Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/348739
Title: | Soft Computing Techniques for Software Fault Prediction |
Researcher: | Pandey, Anil Kumar |
Guide(s): | Gupta, Manjari |
Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology Soft computing |
University: | Banaras Hindu University |
Completed Date: | 2018 |
Abstract: | In recent years, importance of software has increased due to development of softwarebased newlineautomated systems for multitudinous applications. The volume and complexity newlineof software with demand has increased day by day to provide reliability, quality, and newlinesecurity with integration of latest technologies and to enhance cross platform newlinecommunication capability. Therefore, it is challenging and difficult work to produce newlinefault free reliable software with constraints of finance and allocated time. This fault newlinecauses the failure of software dependent system and shows the significant impact on newlinereliability and productivity of system. Thus software fault classification (SFC) is newlineimportant to maintain the quality of software system and elimination of faults makes newlinethe software reliable after each version. The SFC system operates on various metrics newlinefor diagnosis of faults. The SFC uses the data generated from previous versions of newlinesoftware. newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/348739 |
Appears in Departments: | Department of Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 566.25 kB | Adobe PDF | View/Open |
02_certificate.pdf | 117.49 kB | Adobe PDF | View/Open | |
03_content.pdf | 94.05 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 105.69 kB | Adobe PDF | View/Open | |
05_acknowledgement.pdf | 128.88 kB | Adobe PDF | View/Open | |
06_abbreviation.pdf | 103.51 kB | Adobe PDF | View/Open | |
07_notation.pdf | 108.66 kB | Adobe PDF | View/Open | |
08_list of tables and figures.pdf | 83.83 kB | Adobe PDF | View/Open | |
09_list of glossary.pdf | 106.06 kB | Adobe PDF | View/Open | |
10_list of algorithm.pdf | 100.86 kB | Adobe PDF | View/Open | |
11_preface.pdf | 92.36 kB | Adobe PDF | View/Open | |
12_chapter1.pdf | 412.64 kB | Adobe PDF | View/Open | |
13_chapter2.pdf | 211.74 kB | Adobe PDF | View/Open | |
14_chapter3.pdf | 814.61 kB | Adobe PDF | View/Open | |
15_chapter4.pdf | 279.03 kB | Adobe PDF | View/Open | |
16_chapter5.pdf | 850.83 kB | Adobe PDF | View/Open | |
17_chapter6.pdf | 100.43 kB | Adobe PDF | View/Open | |
18_bibliograhy.pdf | 197.93 kB | Adobe PDF | View/Open | |
19_appendix.pdf | 2.24 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 665.97 kB | Adobe PDF | View/Open |
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