The Experts below are selected from a list of 144534 Experts worldwide ranked by ideXlab platform

Ralf Kneuper - One of the best experts on this subject based on the ideXlab platform.

  • integrating data protection into the software Life Cycle
    Product Focused Software Process Improvement, 2019
    Co-Authors: Ralf Kneuper
    Abstract:

    Data protection has become increasingly important in recent years, partly due to the EU General Data Protection Regulation (GDPR) and similar legislations in other countries, but also because of various privacy scandals which led to bad press for the affected companies. Since most of the processing of the relevant personal data is performed by software, data protection needs to be addressed in the development of software. This paper therefore investigates how to incorporate data protection in the software Life Cycle. Based on a simple default Life Cycle Model, the main questions to ask and issues to address in the various phases are summarized. These questions and issues are independent of the exact Life Cycle Model used, whether plan-driven, agile or some hybrid, and can therefore easily be mapped to some other Model. Not surprisingly, data protection mainly affects the analysis and design of software systems (“privacy by design”) when the data to be processed and stored as well as the form of processing and the protection mechanisms to be used are defined. Nevertheless, to some extent the entire Life Cycle down to withdrawal is affected.

  • sixty years of software development Life Cycle Models
    IEEE Annals of the History of Computing, 2017
    Co-Authors: Ralf Kneuper
    Abstract:

    Sixty years ago, in 1956, the first explicit representation of a software development Life Cycle Model was presented by Herbert Benington. Since then, software development Life Cycle Models have come a long way, and the current article provides an overview of that development.

Anita Bregenzer - One of the best experts on this subject based on the ideXlab platform.

  • integration of ehealth tools in the process of workplace health promotion proposal for design and implementation
    Journal of Medical Internet Research, 2018
    Co-Authors: Paulino Jimenez, Anita Bregenzer
    Abstract:

    Background: Electronic health (eHealth) and mobile health (mHealth) tools can support and improve the whole process of workplace health promotion (WHP) projects. However, several challenges and opportunities have to be considered while integrating these tools in WHP projects. Currently, a large number of eHealth tools are developed for changing health behavior, but these tools can support the whole WHP process, including group administration, information flow, assessment, intervention development process, or evaluation. Objective: To support a successful implementation of eHealth tools in the whole WHP processes, we introduce a concept of WHP (Life Cycle Model of WHP) with 7 steps and present critical and success factors for the implementation of eHealth tools in each step. Methods: We developed a Life Cycle Model of WHP based on the World Health Organization (WHO) Model of healthy workplace continual improvement process. We suggest adaptations to the WHO Model to demonstrate the large number of possibilities to implement eHealth tools in WHP as well as possible critical points in the implementation process. Results: eHealth tools can enhance the efficiency of WHP in each of the 7 steps of the presented Life Cycle Model of WHP. Specifically, eHealth tools can support by offering easier administration, providing an information and communication platform, supporting assessments, presenting and discussing assessment results in a dashboard, and offering interventions to change individual health behavior. Important success factors include the possibility to give automatic feedback about health parameters, create incentive systems, or bring together a large number of health experts in one place. Critical factors such as data security, anonymity, or lack of management involvement have to be addressed carefully to prevent nonparticipation and dropouts. Conclusions: Using eHealth tools can support WHP, but clear regulations for the usage and implementation of these tools at the workplace are needed to secure quality and reach sustainable results. [J Med Internet Res 2018;20(2):e65]

  • integration of ehealth tools in the process of workplace health promotion proposal for design and implementation
    Journal of Medical Internet Research, 2018
    Co-Authors: Paulino Jimenez, Anita Bregenzer
    Abstract:

