26 research outputs found

    Red and Dead: Reply to critics

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    This article is a response to the comments made by Illan Rua Wall, Caroline Holmqvist, Claudia Aradau and Yari Lanci on my book War Power, Police Power (Edinburgh UP, 2014)

    La lógica de la pacificación: Guerra-policía-acumulación

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    This article argues that the concept of pacification allows us to understand the productive role that state violence plays in securing capital and fabricating bourgeois order. Using the long history of ruling class thinking on the theory and practice of pacification, the article claims that for tactical purposes critical theory really needs to re-appropriate the term ‘pacification’ to help grasp the nature of the violence at the heart of systematic colonization. This is a violence that is sold to us as ‘peace and security’

    A Second Reply to Stephen Eric Bronner

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    Datadriven testfallsdesign av automatiska testfall med Markovkedjor och en Markov chain Monte Carlo-metod

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    Large and complex software that is frequently changed leads to testing challenges. It is well established that the later a fault is detected in software development, the more it costs to fix. This thesis aims to research and develop a method of generating relevant and non-redundant test cases for a regression test suite, to catch bugs as early in the development process as possible. The research was executed at Axis Communications AB with their products and systems in mind. The approach utilizes user data to dynamically generate a Markov chain model and with a Markov chain Monte Carlo method, strengthen that model. The model generates test case proposals, detects test gaps, and identifies redundant test cases based on the user data and data from a test suite. The sampling in the Markov chain Monte Carlo method can be modified to bias the model for test coverage or relevancy. The model is generated generically and can therefore be implemented in other API-driven systems. The model was designed with scalability in mind and further implementations can be made to increase the complexity and further specialize the model for individual needs
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