An open source software framework for the implementation of an open systems architecture, run-time system

2012 ◽  
Author(s):  
Matt Cornish ◽  
Anand Jain ◽  
Malcolm Brown ◽  
Teresa Lopes
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Open Systems ◽  
Software Framework ◽  
Time System ◽  
Systems Architecture ◽  
Run Time

Project Esky: an Open Source Software Framework for High Fidelity Extended Reality

2021 ◽  
Author(s):  
Damien Rompapas ◽  
Charlton Rodda ◽  
Bryan Christopher Brown ◽  
Noah Benjamin Zerkin ◽  
Alvaro Cassinelli
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Framework ◽  
High Fidelity

Towards a Conceptual Framework for Open Systems Developments

2014 ◽  
Vol 7 (1) ◽  
pp. 41-54 ◽  
Author(s):  
James A. Cowling ◽  
Christopher V. Morgan ◽  
Robert Cloutier
Keyword(s):  
Conceptual Framework ◽  
Open Source ◽  
Systems Engineering ◽  
Open Source Software ◽  
Open Systems ◽  
System Development ◽  
Systems Development ◽  
Software Projects ◽  
Engineering Discipline ◽  
Development Approach

The systems engineering discipline has made great strides in developing a manageable approach to system development. This is predicated on thoroughly articulating the stakeholder requirements. However, in some engineering environments, requirements are changing faster than they can be captured and realized, making this ‘traditional' form of systems engineering less tenable. An iterative system refinement approach, characterized by open systems developments, may be a more appropriate and timely response for fast-changing needs. The open systems development approach has been utilized in a number of domains including open source software, Wikipedia®, and open innovation in manufacturing. However, open systems development appears difficult to recreate successfully, and while domain tradecraft advice is often available, no engineering management methodology has emerged to improve the likelihood of success. The authors discuss the essential features of openness in these three domains and use them to propose a conceptual framework for the further exploration of the effect of governance in determining success in such open endeavors. It is the authors' hope that further research to apply this conceptual framework to open source software projects may reveal some rudimentary elements of a management methodology for environments where requirements are highly uncertain, volatile, or ‘traditional' systems engineering is otherwise sub-optimal.

scholarly journals RedHerd: Offensive Cyberspace Operations as a Service

Signals ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 619-636
Author(s):  
Giovanni Pecoraro ◽  
Mario D’Amico ◽  
Simon Pietro Romano
Keyword(s):  
Open Source ◽  
Open Systems ◽  
Systems Architecture ◽  
Cost Constraints ◽  
Simulation Based ◽  
Simulation And Training ◽  
Knowledge Requirements ◽  
Service Paradigm ◽  
Cyber Kill Chain ◽  
And Training

Nowadays, time, scope and cost constraints along with knowledge requirements and personnel training constitute blocking restrictions for effective Offensive Cyberspace Operations (OCO). This paper presents RedHerd, an open-source, collaborative and serverless orchestration framework that overcomes these limitations. RedHerd leverages the ‘as a Service’ paradigm in order to seamlessly deploy a ready-to-use infrastructure that can be also adopted for effective simulation and training purposes, by reliably reproducing a real-world cyberspace battlefield in which red and blue teams can challenge each other. We discuss both the design and implementation of the proposed solution, by focusing on its main functionality, as well as by highlighting how it perfectly fits the Open Systems Architecture design pattern, thanks to the adoption of both open standards and wide-spread open-source software components. The paper also presents a complete OCO simulation based on the usage of RedHerd to perform a fictitious attack and fully compromise an imaginary enterprise following the Cyber Kill Chain (CKC) phases.

scholarly journals met: Expanding on old estimations of biodiversityfrom eDNA with a new software framework

2021 ◽  
Author(s):  
David Molik ◽  
Caroline DeVoto ◽  
Daniel Molik
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Spatial Scales ◽  
Environmental Dna ◽  
Software Framework ◽  
Large Numbers ◽  
Frame Work ◽  
Standing Problem