    Background: Electronic health (eHealth) and mobile health (mHealth) tools can support and improve the whole process of workplace health promotion (WHP) projects. However, several challenges and opportunities have to be considered while integrating these tools in WHP projects. Currently, a large number of eHealth tools are developed for changing health behavior, but these tools can support the whole WHP process, including group administration, information flow, assessment, intervention development process, or evaluation. Objective: To support a successful implementation of eHealth tools in the whole WHP processes, we introduce a concept of WHP (Life Cycle Model of WHP) with 7 steps and present critical and success factors for the implementation of eHealth tools in each step. Methods: We developed a Life Cycle Model of WHP based on the World Health Organization (WHO) Model of healthy workplace continual improvement process. We suggest adaptations to the WHO Model to demonstrate the large number of possibilities to implement eHealth tools in WHP as well as possible critical points in the implementation process. Results: eHealth tools can enhance the efficiency of WHP in each of the 7 steps of the presented Life Cycle Model of WHP. Specifically, eHealth tools can support by offering easier administration, providing an information and communication platform, supporting assessments, presenting and discussing assessment results in a dashboard, and offering interventions to change individual health behavior. Important success factors include the possibility to give automatic feedback about health parameters, create incentive systems, or bring together a large number of health experts in one place. Critical factors such as data security, anonymity, or lack of management involvement have to be addressed carefully to prevent nonparticipation and dropouts. Conclusions: Using eHealth tools can support WHP, but clear regulations for the usage and implementation of these tools at the workplace are needed to secure quality and reach sustainable results.

Arturo I Concepcion - One of the best experts on this subject based on the ideXlab platform.

  • using an object oriented software Life Cycle Model in the software engineering course
    Technical Symposium on Computer Science Education, 1998
    Co-Authors: Arturo I Concepcion
    Abstract:

    An object-oriented software Life-Cycle Model, the Modified Spiral Model, was successfully used as the software process in the software engineering course in the Department of Computer Science, California State University, San Bernardino. The Model lends itself quite naturally to the object-oriented approach of producing software systems in the iterative and incremental manner. The software engineering class is run like a virtual software company which is composed of teams and team leaders where performance is measured on being able to submit the software deliverables and the success of the task(s) assigned to the team. The paper reports on the implementation of the software project, Algorithma (Algorithm Animation), in the virtual software company using the Modified Spiral Model.

Johanna Wallenius - One of the best experts on this subject based on the ideXlab platform.

  • a Life Cycle Model of health and retirement the case of swedish pension reform
    Journal of Public Economics, 2015
    Co-Authors: Tobias Laun, Johanna Wallenius
    Abstract:

    Abstract Sweden is one of the few Western economies to have undertaken a large pension reform in recent years. This was done with great expectations, but little formal analysis. In this paper we develop a Life Cycle labor supply Model to quantify the predicted labor supply implications of this reform. In our framework, individuals choose when to stop working and, given eligibility criteria, when/if to apply for disability and pension benefits. Agents are heterogeneous in skills and receive exogenous shocks to health throughout their Life. We find that the new pension system creates large incentives for the continued employment of older workers. This is promising news for countries grappling with pension reform, and indicates that there are significant lessons to be learned from the Swedish case.

  • a Life Cycle Model of health and retirement the case of swedish pension reform
    2012
    Co-Authors: Tobias Laun, Johanna Wallenius
    Abstract:

    In this paper we develop a Life Cycle Model of labor supply and retirement to study the interactions between health and the labor supply behavior of older workers, in particular disability insurance and pension claiming. In our framework, individuals choose when to stop working and, given eligibility criteria, when/if to apply for disability and pension benefits. Individuals care about their health and can partially insure against health shocks by investing in health. We use the Model to study the labor supply implications of the recent Swedish pension reform. We find that the new pension system creates big incentives for the continued employment of older workers. In particular, the Model predicts an increase in the average retirement age of more than two years.

  • micro and macro elasticities in a Life Cycle Model with taxes
    National Bureau of Economic Research, 2007
    Co-Authors: Richard Rogerson, Johanna Wallenius
    Abstract:

    We build a Life Cycle Model of labor supply that incorporates changes along both the intensive and extensive margin and use it to assess the consequences of changes in tax and transfer policies on equilibrium hours of work. We find that changes in taxes have large aggregate effects on hours of work. Moreover, we find that there is no inconsistency between this result and the empirical finding of small labor elasticities for prime age workers. In our Model, micro and macro elasticities are effectively unrelated. Our Model is also consistent with other cross-country patterns.

