Automated User Testing Using Machine Learning | Thesis Paper

11/27/2018 Automated
User Testing
Using Machine
Learning
Thesis Paper

ABSTRACT
The procedures of manual testing have evolved over time. Earlier, all the test cases
were written manually, executed sequentially and there was a limitation to the scope of
modification, if the program to be tested changed. Then came the innovative
mechanisms of tools and procedures that enabled developers to test their programs
efficiently and in a more precise way. The tools that were used, use to record
procedures, catch test cases and results, maintain logs and summaries and all the
points of failure and exit.
With the advancements in software programs world-wide, the introduction of
fuzzy logic in the day to day operations, the increased complexities with critical
programs came the need of identification of dynamic test procedures which were to
adjust to the changing procedures and would adapt to the new logic. These test cases
were later programmed effectively once this need of dynamic changes was felt. The
terminology of machine learning, in the automated test case scenario, gives an edge to
highly innovative technology products to be tested in the most effective manner,
reducing floor time.
The methodology used here are simple cases, that adjusts and understand the
dynamics of changing programming environment, by manual test case adaptation
versus automated user tests. The results indicate the functionality of adaptive test cases
to be exceptionally accurate and helpful in reducing the multi scenario and modifying
parameters of software programming and its variables. The adaptive functionality of
machine learning is a boon in today’s software development scenario.
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TABLE OF CONTENTS
ABSTRACT........................................................................................................................2
INTROUCTION..................................................................................................................4
PROCEDURE....................................................................................................................4
RESULTS..........................................................................................................................4
DISCUSSION.....................................................................................................................4
CONCLUSION...................................................................................................................4
RECOMMENDATION........................................................................................................4
ACKNOWLEDGEMENTS..................................................................................................5
BIBLIOGRAPHY................................................................................................................6
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