Issues and Aspects of Open Source Software Usage and Adoption in the Public Sector

2011 ◽  
pp. 445-459
Author(s):  
Gabor Laszlo
Keyword(s):  
Public Sector ◽  
Open Source ◽  
Open Source Software ◽  
Research Work ◽  
Complex Model ◽  
Primary Objective ◽  
Public Authorities ◽  
The Public ◽  
Proposed Model ◽  
To Come

This chapter introduces L-PEST model as the proposed tool for better understanding the fi elds are influenced by motivations and adaptation policy on FLOSS of public authorities and governments. Software usage in the public sector is a highly complex topic. In the confines of this chapter the selected case studies will show consideration to the vastly different needs and capacities and the different approaches and motivations towards the utilization of FLOSS by governments and/or local authorities. The primary objective of this chapter is to identify and describe the actors associated to the usage of FLOSS within and by the public sector. This chapter has made an attempt to fill this research gap and place the different actors into one complex model. It is hoped the proposed model assists better clarifying the intricate relationship between relevant factors. Nevertheless, much more research work is needed in the years to come. According to Michel Sapin, French Minister in charge of Public Administration and e-Government (2001), “The next generation e-government has two requirements: interoperability and transparency. These are the two strengths of open source software. Therefore, I am taking little risk when I predict that open source software will take a crucial part in the development of e-Government in the years to come.”

Issues and Aspects of Open Source Software Usage and Adoption in the Public Sector

2009 ◽  
pp. 1577-1591
Author(s):  
Gabor Laszlo
Keyword(s):  
Public Sector ◽  
Open Source ◽  
Open Source Software ◽  
Research Work ◽  
Complex Model ◽  
Primary Objective ◽  
Public Authorities ◽  
The Public ◽  
Proposed Model ◽  
To Come

This chapter introduces L-PEST model as the proposed tool for better understanding the fields are influenced by motivations and adaptation policy on FLOSS of public authorities and governments. Software usage in the public sector is a highly complex topic. In the confines of this chapter the selected case studies will show consideration to the vastly different needs and capacities and the different approaches and motivations towards the utilization of FLOSS by governments and/or local authorities. The primary objective of this chapter is to identify and describe the actors associated to the usage of FLOSS within and by the public sector. This chapter has made an attempt to fill this research gap and place the different actors into one complex model. It is hoped the proposed model assists better clarifying the intricate relationship between relevant factors. Nevertheless, much more research work is needed in the years to come. According to Michel Sapin, French Minister in charge of Public Administration and e-Government (2001), “The next generation e-government has two requirements: interoperability and transparency. These are the two strengths of open source software. Therefore, I am taking little risk when I predict that open source software will take a crucial part in the development of e- Government in the years to come.”

scholarly journals Will You Come Back to Contribute? Investigating the Inactivity of OSS Core Developers in GitHub

2021 ◽  
Author(s):  
Fabio Calefato ◽  
Marco Aurelio Gerosa ◽  
Giuseppe Iaffaldano ◽  
Filippo Lanubile ◽  
Igor Fabio Steinmacher
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
State Transition ◽  
Active State ◽  
State Model ◽  
Novel Method ◽  
To Come ◽  
One Year ◽  
The Individual ◽  
To Receive

Abstract Several Open-Source Software (OSS) projects depend on the continuity of their development communities to remain sustainable. Understanding how developers become inactive or why they take breaks can help communities prevent abandonment and incentivize developers to come back. In this paper, we propose a novel method to identify developers’ inactive periods by analyzing the individual rhythm of contributions to the projects. Using this method, we quantitatively analyze the inactivity of core developers in 18 OSS organizations hosted on GitHub. We also survey core developers to receive their feedback about the identified breaks and transitions. Our results show that our method was effective for identifying developers’ breaks. About 94% of the surveyed core developers agreed with our state model of inactivity; 71% and 79% of them acknowledged their breaks and state transition, respectively. We also show that all core developers take breaks (at least once) and about a half of them (~ 45%) have completely disengaged from a project for at least one year. We also analyzed the probability of transitions to/from inactivity and found that developers who pause their activity have a ~ 35 to ~ 55% chance to return to an active state; yet, if the break lasts for a year or longer, then the probability of resuming activities drops to ~ 21–26%, with a ~ 54% chance of complete disengagement. These results may support the creation of policies and mechanisms to make OSS community managers aware of breaks and potential project abandonment.

