498 research outputs found
Bringing Back-in-Time Debugging Down to the Database
With back-in-time debuggers, developers can explore what happened before
observable failures by following infection chains back to their root causes.
While there are several such debuggers for object-oriented programming
languages, we do not know of any back-in-time capabilities at the
database-level. Thus, if failures are caused by SQL scripts or stored
procedures, developers have difficulties in understanding their unexpected
behavior.
In this paper, we present an approach for bringing back-in-time debugging
down to the SAP HANA in-memory database. Our TARDISP debugger allows developers
to step queries backwards and inspecting the database at previous and arbitrary
points in time. With the help of a SQL extension, we can express queries
covering a period of execution time within a debugging session and handle large
amounts of data with low overhead on performance and memory. The entire
approach has been evaluated within a development project at SAP and shows
promising results with respect to the gathered developer feedback.Comment: 24th IEEE International Conference on Software Analysis, Evolution,
and Reengineerin
Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case
Industry 4.0 and the Internet of Things are recent developments that have
lead to the creation of new kinds of manufacturing data. Linking this new kind
of sensor data to traditional business information is crucial for enterprises
to take advantage of the data's full potential. In this paper, we present a
demo which allows experiencing this data integration, both vertically between
technical and business contexts and horizontally along the value chain. The
tool simulates a manufacturing company, continuously producing both business
and sensor data, and supports issuing ad-hoc queries that answer specific
questions related to the business. In order to adapt to different environments,
users can configure sensor characteristics to their needs.Comment: Accepted at International Conference on Database Systems for Advanced
Applications (DASFAA 2019
“Ninguém se sente bem sendo monitorado”: a percepção dos sujeitos sobre vigilância digital no contexto de pandemia
TCC (graduação) - Universidade Federal de Santa Catarina, Centro de Filosofia e Ciências Humanas, Ciências Sociais.Este Trabalho de Conclusão de Curso discute a percepção dos sujeitos sobre a aplicação de
dispositivos de vigilância digital no contexto de pandemia. Objetiva compreender as percepções
dos sujeitos de diferentes grupos e contextos sobre o assunto. Também discute a vigilância
digital e os seus dispositivos, identificando a forma como foram utilizados no controle da
pandemia no Brasil e no mundo, assim como os elementos que perpassam e influenciam a
decisão dos sujeitos de aderir tais dispositivos. A fundamentação teórica é baseada nas ideias
de vigilância e governamentalidade em Michel Foucault, governamentalidade algorítmica em
Antoinette Rouvroy, vigilância líquida em Zygmunt Bauman, capitalismo de vigilância em
Shoshana Zuboff e quarentena digitalizada em Deborah Lupton. Utiliza como metodologia uma
pesquisa exploratória com a utilização de dois grupos focais. Conclui que existe uma falta de
informação sobre as formas de aplicação da vigilância digital no cotidiano e que a vigilância
digital é um fenômeno complexo, com diversos atores envolvidos, fazendo com que decisão de
aderir ou não aos dispositivos em nome da saúde pública atravesse, para além da decisão
individual, questões sociais, culturais e políticas.This undergraduate thesis discusses the perception of subjects about the application of digital
surveillance devices in the context of a pandemic. It aims to understand the perceptions of
subjects from different groups and contexts on this matter. It also discusses digital surveillance
and its devices, identifying how they were used to control the pandemic in Brazil and in the
world, as well as the elements that permeate and influence the decision of subjects to adhere to
such devices. The theoretical foundation is based on the ideas of surveillance and
governmentality in Michel Foucault, algorithmic governmentality in Antoinette Rouvroy,
liquid surveillance in Zygmunt Bauman, surveillance capitalism in Shoshana Zuboff and
digitised quarantine in Deborah Lupton. It uses an exploratory research methodology with the
conduction of two focus groups. It concludes that there is a lack of information on the forms of
application of digital surveillance in daily life and that digital surveillance is a complex
phenomenon, with several actors involved, making the decision to adhere or not to the devices
in the name of public health cross, far beyond of only individual decision, social, cultural and
political issues
Allgemeine und besondere Auflösungen der in Uflakker's algebraischen Exempelbuche vorkommenden Aufgaben, welchen noch andere beigefügt worden / hrsg. J. Hilzheimer
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