassification were
unacceptable, due to high misclassification rates
for {\em fault-prone} modules,
but cost-weighted models had acceptable, balanced
misclassification rates.
   }
}

@INPROCEEDINGS{KA97:COMPASS
,  AUTHOR    = {Taghi M.\ Khoshgoftaar and Edward B.\ Allen}
,  TITLE     = 
   {  Tutorial:  {B}uilding a Corporate Metrics Program
      for High Quality Software
   }
,  BOOKTITLE = 
   {  Twelfth Annual Conference on
      Computer Assurance
   }
,  YEAR      = 1997
,  EDITOR    = {}
,  ORGANIZATION = IEEECS
,  MONTH     = jun
,  ADDRESS   = {Gaithersburg, MD USA}
,  PUBLISHER = {}
,  PAGES     = {}
,  NOTE      = {}
,  INDEXTERMS = {
      software metric,
      software quality metric,
      software testing,
      software life cycle,
      coupling
   }
,  ANNOTE    = {COMPASS'97}
,  INLIBRARY = {}
,  ISBN      = {0-7803-3979-7}
,  ABSTRACT  = 
   {   }
}

@ARTICLE{KAHA97:TNN
,  AUTHOR    = 
   {   Taghi M. Khoshgoftaar
   and Edward B. Allen
   and John P. Hudepohl
   and Stephen J. Aud
   }
,  TITLE     = 
   {  Applications of Neural Networks
      to Software Quality Modeling
      of a Very Large Telecommunications System
   }
,  JOURNAL   = {Transactions on Neural Networks}
,  YEAR      = 1997
,  MONTH     = jul
,  VOLUME    = 8
,  NUMBER    = 4
,  PAGES     = {902--909}
,  NOTE      = {}
,  INDEXTERMS = {
backpropagation algorithm,
classification,
discriminant analysis,
fault-prone modules,
neural network,
principal components analysis,
software metrics
   }
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ABSTRACT  =
   {
   }
}

@INPROCEEDINGS{KAHTF97:HASE
,  AUTHOR    = 
   {   Taghi M. Khoshgoftaar
   and Edward B. Allen
   and Robert Halstead
   and Gary P. Trio
   and Ronald Flass
   }
,  TITLE     = 
   {  Process Measures for Predicting Software Quality}
,  BOOKTITLE = 
   {  Proceedings of the
      IEEE High-Assurance Systems Engineering Workshop
   }
,  YEAR      = 1997
,  EDITOR    = {}
,  ORGANIZATION = IEEECS
,  MONTH     = aug
,  ADDRESS   = {Washington, DC}
,  PUBLISHER = {}
,  PAGES     = {}
,  NOTE      = {}
,  INDEXTERMS = {
      software process
   ,  software reuse
   ,  spiral life cycle
   ,  software quality modeling
   ,  logistic regression
   }
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ISBN      = {}
,  ABSTRACT  =
   {
   }
}

@ARTICLE{KAL97:JSS
,  AUTHOR    = 
   {   Taghi M. Khoshgoftaar 
   and Edward B. Allen
   and David L. Lanning
   }
,  TITLE     = 
   {  An Information Theory Based Approach
      to Quantifying the Contribution of a Software Metric
   }
,  JOURNAL   = {Journal of Systems and Software}
,  YEAR      = 1997
,  MONTH     = feb
,  VOLUME    = 36
,  NUMBER    = 2
,  PAGES     = {103--113}
,  NOTE      = {}
,  INDEXTERMS = {}
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ABSTRACT  =
   {
   }
}