scholarly journals Design of Cascaded CNN for Medical Image Super Resolution

2021 ◽  
Vol 7 (3) ◽  
pp. 22-29
Author(s):  
Kajol Singh ◽  
Manish Saxena
Keyword(s):  
Neural Networks ◽  
Medical Image ◽  
Research Work ◽  
Super Resolution ◽  
Primary Objective ◽  
Lighting Conditions ◽  
Proposed Model ◽  
Filter Size ◽  
Medical Image Reconstruction ◽  
Image Super Resolution

The images captured through a camera usually belong to over or under exposed conditions. The reason may be inappropriate lighting conditions or camera resolution. Hence, it is of utmost importance to have a few enhancement techniques that could make these artefacts look better. Hence, the primary objective pertaining to the adjustment and enhancement techniques is to enhance the characteristics of an image. The initial numeric values related to an image get distorted when an image is enhanced. Therefore, enhancement techniques should be designed in such a way that the image quality isn’t compromised. This research work is focused on proposed a network design for deep convolution neural networks for application of super resolution techniques. To improve the complexity of existing techniques this work is intended towards network designs, different filter size and CNN architecture. The CNN model is most effective model for detection and segmentation in image. This model will improve the efficiency of medical image reconstruction from LR to HR. The proposed model showed its efficiency not only PET medical images but also on retinal database and achieved advance results as compared to existing works.

scholarly journals Securing the wireless emergency alerts system

2021 ◽  
Vol 64 (10) ◽  
pp. 85-93
Author(s):  
Jihoon Lee ◽  
Gyuhong Lee ◽  
Jinsung Lee ◽  
Youngbin Im ◽  
Max Hollingsworth ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Defined Radio ◽  
Severe Weather ◽  
Base Stations ◽  
The Public ◽  
Software Libraries ◽  
Amber Alerts ◽  
Almost All ◽  
To Receive

Modern cell phones are required to receive and display alerts via the Wireless Emergency Alert (WEA) program, under the mandate of the Warning, Alert, and Response Act of 2006. These alerts include AMBER alerts, severe weather alerts, and (unblockable) Presidential Alerts, intended to inform the public of imminent threats. Recently, a test Presidential Alert was sent to all capable phones in the U.S., prompting concerns about how the underlying WEA protocol could be misused or attacked. In this paper, we investigate the details of this system and develop and demonstrate the first practical spoofing attack on Presidential Alerts, using commercially available hardware and modified open source software. Our attack can be performed using a commercially available software-defined radio, and our modifications to the open source software libraries. We find that with only four malicious portable base stations of a single Watt of transmit power each, almost all of a 50,000-seat stadium can be attacked with a 90% success rate. The real impact of such an attack would, of course, depend on the density of cellphones in range; fake alerts in crowded cities or stadiums could potentially result in cascades of panic. Fixing this problem will require a large collaborative effort between carriers, government stakeholders, and cellphone manufacturers. To seed this effort, we also propose three mitigation solutions to address this threat.

