scholarly journals High Performance Software Framework for the Calculation of Satellite-to-Satellite Data Matchups (MMS version 1.2)

Author(s):  
Thomas Block ◽  
Sabine Embacher ◽  
Christopher J. Merchant ◽  
Craig Donlon

Abstract. We present a Multisensor Matchup System (MMS) that allows systematic detection of satellite based sensor-to-sensor matchups and the extraction of local subsets of satellite data around matchup locations. The software system implements a generic matchup-detection approach and is currently being used for validation and sensor harmonisation purposes. An overview of the flexible and highly configurable software architecture and the target processing environments is given. We discuss improvements implemented with respect to heritage systems, and present some performance comparisons. A detailed description of the intersection algorithm is given which allows a fast matchup detection in geometry and time.

2018 ◽  
Vol 11 (6) ◽  
pp. 2419-2427 ◽  
Author(s):  
Thomas Block ◽  
Sabine Embacher ◽  
Christopher J. Merchant ◽  
Craig Donlon

Abstract. We present a multisensor matchup system (MMS) that allows systematic detection of satellite-based sensor-to-sensor matchups and the extraction of local subsets of satellite data around matchup locations. The software system implements a generic matchup-detection approach and is currently being used for validation and sensor harmonization purposes. An overview of the flexible and highly configurable software architecture and the target processing environments is given. We discuss improvements implemented with respect to heritage systems, and present some performance comparisons. A detailed description of the intersection algorithm is given, which allows a fast matchup detection in geometry and time.


Author(s):  
Nacha Chondamrongkul ◽  
Jing Sun ◽  
Ian Warren ◽  
Scott Uk-Jin Lee

The architecture smells are the poor design practices applied to the software architecture design. The smells in software architecture design can be cascaded to cause the issues in the system implementation and significantly affect the maintainability and reliability attribute of the software system. The prevention of architecture smells at the design phase can therefore improve the overall quality of the software system. This paper presents a framework that supports the detection of architecture smells based on the formalization of architecture design. Our modeling specification supports representing both structural and behavioral aspect of software architecture design; it allows the smells to be analyzed and detected with the provided tools. Our framework has been applied to seven architecture smells that violate different design principles. The evaluation has been conducted and the result shows that our detection approach gives accurate results and performs well on different size of models. With the proposed framework, other architecture smells can be defined and detected using the process and tools presented in this paper.


Author(s):  
J. Chattratichat ◽  
J. Darlington ◽  
Y. Guo ◽  
S. Hedvall ◽  
M. Köhler ◽  
...  

2012 ◽  
Vol 3 (4) ◽  
pp. 27-44
Author(s):  
Bernard Spitz ◽  
Riccardo Scandariato ◽  
Wouter Joosen

This paper presents the design and implementation of a prototype tool for the extraction of the so-called Task Execution Model directly from the source code of a software system. The Task Execution Model is an essential building block for the analysis of the least privilege violations in a software architecture (presented in previous work). However, the trustworthiness of the analysis results relies on the correspondence between the analyzed model and the implementation of the system. Therefore, the tool presented here is a key ingredient to provide assurance that the analysis results are significant for the system at hand.


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