In this paper, we develop methods that use logged user data to build models of a web application. Logged user data captures dynamic behavior of an application that can be useful for addressing the challenging problems of testing web applications. Our approach automatically builds statistical models of user sessions and automatically derives test cases from these models. We provide several alternative modeling approaches based on statistical machine learning methods. We investigate the effectiveness of the test suites generated from our methods by performing a preliminary study that evaluates the generated test cases. The results of this study demonstrate that our techniques are able to generate test cases that achieve high coverage and accurately model user behavior. This study provides insights into improving our methods and motivates a larger study with a more diverse set of applications and testing metrics.
In this paper, we develop methods that use logged user data to build models of a web application. Logged user data captures dynamic behavior of an application that can be useful for addressing the challenging problems of testing web applications. Our approach automatically builds statistical models of user sessions and automatically derives test cases from these models. We provide several alternative modeling approaches based on statistical machine learning methods. We investigate the effectiveness of the test suites generated from our methods by performing a preliminary study that evaluates the generated test cases. The results of this study demonstrate that our techniques are able to generate test cases that achieve high coverage and accurately model user behavior. This study provides insights into improving our methods and motivates a larger study with a more diverse set of applications and testing metrics.
Any process that substantially diminishes arterial blood flow or arterial oxygen content to the liver can result in hypoxic (ischaemic) hepatitis. 90% of hypoxic hepatitis occurs in unstable patients in intensive care units with haemodynamic failure secondary to heart failure, respiratory failure and toxic shock. The rate of in-hospital mortality in hypoxic hepatitis is very high with studies recording mortalities of 61.5%. It tends to be very uncommon in healthy, young patients with no underlying medical problems. We report here the case of a young healthy athlete who developed heat stroke associated with rhabdomyolysis and hypoxic hepatitis while he was running the final stages of a marathon. The patient required intensive care admission and inotropic support for a few hours after he was admitted with heat stroke. He underwent a rapid recovery after he was resuscitated with fluids. N-acetyl cysteine was also given during the acute stage of the hepatitis. This case highlights an uncommon case of hypoxic hepatitis in a young, healthy patient secondary to hypotension and heat stroke. Inotropic support might have precipitated the hypoxic hepatitis in this young patient.
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