Data Intensive Software Connectors (DISCO)

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Inactive

Analyzed about 6 hours ago. based on code collected about 6 hours ago.

Project Summary

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 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.

In a Nutshell, Data Intensive Software Connectors (D...

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has had 4 commits made by 1 contributors
representing 26,133 lines of code
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is mostly written in Java
with a well-commented source code
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has a codebase with a very short history
maintained by nobody
with stable Y-O-Y commits
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took an estimated 6 years of effort (COCOMO model)
starting with its first commit in August, 2013
ending with its most recent commit over 12 years ago

Quick Reference

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Code Locations:

https://github.com/chrismattmann...

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Managers:

mattmann

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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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