Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/592483
Title: Natural Language Processing Based Approach for Regression Testing
Researcher: Atulya Gupta
Guide(s): Mahapatra, R P
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
University: SRM Institute of Science and Technology
Completed Date: 2024
Abstract: Software testing holds a crucial role in the field of software engineering, as it serves newlineas a cornerstone in ensuring the overall quality of a software system. Among the various newlinetesting processes, regression testing stands out by ensuring that the current software newlinefunctions seamlessly even after incorporating new modifications. To accomplish this, new newlinetest cases are crafted and integrated into the existing test suite, often resulting in the newlineexpansion of test suite sizes. Test case generation, particularly when driven by user newlinespecifications expressed in natural language, traditionally demands manual effort to newlinecomprehend the intricacies of these user-provided requirements newline
Pagination: 
URI: http://hdl.handle.net/10603/592483
Appears in Departments:Department of Computer Science Engineering

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01_title page.pdfAttached File152.71 kBAdobe PDFView/Open
02_preliminary page.pdf556.54 kBAdobe PDFView/Open
03_content.pdf259.62 kBAdobe PDFView/Open
04_abstract.pdf225.8 kBAdobe PDFView/Open
05_chapter 1.pdf1.04 MBAdobe PDFView/Open
06_chapter 2.pdf422.76 kBAdobe PDFView/Open
07_chapter 3.pdf2.25 MBAdobe PDFView/Open
08_chapter 4.pdf2.77 MBAdobe PDFView/Open
09_chapter 5.pdf1.68 MBAdobe PDFView/Open
10_chapter 6.pdf110.73 kBAdobe PDFView/Open
11_annexures.pdf6.97 MBAdobe PDFView/Open
80_recommendation.pdf260.55 kBAdobe PDFView/Open
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