Review of Open Source Software (OSS)

2012 ◽  
pp. 26-40
Author(s):  
Bhasker Mukerji ◽  
Ramaraj Palanisamy
Keyword(s):  
Developing Countries ◽  
Public Sector ◽  
Open Source ◽  
Open Source Software ◽  
Low Cost ◽  
Source Code ◽  
Developed Countries ◽  
Economic Resources ◽  
Large Pool ◽  
Public Sector Organizations

The popularity of Open Source Software (OSS) in developing countries is quiet evident from its widespread adoption across government departments and public sector organizations. The use of OSS saves economic resources of cash starved countries, provides an opportunity to promote e-government, and to utilize their resources in other sectors. Many developing countries have a large pool of skilled developers who can modify the source code of the OSS at a very low cost. Many governments in developing and developed countries have switched to OSS which probably encourages others to follow the trend. It was not possible to follow the adoption trend in all the developing countries but the usage of OSS in countries like India, Brazil, and Venezuela provides us an insight. The successful adoption of OSS requires thorough analysis of its advantages as well as the issues associated with it. This chapter will provide an overview of OSS, characteristics of OSS developers, and their motivation to volunteer by contributing in OSS projects, followed by the advantages and issues associated with OSS.

Public Procurement and Transparency in the Private Sector

2021 ◽  
pp. 176-194
Author(s):  
Tom Brown
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
General Public ◽  
Public Procurement ◽  
Public Authorities ◽  
Procurement Process ◽  
The Public ◽  
The United Kingdom ◽  
Pay Differences ◽  
United Kingdom Government

This chapter begins by considering public procurement in the context of equality duties. The United Kingdom government has not used the Equality Act 2010’s regulation-making powers to impose specific statutory public procurement equality duties in England, but the Welsh and Scottish Ministers have made such regulations. Equality considerations are nonetheless relevant considerations in a public authority’s public procurement decisions as part of the general public sector equality duty in section 149 of the Act. The extent to which equality can (and should) be taken into account in the public procurement process is also, therefore, relevant to private undertakings which might wish to tender for the provision of goods or services to public authorities. The chapter then addresses the provisions in the Act intended to improve transparency in the private sector by prohibiting clauses which prevent employees discussing their pay. The Act introduced, in section 78, a power to make regulations which would impose a requirement on businesses to report on gender pay differences.

Prospects of Open Source Software for Maximizing the User Expectations in Heterogeneous Network

2021 ◽  
pp. 257-271
Author(s):  
Pushpa Singh ◽  
Rajeev Agrawal
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Real Time ◽  
Open Source Software ◽  
Heterogeneous Networks ◽  
Heterogeneous Network ◽  
Research Work ◽  
Software Tool ◽  
Knn Classifier ◽  
User Expectations

This article focuses on the prospects of open source software and tools for maximizing the user expectations in heterogeneous networks. The open source software Python is used as a software tool in this research work for implementing machine learning technique for the categorization of the types of user in a heterogeneous network (HN). The KNN classifier available in Python defines the type of user category in real time to predict the available users in a particular category for maximizing profit for a business organization.

Open Source Software Adoption

2009 ◽  
pp. 1675-1698 ◽  
Author(s):  
Brian Fitzgerald
Keyword(s):  
Public Sector ◽  
Open Source ◽  
Open Source Software ◽  
Longitudinal Case Study ◽  
Software Adoption ◽  
Public Sector Organization ◽  
Desktop Application ◽  
Depth Study ◽  
Over Time

Current estimates suggest widespread adoption of open source software (OSS) in organizations worldwide. However, the problematic nature of OSS adoption is readily evidenced in the fairly frequent reports of problems, unforeseen hold-ups, and outright abandonment of OSS implementation over time. Hibernia Hospital, an Irish public sector organization, have embarked on the adoption of a range of OSS applications over several years, some of which have been successfully deployed and remain in live use within the organisation, whereas others, despite achieving high levels of assimilation over a number of years, have not been ultimately retained in live use in the organization. Using a longitudinal case study, we discuss in depth the deployment process for two OSS applications – the desktop application suite whose deployment was unsuccessful ultimately, and the email application which was successfully deployed. To our knowledge, this is the first such in-depth study into successful and unsuccessful OSS implementation.

Sign in / Sign up

Export Citation Format

Share Document