Release Notes Alyvix 2.4.1

Welcome to the latest stable release of Alyvix that comes up with important new features.

Product: Alyvix
Release Number: 2.4.1
Release Date: May 5, 2017
Release Type: Major
Previous Release: 2.3.0

 

System Requirements

  • 1 virtual or physical machine, exclusively dedicated to serially run a number of Alyvix test cases
    • 2 or more machines are needed to run parallel test cases or to geographically distribute them
  • screen resolution at least 1280×720 HD or 1280×800 WXGA; screen color depth 24bit RGB or 32bit RGBA
  • WindowsOS 64bit (7, 8, 10, Server 2012, Server 2016) with .NET v4.x; WinOS 32bit versions are not compatible

How to update

Run as administrator the following command in the Command Prompt of your Alyvix machine:

conda install -c https://conda.anaconda.org/alyvix alyvix

 

New Features

Interaction Selection

In the Alyvix finder GUIs it is now possible to select the exact point where Alyvix has to interact with the element. (Previously it was just possible to interact with the center of objects):

  • new GUI interaction possibilities;
  • point set, reset, editing and visual anchor to its component;
  • interaction points are visualized in reports.

Drag ‘n’ Drop

Besides clicking, it is now possible to let Alyvix drag and drop GUI elements:

  • drag’n’drop mode with a single keyword chosing from a set of standard movements;
  • continuously object holding with a keyword and custom releasing with a subsequent one.

Multiple Clicks

Besides clicking once, it is now possible to let Alyvix click multiple times on GUI elements. The number of clicks and the delay between them can be freely set.

Background Mode (for professional and enterprise subscriptions)

The new background mode allows to run test cases in an dedicated and automatized Windows session, avoiding to leave an active and unlocked desktop: stand-alone software for professional and enterprise subscriptions;

  • compatibility with Windows 64bit 7/8/10/Server2012/Server2016;
  • easy installer of a dedicated Windows service;
  • Alyvix RDS management (e.g. signout, client crash, resolution mismatch);
  • configuration of credentials and resolution;
  • encryption tool for the RDS password.

Integration Package for NetEye/Nagios/Icinga

An NetEye package supports you in the integration of Alyvix tests in your monitoring system: Alyvix checks, Monarch profiles (for commands and services), PHP chart template and HTML report sharing and management. Run the following command in a shell:

yum install neteye-alyvix –enablerepo=neteye

NATS Integration

The new ‘NATS’ type of ‘Publish Perfdata’ allows you to flush all the performance data of Alyvix tests in a specified remote InfluxDB (through Telegraf).

 

Improvements

Improved reports

  • animation for object finders, with a frame for every subcomponent
  • highlighted interaction points

Improved operations with performance data

  • more data is stored in test case databases
  • more CSV publishing options are available

Improved measurement outcomes

  • customizable working frequencies of frame grabber, graphic detector, interaction robot
  • more accurate appearance and disappearance timing
  • customizable exit code of single keywords and whole test cases
  • image Finder is now color sensitive
  • the outcome state logic of test cases is completely tested

Improved GUI handling

  • GUIs show clearer options
  • rectangle sizing is easier to use
  • ROI is easier to reset for single components
  • additional shortcuts to speed up the test case building
  • tighter exception handling

 

Contact

If you have any questions surrounding this minor release, you are more than welcome to get in touch with us. Please, write an email request to the following address:

info@alyvix.com

Written by

Over the last years I’ve built my career on following applicated domains: remote sensing, neuroinformatics and industrial diagnostics (development of timber and lumber scanners for quality classification). Common denominators for my professional growth were signal and image processing, machine learning and artificial intelligence. In the past, I focused my efforts on software engineering of cognitive systems, which could extract the richest and most accurate information in order to provide the best support and lead to further decision making steps. Therefore, I was the perfect candidate to become the Alyvix product manager. In my current job position I concentrate on synthetic monitoring of applications, on customer requirements generation and on the product development of Alyvix.

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