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authorCarlo Zancanaro <carlo@pc-4w14-0.cs.usyd.edu.au>2012-11-21 19:56:50 +1100
committerCarlo Zancanaro <carlo@pc-4w14-0.cs.usyd.edu.au>2012-11-21 19:56:50 +1100
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Thesis writing! Yum yum!
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\chapter{Introduction}
-The introduction goes in here. \newcite{clark-curran:07} did something inline. And here they did something not inline \cite{clark-curran:07}.
+\section{Motivation}
+Software bugs are bad. Bugs have significant costs in terms of time,
+money, security and lives. Hailpern and Santhanam state that
+debugging, verification and testing can easily range from 50\% to 75\%
+of the total development cost of a
+system\cite{Hailpern01softwaredebugging}.
+
+\section{Contribution}
+
+In this thesis we present an implementation of the strategy-iteration
+based static analyser presented by Gawlitza et
+al.\cite{EasyChair:117}. Our implementation has several enhancements
+which significantly improve the practical performance of the analyser
+on real-world data.
+
+Theoretical contribution:
+\begin{enumerate}
+\item
+ We present a demand-driven strategy improvement algorithm for
+ solving monotonic, expansive equation systems involving $\min$ and
+ $\max$ operators
+\end{enumerate}
+
+Systems contribution:
+\begin{enumerate}
+\item
+ We develop a solver for monotonic, expansive equation systems based
+ on the work of Gawlitza et al.\cite{EasyChair:117} with several
+ improvements
+\item
+ We analyse the performance of our improved solver on a set of
+ equation systems to demonstrate the effect of our improvements
+\item
+ We integrate our solver into the LLVM framework to perform analysis
+ over Zones\cite{mine:padoII}
+\item
+ We analyse the performance of our LLVM analysis on various program inputs
+\end{enumerate}