Software Prototyping: Designing Systems For Users

1983 ◽  
Vol 1 (1) ◽  
pp. 75-83
Author(s):  
Phyllis Bova Spies
Keyword(s):  
Software Prototyping

Software Prototyping

1999 ◽  
Author(s):  
Sigurd Meldal ◽  
Gene L. Fisher ◽  
Daniel J. Stearns ◽  
Peter C. ��lveczky
Keyword(s):  
Software Prototyping

Towards cloud-native simulations – lessons learned from the front-line of cloud computing

2020 ◽  
pp. 154851291989532 ◽  
Author(s):  
Nane Kratzke ◽  
Robert Siegfried
Keyword(s):  
Cloud Computing ◽  
Cost Model ◽  
Simulation Models ◽  
Lessons Learned ◽  
Fine Grained ◽  
Architectural Styles ◽  
Research Activities ◽  
Simulation Domain ◽  
Software Prototyping ◽  
Computationally Intensive

Cloud computing can be a game-changer for computationally intensive tasks like simulations. The computational power of Amazon, Google, or Microsoft is even available to a single researcher. However, the pay-as-you-go cost model of cloud computing influences how cloud-native systems are being built. We transfer these insights to the simulation domain. The major contributions of this paper are twofold: (A) we propose a cloud-native simulation stack and (B) derive expectable software engineering trends for cloud-native simulation services. Our insights are based on systematic mapping studies on cloud-native applications, a review of cloud standards, action research activities with cloud engineering practitioners, and corresponding software prototyping activities. Two major trends have dominated cloud computing over the last 10 years. The size of deployment units has been minimized and corresponding architectural styles prefer more fine-grained service decompositions of independently deployable and horizontally scalable services. We forecast similar trends for cloud-native simulation architectures. These similar trends should make cloud-native simulation services more microservice-like, which are composable but just “simulate one thing well.” However, merely transferring existing simulation models to the cloud can result in significantly higher costs. One critical insight of our (and other) research is that cloud-native systems should follow cloud-native architecture principles to leverage the most out of the pay-as-you-go cost model.

Foreword: Importance of software prototyping

1996 ◽  
Vol 6 (1-2) ◽  
pp. 9-14 ◽  
Author(s):  
Larry Bernstein
Keyword(s):  
Software Prototyping

Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics

2013 ◽  
Vol 24 (2) ◽  
pp. 301-304 ◽  
Author(s):  
Anton A. Goloborodko ◽  
Lev I. Levitsky ◽  
Mark V. Ivanov ◽  
Mikhail V. Gorshkov
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Software Prototyping ◽  
Exploratory Data

scholarly journals Perangkat Lunak Pengajuan Dana Bos Pada Kementerian Agama (Kemenag) Ogan Komering Ilir (OKI) Berbasis Web

2020 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Sakban Arifin ◽  
Jemakmun Jemakmun ◽  
Hutrianto Hutrianto
Keyword(s):  
Study Data ◽  
Quality Of Education ◽  
Educational Funding ◽  
Web Based ◽  
National Budget ◽  
Working Models ◽  
Software Prototyping ◽  
Report Data ◽  
Final System

The software for submitting School Operational Assistance funds is an improvement in the quality of education by providing educational funding from School Operational Assistance National Budget funds. Ministry of Religion and schools still experience difficulties in carrying out bookkeeping usage and the results of spending from School Operational Assistance funds. So that this study aims to create a web-based application that makes it easy for admins to examine all School Operational Assistance funds and input submissions & reports that have collected report data. Submission is an activity aimed at providing information about the causes and consequences of a policy that is being implemented, while School Operational Assistance is a government program which is basically to provide funding for non-personnel operational costs. In this study data collection was carried out by observation, interview, and literature methods and the development of software prototyping systems as the basis of the concept of working models with the aim of developing the model into a final system

Software Prototyping

1989 ◽  
pp. 186-218
Author(s):  
Ernst-Erich Doberkat ◽  
Dietmar Fox
Keyword(s):  
Software Prototyping
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