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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 152.71 kB | Adobe PDF | View/Open |
02_preliminary page.pdf | 556.54 kB | Adobe PDF | View/Open | |
03_content.pdf | 259.62 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 225.8 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.04 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 422.76 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 2.25 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 2.77 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.68 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 110.73 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 6.97 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 260.55 kB | Adobe PDF | View/Open |
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