(1) Motivation: A long standing problem in Environmental DNA has been the inability to compute across large number of datasets. Here we introduce an Open Source software frame work that can store a large number of Environmental DNA datasets, as well as provide a platform for analysis, in an easily customizable way. We show the utility of such an approach by analyzing over 1400 arthropod datasets. (2) Results: This article introduces a new software framework, met, which utilizes large numbers ofmetabarcode datasets to draw conclusions about patterns of diversity at large spatial scales. Given more accurate estimations on the distribution of variance in metabarcode datasets, this software framework could facilitate novel analyses that are outside the scope of currently available similar platforms. (3) Availability: All code are published under the Mozilla Public License ver 2.0 on the met project page: https://doi.org/10.17605/OSF.IO/SPB8V

scholarly journals OpenSAFELY NHS Service Restoration Observatory 1: describing trends and variation in primary care clinical activity for 23.3 million patients in England during the first wave of COVID-19

2021 ◽  
Author(s):  
Helen J Curtis ◽  
Brian MacKenna ◽  
Alex J Walker ◽  
Peter Inglesby ◽  
Richard Croker ◽  
...  
Keyword(s):  
Primary Care ◽  
Open Source ◽  
Respiratory Disease ◽  
Open Source Software ◽  
Laboratory Tests ◽  
Substantial Reduction ◽  
Clinical Activity ◽  
Software Framework ◽  
Service Restoration ◽  
Tract Infections

Background The COVID-19 pandemic has disrupted healthcare activity globally. The NHS in England stopped most non-urgent work by March 2020, but later recommended that services should be restored to near-normal levels before winter where possible. The authors are developing the OpenSAFELY NHS Service Restoration Observatory, using data to describe changes in service activity during COVID-19, and reviewing signals for action with commissioners, researchers and clinicians. Here we report phase one: generating, managing, and describing the data. Objective To describe the volume and variation of coded clinical activity in English primary care across 23.8 million patients records, taking respiratory disease and laboratory procedures as key examples. Methods Working on behalf of NHS England we developed an open source software framework for data management and analysis to describe trends and variation in clinical activity across primary care EHR data on 23.8 million patients; and conducted a population cohort-based study to describe activity using CTV3 coding hierarchy and keyword searches from January 2019-September 2020. Results Much activity recorded in general practice declined to some extent during the pandemic, but largely recovered by September 2020, with some exceptions. There was a large drop in coded activity for commonly used laboratory tests, with broad recovery to pre-pandemic levels by September. One exception was blood coagulation tests such as International Normalised Ratio (INR), with a smaller reduction (median tests per 1000 patients in 2020: February 8.0; April 6.2; September 7.0). The overall pattern of recording for respiratory symptoms was less affected, following an expected seasonal pattern and classified as no change from the previous year. Respiratory tract infections exhibited a sustained drop compared with pre-pandemic levels, not returning to pre-pandemic levels by September 2020. Various COVID-19 codes increased through the period. We observed a small decline associated with high level codes for long-term respiratory conditions such as chronic obstructive pulmonary disease (COPD) and asthma. Asthma annual reviews experienced a small drop but since recovered, while COPD annual reviews remain below baseline. Conclusions We successfully delivered an open source software framework to describe trends and variation in clinical activity across an unprecedented scale of primary care data. The COVD-19 pandemic led to a substantial change in healthcare activity. Most laboratory tests showed substantial reduction, largely recovering to near-normal levels by September 2020, with some important tests less affected. Records of respiratory infections decreased with the exception of codes related to COVID-19, whilst activity of other respiratory disease codes was mixed. We are expanding the NHS Service Restoration Observatory in collaboration with clinicians, commissioners and researchers and welcome feedback.

A Generic Open-Source Software Framework Supporting Scenario Simulations in Bioterrorist Crises

2013 ◽  
Vol 11 (S1) ◽  
pp. S134-S145 ◽  
Author(s):  
Alexander Falenski ◽  
Matthias Filter ◽  
Christian Thöns ◽  
Armin A. Weiser ◽  
Jan-Frederik Wigger ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Framework

scholarly journals Lifting Industrial Ecology Modeling to a New Level of Quality and Transparency: A Call for More Transparent Publications and a Collaborative Open Source Software Framework

2015 ◽  
Vol 19 (6) ◽  
pp. 937-949 ◽  
Author(s):  
Stefan Pauliuk ◽  
Guillaume Majeau‐Bettez ◽  
Christopher L. Mutel ◽  
Bernhard Steubing ◽  
Konstantin Stadler
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Industrial Ecology ◽  
Software Framework

scholarly journals Open source software framework for applications in aeronautics and space

2012 ◽  
Author(s):  
D. Seider ◽  
P. M. Fischer ◽  
M. Litz ◽  
A. Schreiber ◽  
A. Gerndt
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Framework
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