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aim42 - architecture improvement method

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  Analyzed about 10 hours ago

(software) architecture improvement method - a systematic way of improving, optimizing and/or streamlining software: * eliminate waste and complexity * reducy clutter and technical debt * improve understandability and efficiency * reduce maintenance cost * optimize performance, security and ... [More] other quality attributes by a (quite) simple 3-phase methodical approach :-) [Less]

139K lines of code

6 current contributors

2 months since last commit

1 users on Open Hub

Very Low Activity
5.0
 
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Geotrek-rando

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  Analyzed about 14 hours ago

Geotrek public trekking website. Publish trek and points of interest. Example: http://rando.ecrins-parcnational.fr

13.1K lines of code

7 current contributors

9 months since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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genivi-uml-helpers

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  Analyzed about 12 hours ago

Helper scripts for dealing with Enterprise Architect UML modeling tool

8 lines of code

0 current contributors

about 7 years since last commit

1 users on Open Hub

Inactive
0.0
 
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cppdep

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  No analysis available

Dependency analyzer for C/C++ projects from "Large-Scale C++ Software Design" book.

0 lines of code

1 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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Mostly written in language not available
Licenses: gpl3

Soar

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  Analyzed about 13 hours ago

Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.

289K lines of code

0 current contributors

over 18 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Licenses: No declared licenses

The OPAL Project - An OPen Analysis Library for Java Bytecode

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  Analyzed about 21 hours ago

OPAL is a platform for analyzing and engineering Java byte code that is written in Scala and which leverages Scala's advanced language features to provide a new and previously unseen level of customizability and scalability. OPAL was designed from the ground up with extensibility, adaptability and ... [More] scalability in mind. In general, OPAL facilitates writing concurrent analyses and is already highly parallelized. On top of the framework for representing and engineering Java byte code, OPAL in particular provides a framework for the abstract interpretation of Java bytecode. Additionally, it has built-in support for the analysis of static source code dependencies and generally provides extensive support for pattern-matching on Java bytecode. [Less]

493K lines of code

8 current contributors

about 2 months since last commit

1 users on Open Hub

Moderate Activity
0.0
 
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Hybrid Online/Offline Architecture

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  Analyzed about 8 hours ago

A hybrid online/offline architecture for occasionally connected applications.

5.71K lines of code

1 current contributors

over 4 years since last commit

1 users on Open Hub

Inactive
5.0
 
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Licenses: No declared licenses

jqa

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  Analyzed 12 minutes ago

Java architecture framework validation - A library to define, validate, test and QA custom application architecture rules. Maven, Eclipse and Sonar integration.

29.9K lines of code

0 current contributors

almost 10 years since last commit

1 users on Open Hub

Inactive
5.0
 
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Data Intensive Software Connectors (DISCO)

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  Analyzed about 13 hours ago

Data-intensive systems and applications transfer large volumes of data and meta- data to highly distributed users separated by geographic distance and organiza- tional boundaries. A dominating factor in these large volume data transfers is the selection of the appropriate software connector that ... [More] satisfies user constraints on the required data distribution scenarios. We present a software architecture- based systematic framework for selecting software connectors based on eight key dimensions of data distribution that we use to represent the data distribution scenarios. Our framework, dubbed DISCO, accurately, efficiently, and reliably captures a guru’s domain knowledge and allows a user to automatically leverage that knowledge to drive connector selection. [Less]

26.1K lines of code

0 current contributors

over 10 years since last commit

1 users on Open Hub

Inactive
5.0
 
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Grid-based Lightweight Infrastructure for Data-Intensive Environmen...

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  Analyzed about 20 hours ago

Current grid solutions make several limiting assumptions that curtail their widespread adoption in the emerging decentralized, resource constrained, embedded, autonomic, and mobile (DREAM) environments: they are designed primarily for highly complex scientific problems, and therefore require ... [More] powerful hardware and reliable network connectivity; additionally, they provide no application design support to grid users (e.g., scientists). We present GLIDE, a prototype light-weight, data-intensive middleware infrastructure that enables access to the robust data and computational power of the grid on DREAM platforms. GLIDE embodies a number of features of an existing data grid solution within the framework of an existing DREAM middleware solution with extensive application design capabilities. [Less]

2.03K lines of code

0 current contributors

over 10 years since last commit

1 users on Open Hub

Inactive
5.0
 
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