Land grabbing, investors, and indigenous peoples: new legal strategies for an old practice?

This article examines how new legal strategies need to be adopted by indigenous peoples to react to the increasing phenomenon of ‘land grabbing’ taking place across the globe. In examining the specificity of the ‘land grab’ and how it particularly affects indigenous peoples, it analyses how new legal strategies targeting the investors need to be adopted by communities to mitigate some of the negative aspects of land grabbing. It argues that since the current ‘land grab’ is driven by investors it is important that indigenous peoples, and their supportive organisations, target investors and lending institutions which are behind the massive investments in land acquisitions.

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.