Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/49232
Title: | Enhanced ant colony optimization algorithm for parameter estimation method in software reliability models |
Researcher: | Latha shanmugam |
Guide(s): | Lilly Florence M |
Keywords: | ant colony optimization algorithm Science and humanities |
Upload Date: | 10-Sep-2015 |
University: | Anna University |
Completed Date: | 01/11/2014 |
Abstract: | The traditional methods used for estimating software reliability are based on assumptions of statistical distributions that are often uncertain and impractical the timely release of the software and managementof the project resources efficiently is dependent on tne exact prediction of faults occurring in development phase and a suitable testing process newline |
Pagination: | xxi, 186p. |
URI: | http://hdl.handle.net/10603/49232 |
Appears in Departments: | Faculty of Science and Humanities |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 67.32 kB | Adobe PDF | View/Open |
02_certificate.pdf | 172.88 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 1.12 MB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 268.25 kB | Adobe PDF | View/Open | |
05_contents.pdf | 1.75 MB | Adobe PDF | View/Open | |
06_chapter 1.pdf | 7.22 MB | Adobe PDF | View/Open | |
07_chapter 2.pdf | 6.1 MB | Adobe PDF | View/Open | |
08_chapter 3.pdf | 3.33 MB | Adobe PDF | View/Open | |
09_chapter 4.pdf | 4.53 MB | Adobe PDF | View/Open | |
10_chapter 5.pdf | 2.93 MB | Adobe PDF | View/Open | |
11_chapter 6.pdf | 13.51 MB | Adobe PDF | View/Open | |
12_appendix.pdf | 2.12 MB | Adobe PDF | View/Open | |
13_references.pdf | 3.57 MB | Adobe PDF | View/Open | |
14_publications.pdf | 439.23 kB | Adobe PDF | View/Open |
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