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-\documentclass{article}
-
-\usepackage[a4paper]{geometry}
-\usepackage{hyperref}
-\usepackage{amsmath}
-
-\title{INFO5993 \\ Research outline}
-\author{Carlo Zancanaro}
-
-\begin{document}
-\maketitle
-
-\section{Introduction}
-
-As my research contribution I intend to implement an algorithm presented in
-\cite{gawlitza} for solving systems of fixpoint-equations for their least
-solutions. I will then utilise this algorithm for the implementation of a static
-analysis pass, interpreting program semantics over zones, within the LLVM
-compiler framework. Finally I will be evaluating this new technique to determine
-whether it is of practical use in real-world static analysis.
-
-\section{Technologies}
-
-My implementation will be provided in the {\tt C++} programming language, as it
-is the language in which LLVM has been written. It will primarily be designed to
-analyse programs written in the {\tt C} language.
-
-At the conclusion of my thesis I will have an implementation of the above
-algorithm implemented as an LLVM optimisation/analysis pass. This will plug in
-to the LLVM/Clang static-analysis framework in order to leverage the significant
-work that has been done on the LLVM project. This will also mean that I do not
-have to write a complete parser for the {\tt C} programming language (which
-would no doubt be a long and error-prone operation).
-
-\section{Evaluation}
-
-To evaluate the algorithm I will be investigating two factors: execution time
-and analysis range.
-
-\subsection{Execution time}
-
-Given the increased precision of results provided by the above algorithm I will
-be interested in determining the runtime performance of the algorithm. Static
-analysis is traditionally a slow process and so any speed-gains which can be
-made will be especially beneficial to real world applications. This will also
-mean that my optimisations must be especially aggressive to ensure that there is
-no missed opportunity for speed gains to be made.
-
-\subsection{Analysis range}
-
-In the above algorithm there is a trade-off made wherein we sacrifice the
-generality of the algorithm to provide more precise results. An important factor
-in the utility of this algorithm will be whether it is applicable to the
-majority of real-world code. The restrictions in the paper seem to be general
-enough to encompass a large amount of existing code, but it remains to be shown
-empirically whether this is the case.
-
-\section{Conclusion}
-
-My thesis will consist of implementing and evaluating a new approach to
-fixpoint-iteration in order to perform abstract interpretation over zones for
-the verification of program invariants. This implementation will be done within
-the LLVM-compiler framework. The evaluation will particularly consider factors
-of execution time and analysis range of the algorithm.
-
-\bibliographystyle{abbrv}
-\bibliography{references.bib}
-\end{document}