scholarly journals Model-based software configuration: patterns and languages

2006 ◽  
Vol 15 (6) ◽  
pp. 583-600 ◽  
Author(s):  
Alexander Dreiling ◽  
Michael Rosemann ◽  
Wil van der Aalst ◽  
Lutz Heuser ◽  
Karsten Schulz
Keyword(s):  
Model Based ◽  
Software Configuration

A Dynamic Software Configuration Model Based on Embedded System

2009 ◽  
Vol 42 (3) ◽  
pp. 263-266
Author(s):  
CHEN Heping ◽  
WANG Jincun ◽  
CHEN Bin ◽  
LI Xiaohui
Keyword(s):  
Embedded System ◽  
Configuration Model ◽  
Model Based ◽  
Software Configuration ◽  
Dynamic Software

scholarly journals Implementation of Software Configuration Management Process by Models: Practical Experiments and Learned Lessons

2014 ◽  
Vol 16 (1) ◽  
pp. 26-32
Author(s):  
Arturs Bartusevics ◽  
Leonids Novickis ◽  
Stefan Leye
Keyword(s):  
Configuration Management ◽  
Lessons Learned ◽  
Version Control ◽  
Management Process ◽  
General Description ◽  
Software Configuration Management ◽  
New Approach ◽  
New Model ◽  
Model Based ◽  
Software Configuration

Abstract Nowadays software configuration management process is not only dilemma which system should be used for version control or how to merge changes from one source code branch to other. There are multiple tasks such as version control, build management, deploy management, status accounting, bug tracking and many others that should be solved to support full configuration management process according to most popular quality standards. The main scope of the mentioned process is to include only valid and tested software items to final version of product and prepare a new version as soon as possible. To implement different tasks of software configuration management process, a set of different tools, scripts and utilities should be used. The current paper provides a new model-based approach to implementation of configuration management. Using different models, a new approach helps to organize existing solutions and develop new ones by a parameterized way, thus increasing reuse of solutions. The study provides a general description of new model-based conception and definitions of all models needed to implement a new approach. The second part of the paper contains an overview of criteria, practical experiments and lessons learned from using new models in software configuration management. Finally, further works are defined based on results of practical experiments and lessons learned.

scholarly journals Intellectual Model-Based Configuration Management Conception

2014 ◽  
Vol 15 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Arturs Bartusevics ◽  
Leonids Novickis ◽  
Eberhard Bluemel
Keyword(s):  
Software Evolution ◽  
Configuration Management ◽  
Development Project ◽  
Management Process ◽  
Software Configuration Management ◽  
Software Development Project ◽  
Model Based ◽  
Software Configuration ◽  
Total Process ◽  
Management Concept

Abstract Software configuration management is one of the most important disciplines within the software development project, which helps control the software evolution process and allows including into the end project only tested and validated changes. To achieve this, software management completes certain tasks. Concrete tools are used for technical implementation of tasks, such as version control systems, servers of continuous integration, compilers, etc. A correct configuration management process usually requires several tools, which mutually exchange information by generating various kinds of transfers. When it comes to introducing the configuration management process, often there are situations when tool installation is started, yet at that given moment there is no general picture of the total process. The article offers a model-based configuration management concept, which foresees the development of an abstract model for the configuration management process that later is transformed to lower abstraction level models and tools are indicated to support the technical process. A solution of this kind allows a more rational introduction and configuration of tools

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

2001 ◽  
Vol 7 (S2) ◽  
pp. 578-579
Author(s):  
David W. Knowles ◽  
Sophie A. Lelièvre ◽  
Carlos Ortiz de Solόrzano ◽  
Stephen J. Lockett ◽  
Mina J. Bissell ◽  
...  
Keyword(s):  
Image Analysis ◽  
Mammary Epithelial Cells ◽  
Nuclear Organization ◽  
Critical Role ◽  
Quantitative Model ◽  
Mammary Epithelial ◽  
Cell Phenotype ◽  
Proliferating Cells ◽  
Mitotic Apparatus ◽  
Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

Model-Based Clustering and Classification for Data Science

2019 ◽  
Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery
Keyword(s):  
Data Science ◽  
Model Based Clustering ◽  
Model Based ◽  
Clustering And Classification

Model-Based Software Testing and Analysis with C#

2007 ◽  
Author(s):  
Jonathan Jacky ◽  
Margus Veanes ◽  
Colin Campbell ◽  
Wolfram Schulte
Keyword(s):  
Software Testing ◽  
Model Based
Sign in / Sign up

Export Citation Format

Share Document