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Tuesday, February 19, 2013

What are key technologies supported by Maveryx? - Part 1


Maveryx’s unique key technologies are what that makes it so useful. There are 7 of them and we shall discuss about only 4 here.

1. No GUI Maps: 
- Maveryx is an automated testing tool that it does not makes use of GUI maps for locating the GUI objects.
- It carries out the analyzation and the identification of the GUI objects to know their properties at the time of the scripts execution without taking help from a GUI map. 
- When a test is run, a scan is carried out by the Maveryx software and it takes some of the snap shots of the interface of the application under testing or AUT. 
Maveryx then processes each of the snap shots using an advanced GUI objects finder. 
- This object finder then recognizes the object and locates it so that you can straightaway start writing the test cases and you don’t have to wait. 
Automated scripts can be developed early by the testers during the software development life cycle. 
- This is done in parallel with the development of the application. 
- However, the test scripts are developed only when the application is ready to be tested. 

2. GUI objects finder: 
- This advanced finder identifies as well as locates the objects very well that have been embedded in the scripts during the run time itself using many of its pattern – matching capabilities. 
- A number of searching algorithms are used by Maveryx for the recognition and the location of the objects during the execution session of the tests. 
- These algorithms remain applicable even for the objects to which changes have been made since the creation of the tests and partial descriptions have been encoded in to the test scripts. 
- It also carries out a search for the run – time objects that seem to match the test object fully or partially.

Below mentioned are the matching algorithms that are supported:
- Exact: This algorithm lets you search for a test object that is exactly same as the one mentioned in the test scripts.
-  Case insensitive: This algorithm is somewhat same as that of the first one but ignores the case.
- Partial: This algorithm lets you find a match based up on the partial data.
- Wild card: Using this algorithm you can match objects using the common regular expressions.
- Levenshtein distance: This algorithm lets you perform approximate matching through some fuzzy logic and edit distance.
- Thesaurus searching: This algorithm lets you find related terms be it in broader terms or in narrow terms or conceptual in a vocabulary called ‘wordnet’.
- Google translation: This algorithm is best suited for internationalization testing or multilingual testing and it lets you find translations.

   With so many algorithms the objects finder has proved to be quite effective in cutting down the time and effort made by the testers in maintaining the scripts. It also provides all the facilities to the testers to write the automated tests from the partial, lacking and unstable specifications. Further the testers are also enabled to automate the test cases that have developed resilience against frequent changes that are made to the interface of the application thus avoiding the need for the continuous rework on the scripts. 
    
     3. Data driven testing: 
    This maveryx implements through Microsoft office excel spreadsheets as well as XML files.  A number of data bases are also supported by the maveryx tool.

   4. Keyword driven testing: Using excel spreadsheets Mavryx creates data tables which it uses for developing test cases. Test actions or the keywords are stored in the spreadsheets and XML files. 



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