Monitoring Software

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The Experts below are selected from a list of 133812 Experts worldwide ranked by ideXlab platform

Bruce Gray - One of the best experts on this subject based on the ideXlab platform.

William N Robinson - One of the best experts on this subject based on the ideXlab platform.

  • Monitoring Software requirements using instrumented code
    Hawaii International Conference on System Sciences, 2002
    Co-Authors: William N Robinson
    Abstract:

    Ideally, Software is derived from requirements whose properties have been established as good. However, it is difficult to define and analyze requirements. Moreover derivation of Software from requirements is error prone. Finally, the installation and use of compiled Software can introduce errors. Thus, it can be difficult to provide assurances about the state of a Software's execution. We present a framework to monitor the requirements of Software as it executes. The framework is general, and allows for automated support. The current implementation uses a combination of assertion and model checking to inform the monitor. We focus on two issues: (1) the expression of "suspect requirements", and (2) the transparency of the Software and its environment to the monitor. We illustrate these issues with the widely known problems of the Dining Philosophers and the CCITT X.509 authentication. Each are represented as Java programs which are then instrumented and monitored.

Paul Ritvo - One of the best experts on this subject based on the ideXlab platform.

  • participant experiences in a smartphone based health coaching intervention for type 2 diabetes a qualitative inquiry
    Journal of Telemedicine and Telecare, 2016
    Co-Authors: Sarah Pludwinski, Farah Ahmad, Noah Wayne, Paul Ritvo
    Abstract:

    IntroductionWe investigated the experience of individuals diagnosed with type 2 diabetes mellitus (T2DM) who participated in an intervention in which the key elements were the provision of a smartphone and self-Monitoring Software. The interviews focused on use of a smartphone and the effects on motivation for health behavior change.MethodsThis was a qualitative evaluation of participants in a larger T2DM self-management randomized controlled trial (RCT) conducted at the Black Creek Community Health Centre (BCCHC) in Toronto, Canada (ClinicalTrials.gov Identifier: NCT02036892). The study is based on semi-structured interviews (n = 11) that were audio taped and analyzed with a thematic analytic approach. The RCT compared the effectiveness of six months of smartphone-based self-Monitoring and health coaching with a control group who received health coaching without internet or smartphone-based assistance.ResultsQualitative data analyses resulted in derivation of four major themes that describe participant e...

Kate Macgregor - One of the best experts on this subject based on the ideXlab platform.

S Kolos - One of the best experts on this subject based on the ideXlab platform.

  • a Software framework for data quality Monitoring in atlas
    Journal of Physics: Conference Series, 2008
    Co-Authors: S Kolos, A Corsoradu, H K Hadavand, M Hauschild, R Kehoe
    Abstract:

    Data Quality Monitoring (DQM) is an important and integral part of the data taking and data reconstruction of HEP experiments. In an online environment, DQM provides the shift crew with live information beyond basic Monitoring. This is used to overcome problems promptly and help avoid taking faulty data. During the off-line reconstruction DQM is used for more complex analysis of physics quantities and its results are used to assess the quality of the reconstructed data. The Data Quality Monitoring Software Framework (DQMF) which has been provided for the ATLAS experiment performs analysis of Monitoring data through user defined algorithms and relays the summary of the analysis results to the configurable Data Quality output stream. From this stream the results can be stored to a database, displayed on a GUI, or used to make some other relevant actions with respect to the operational environment i.e. sending alarms, stopping the run. This paper describes the implementation of the DQMF and discusses experience from usage and performance of the DQMF during ATLAS commissioning.

  • online Monitoring Software framework in the atlas experiment
    arXiv: High Energy Physics - Experiment, 2003
    Co-Authors: S Kolos, I Alexandrov, A Amorim, M Barczyk, E Badescu, D Burckhartchromek, Mihai Caprini, J Da Silva Conceicao, M Dobson, J Flammer
    Abstract:

    A fast, efficient and comprehensive Monitoring system is a vital part of any HEP experiment. This paper describes the Software framework that will be used during ATLAS data taking to monitor the state of the data acquisition and the quality of physics data in the experiment. The framework has been implemented by the Online Software group of the ATLAS Trigger&Data Acquisition (TDAQ) project and has already been used for several years in the ATLAS test beams at CERN. The inter-process communication in the framework is implemented via CORBA, which provides portability between different operating systems and programming languages. This paper will describe the design and the most important aspects of the online Monitoring framework implementation. It will also show some test results, which indicate the performance and scalability of the current implementation.