Introduction: Mapping Gwen John: Lives, Lines and Images

Nomadic Narratives, Visual Forces explores issues, questions, and problems emerging in the analysis of epistolary and visual narratives. This book focuses in particular on Gwen John's letters and paintings. It offers an innovative theoretical approach to narrative analysis by drawing on Foucault's theory of power, Deleuze and Guattari's analytics of desire, and Cavarero's concept of the narratable self. Furthermore, it examines the use of letters as documents of life in narrative research and highlights the dynamics of spatiality in the constitution of the female self in art. This study brings together theoretical insights that emerge from the analysis of life documents - some of them previously unpublished - combining innovative research with specific methodological suggestions on doing narrative analysis.

ORBS and the limits of static slicing

Observation-based slicing is a recently-introduced, language-independent, slicing technique based on the dependencies observable from program behaviour. Due to the wellknown limits of dynamic analysis, we may only compute an under-approximation of the true observation-based slice. However, because the observation-based slice captures all possible dependence that can be observed, even such approximations can yield insight into the limitations of static slicing. For example, a static slice, S that is strictly smaller than the corresponding observation based slice is guaranteed to be unsafe. We present the results of three sets of experiments on 12 different programs, including benchmarks and larger programs, which investigate the relationship between static and observation-based slicing. We show that, in extreme cases, observation-based slices can find the true static minimal slice, where static techniques cannot. For more typical cases, our results illustrate the potential for observation-based slicing to highlight unsafe static slices. Finally, we report on the sensitivity of observation-based slicing to test quality.