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dc.contributor.authorJansing, David
dc.contributor.authorNovillo, Jorge; Adviser
dc.contributor.authorCavallo, Roger; Reviewer
dc.contributor.authorSpetka, Scott; Reviewer
dc.descriptionA Master's Thesis Presented to The Department of Computer and Information Sciences State University of New York Polytechnic Institute Utica, New York in partial fulfillment of the requirements for the Master of Science Degree.en_US
dc.description.abstractEffective software testing can save money and effort by catching problems before they make it very far through the software development process. It is known that the longer a defect remains undetected, the more expensive it is to fix. Testing is, therefore a critical part of the development process. It can also be expensive and labor intensive, particularly when done by hand. It is estimated that the total effort testing software consumes at least half of a project’s overall labor. Automation can make much of the testing an organization does more accurate and cheaper than merely putting several people in a room and having them run tests from a paper script. It also frees the testing staff to do more specific and in-­‐depth testing than would otherwise be possible. This paper focuses mainly on software test automation techniques and how automation can enhance the efficiency of a software team as well as the quality of the final product.en_US
dc.subjectsoftware testingen_US
dc.subjectsoftware test automationen_US
dc.titleEnhancing the Effectiveness of Software Test Automationen_US
dc.description.institutionSUNY Polytechnic Institute

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David Jansing Master Thesis

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  • SUNY Polytechnic Institute College of Engineering
    This collection contains master's theses, capstone projects, and other student and faculty work from programs within the Department of Engineering, including computer science and network security.

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