@INPROCEEDINGS{KGARMGN97:ISSRE
,  AUTHOR    = 
   {  Taghi M. Khoshgoftaar
   and K. Ganesan
   and Edward B. Allen
   and Fletcher D. Ross
   and Rama Munikoti
   and Nishith Goel
   and Amit Nandi
   }
,  TITLE     = 
   {  Predicting Fault-Prone Modules 
      with Case-Based Reasoning
   }
,  BOOKTITLE =
   {  Proceedings of the 
      Eighth International Symposium on
      Software Reliability Engineering
   }
,  YEAR      = 1997
,  ORGANIZATION = IEEECS
,  MONTH     = nov
,  ADDRESS   = {Albuquerque, NM USA}
,  PUBLISHER = {}
,  PAGES     = {27--35}
,  NOTE      = {}
,  INDEXTERMS = {
      case-based reasoning
   ,  software metrics
   ,  software quality
   ,  fault-prone modules
   ,  nonparametric discriminant analysis
   ,  cost of misclassification
   }
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ISBN      = {0-8186-8120-9}
,  ABSTRACT  =
   {
Software quality classification models seek to predict 
quality factors 
such as whether a module will be fault-prone, or not.
Case-based reasoning (\textsc{cbr}) is a modeling technique
that seeks to answer new questions by identifying
similar ``cases'' from the past.
When applied to software reliability, 
the working hypothesis of our approach is this:
a module currently under development is probably fault-prone
if a module with similar product and process attributes
in an earlier release was fault-prone.
The contribution of this paper is application of
case-based reasoning to software quality modeling.
To the best of our knowledge, this is the first
time that case-based reasoning has been used to identify fault-prone
modules. 

A case study illustrates our approach
and provides evidence that case-based reasoning can 
be the basis for useful software quality classification models
that are competitive with discriminant models.
The case study revisits data from a previously published 
nonparametric discriminant analysis study.
The Type II misclassification rate of the \textsc{cbr} model
was substantially better than that of
the discriminant model.
Although the Type I misclassification rate was slightly greater
and the overall misclassification rate was only slightly less,
the \textsc{cbr} model was preferred
when costs of misclassification were considered.
   }
}


@INCOLLECTION{MK97:ASM
,  AUTHOR    = {John C. Munson and Taghi M. Khoshgoftaar}
,  TITLE     = {Measuring Dynamic Program Complexity}
,  BOOKTITLE = {Applying Software Metrics}
,  PUBLISHER = {IEEE Computer Society Press}
,  YEAR      = 1997
,  EDITOR    = {Paul Oman and Shari Lawrence Pfleeger}
,  ADDRESS   = {Los Alamitos, CA}
,  CHAPTER   = 4
,  PAGES     = {232--239}
,  NOTE      = {Reprint of Munson and Khoshgoftaar {\em IEEE Software}. 1992.}
,  MONTH     = {}
,  INDEXTERMS = {}
,  ANNOTE    = {}
,  INLIBRARY = {QA76.76.Q35A67 1997}
,  ISBN      = {0-8186-7645-0}
,  ABSTRACT  =
   {
   }
}




@ARTICLE{SGAD97:IJSS
,  AUTHOR    = 
   {   Samuel M. Smith
   and K. Ganesan
   and P. Edgar An
   and Stanley E. Dunn
   }
,  TITLE     =
   {  Strategies for Simultaneous Multiple {AUV} 
      Operations and Control
   }
,  JOURNAL   = {International Journal of Systems Science}
,  YEAR      = 1997
,  MONTH     = {}
,  VOLUME    = {}
,  NUMBER    = {}
,  PAGES     = {}
,  NOTE      = {Special issue on sub-sea robotics.}
,  INDEXTERMS = {}
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ABSTRACT  =
   {
   }
}

@INPROCEEDINGS{SAGPD97:UIC
,  AUTHOR    =
   {   Samuel M. Smith
   and P. Edgar An
   and K. Ganesan
   and Joseph Park
   and Stanley E. Dunn
   }
,  TITLE     =
   {  Design and Application of Field Reconfigurable
      Autonomous Underwater Vehicles
   }
,  BOOKTITLE =
   {  Proceedings of the 
      Underwater Intervention Conference
   }
,  YEAR      = 1997
,  EDITOR    = {}
,  ORGANIZATION = {}
,  MONTH     = feb
,  ADDRESS   = {Houston, TX USA}
,  PUBLISHER = {}
,  PAGES     = {}
,  NOTE      = {}
,  INDEXTERMS = {}
,  ANNOTE    = {}
,  INLIBRARY = {}
,  ISBN      = {}
,  ABSTRACT  =
   {
   }
}