Cost-Optimisationof AnalyticalSoftware QualityAssurance

Analytical softwarequality assurance(SQA) constituteswith about 50% asignificant part ofthe totaldevelopment costsof a softwaresystem. Hence, itis a promising areaforcost-optimisation.Variousdefect-detectiontechniques can beused to improve thequality ofsoftware. The mainquestion is how touse those differenttechniques ina cost-optimal way.However, the costsand benefits of SQAand theinterrelationshipsof the influencingfactors are stillnot completelyunderstood.This book presentsan analytical andstochastic model ofthe economics ofanalyticalSQA. The model canbe used to analysedifferenttechniquestheoretically andto optimisethe SQA in acompany usinghistorical projectdata.Case studies weredone in variousdomains andevaluatingdifferenttechniques indifferentphases. All thesecase studiesprovided valuablefeedback on themodel and alsocontributed to thebody ofknowledge on theefficiency of thetechniques. The book is aimed at researchers and practitioners in software quality management.

Autorentext

Stefan Wagner works
as a post-doctoral
researcher at the
Software and Systems
Engineering
group at TU
München. He has
experience in
software quality from
various industrial
and academic
projects. He holds
a diploma in
Informatics, an MSc
in Distributed and
Multimedia
Information Systems
and a doctoral
degree in
Informatics.

Klappentext

Analytical software
quality assurance
(SQA) constitutes
with about 50% a
significant part of
the total
development costs
of a software
system. Hence, it
is a promising area
for
cost-optimisation.
Various
defect-detection
techniques can be
used to improve the
quality of
software. The main
question is how to
use those different
techniques in
a cost-optimal way.
However, the costs
and benefits of SQA
and the
interrelationships
of the influencing
factors are still
not completely
understood.
This book presents
an analytical and
stochastic model of
the economics of
analytical
SQA. The model can
be used to analyse
different
techniques
theoretically and
to optimise
the SQA in a
company using
historical project
data.
Case studies were
done in various
domains and
evaluating
different
techniques in
different
phases. All these
case studies
provided valuable
feedback on the
model and also
contributed to the
body of
knowledge on the
efficiency of the
techniques. The book is aimed at researchers and practitioners in software quality management.