Paulino Jimenez - One of the best experts on this subject based on the ideXlab platform.

  • integration of ehealth tools in the process of workplace health promotion proposal for design and implementation
    Journal of Medical Internet Research, 2018
    Co-Authors: Paulino Jimenez, Anita Bregenzer
    Abstract:

    Background: Electronic health (eHealth) and mobile health (mHealth) tools can support and improve the whole process of workplace health promotion (WHP) projects. However, several challenges and opportunities have to be considered while integrating these tools in WHP projects. Currently, a large number of eHealth tools are developed for changing health behavior, but these tools can support the whole WHP process, including group administration, information flow, assessment, intervention development process, or evaluation. Objective: To support a successful implementation of eHealth tools in the whole WHP processes, we introduce a concept of WHP (Life Cycle Model of WHP) with 7 steps and present critical and success factors for the implementation of eHealth tools in each step. Methods: We developed a Life Cycle Model of WHP based on the World Health Organization (WHO) Model of healthy workplace continual improvement process. We suggest adaptations to the WHO Model to demonstrate the large number of possibilities to implement eHealth tools in WHP as well as possible critical points in the implementation process. Results: eHealth tools can enhance the efficiency of WHP in each of the 7 steps of the presented Life Cycle Model of WHP. Specifically, eHealth tools can support by offering easier administration, providing an information and communication platform, supporting assessments, presenting and discussing assessment results in a dashboard, and offering interventions to change individual health behavior. Important success factors include the possibility to give automatic feedback about health parameters, create incentive systems, or bring together a large number of health experts in one place. Critical factors such as data security, anonymity, or lack of management involvement have to be addressed carefully to prevent nonparticipation and dropouts. Conclusions: Using eHealth tools can support WHP, but clear regulations for the usage and implementation of these tools at the workplace are needed to secure quality and reach sustainable results. [J Med Internet Res 2018;20(2):e65]

  • integration of ehealth tools in the process of workplace health promotion proposal for design and implementation
    Journal of Medical Internet Research, 2018
    Co-Authors: Paulino Jimenez, Anita Bregenzer
    Abstract:

    Background: Electronic health (eHealth) and mobile health (mHealth) tools can support and improve the whole process of workplace health promotion (WHP) projects. However, several challenges and opportunities have to be considered while integrating these tools in WHP projects. Currently, a large number of eHealth tools are developed for changing health behavior, but these tools can support the whole WHP process, including group administration, information flow, assessment, intervention development process, or evaluation. Objective: To support a successful implementation of eHealth tools in the whole WHP processes, we introduce a concept of WHP (Life Cycle Model of WHP) with 7 steps and present critical and success factors for the implementation of eHealth tools in each step. Methods: We developed a Life Cycle Model of WHP based on the World Health Organization (WHO) Model of healthy workplace continual improvement process. We suggest adaptations to the WHO Model to demonstrate the large number of possibilities to implement eHealth tools in WHP as well as possible critical points in the implementation process. Results: eHealth tools can enhance the efficiency of WHP in each of the 7 steps of the presented Life Cycle Model of WHP. Specifically, eHealth tools can support by offering easier administration, providing an information and communication platform, supporting assessments, presenting and discussing assessment results in a dashboard, and offering interventions to change individual health behavior. Important success factors include the possibility to give automatic feedback about health parameters, create incentive systems, or bring together a large number of health experts in one place. Critical factors such as data security, anonymity, or lack of management involvement have to be addressed carefully to prevent nonparticipation and dropouts. Conclusions: Using eHealth tools can support WHP, but clear regulations for the usage and implementation of these tools at the workplace are needed to secure quality and reach sustainable results.