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New Version of Mercury Tool Available!


The version 5.3 of Mercury has been released.


Dear Colleagues,

We are pleased to announce that version 5.3 of the Mercury tool has been released to the industry and academic community.

This new version fixes a number of bugs found in previous versions.

If you are a Mercury user, we strongly recommend that you get the new version.

We hope you will enjoy it. If you have any suggestions or find any bugs, please report them to us.

If you do not know the tool yet and want to try it, please go to www.modcs.org and go to “Downloads” and “Mercury Tool”.

There you will get a form, sign it and download the tool.


Mercury 5.3 – click here to download


What’s new in Mercury?

Below we describe the most important features and enhancements of version 5.3:
  1. Performance improvement when performing evaluations on RBDs and FTs.
  2. Usability improvements.
    1. The editor now highlights the name of the tab of the selected model.
    2. Mercury now supports drag-and-drop rearrangement of model tabs. This allows you to customize the layout of your workspace by simply clicking on a tab and moving it to the desired location. This feature is especially valuable for projects where users frequently work with multiple models and need a flexible way to keep everything well organized and easily accessible.
    3. The editor now provides visual assistance through vertical and horizontal alignment lines when adding, resizing, or moving components on the canvas, ensuring precise alignment.
    4. Users can fine-tune component positioning with the keyboard arrow keys for precise control over element placement.
    5. In addition, users can activate and deactivate the grid mode by pressing the CTRL + G keys. When enabled, this mode draws multiple lines on the canvas to facilitate component alignment.
  3. Mercury exports models to PDF files.
  4. An Expectation-Maximization Auto-fitting (EMA) tool. An  EMA algorithm is a fundamental technique for parameter estimation in statistical models when handling clustered data.  The EMA tool implements an algorithm that provides a robust approach to parameter estimation in complex models. It is suitable for scenarios where data points have unknown probabilities of belonging to different clusters and these clusters follow known distributions with unknown parameters.  The main goal of the EMA tool is to iteratively estimate the parameters for each cluster such that they maximize the likelihood of the observed data.
  5. Mercury exports SPN/CTMC models to the Wolfram Mathematica language/SageMath format. When exporting to Mathematica, Mercury creates the nb file that can be opened in Mathematica.
  6. Some minor improvements and bug fixes.

What is the Mercury tool used for?

Mercury enables a range of models to be created and evaluated for supporting performance and dependability evaluations, such as reliability block diagrams (RBDs), dynamic RBDs (DRBDs), fault trees (FTs), energy flow models (EFMs), stochastic Petri nets (SPNs), and continuous and discrete-time Markov chains (CTMCs and DTMCs).

The tool has been cited in more than 140 scientific publications and used in over 18 countries worldwide.
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WMoDCS 2023.2

Published on October 27, 2023 by in Uncategorized

The MoDCS Workshop (WMoDCS) is an internal event that occurs every six months to spread knowledge among its participants. Each student must present the current state of their research.

In 2023.2, the WMoDCS occurred on October 26, 2023, from 08:00 AM to 14:00 PM.

Standing at the back are:

Prof. Jamilson Dantas, and Marco Mialaret Jr., Erick Barros, Pablo Pessoa, Daliton da Silva, and Akin Dagba.

Further ahead are:

Gervásio Teixeira, Welton Dionisio, Jonatas Iago, Marcelo Santana, Thiago Pinheiro, Prof. Paulo Maciel, Esaú Sanchez (and his son, Natan), Prof. Jean Araújo (and his wife, Bruna), Joana Forte, Vinícius Almeida, and Aline Do Monte.


Raquel Fernandez, Renata Dantas, Luan Lins, and Davi (Son of Renata and Prof. Jamilson).


Professor Paulo Maciel would like to express his gratitude to everyone who contributed to this event.

We look forward to seeing you at WMoDCS 2024!

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