Automated User Testing Using Machine Learning | Thesis Paper

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11/27/2018Automated
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,iftheprogramtobetestedchanged.Thencametheinnovative
mechanisms of tools and procedures that enabled developers to test their programs
efficientlyandinamorepreciseway.Thetoolsthatwereused,usetorecord
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
fuzzylogicinthedaytodayoperations,theincreasedcomplexitieswithcritical
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
highlyinnovativetechnologyproductstobetestedinthemosteffectivemanner,
reducing floor time.
The methodology used here are simple cases, that adjusts and understand the
dynamicsofchangingprogrammingenvironment,bymanualtestcaseadaptation
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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