Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/475579
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-04-11T04:49:14Z | - |
dc.date.available | 2023-04-11T04:49:14Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/475579 | - |
dc.description.abstract | Software development becomes more challenging as software size or complexity rises; it is challenging to predict resource requirements or development expenses. A component of development that can be used to gauge resources before development is the evaluation of computer weight. A score is a numerical evaluation of the amount of work necessary to complete a specific developmental activity, most frequently represented in terms of time. Employee estimates are made to record individual evaluations and to calculate the length of time, the project capacity, and the overall cost. The total amount of time needed to perform a task is determined as an estimate of the effort, which is typically displayed as measurement categories (man day, man month, and man year). Updated software development methodologies should be advantageous given the quick advancements in technology that have taken place in this planet over the last few decades. To compete in the market, various software development businesses have altered their working methodologies newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Hybrid Intelligent Effort Estimation Models for Agile Development Process | |
dc.title.alternative | ||
dc.creator.researcher | Neha Gupta | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Theory and Methods | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Rajendra Prasad Mahapatra | |
dc.publisher.place | Kattankulathur | |
dc.publisher.university | SRM Institute of Science and Technology | |
dc.publisher.institution | Department of Computer Science Engineering | |
dc.date.registered | ||
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 405.03 kB | Adobe PDF | View/Open |
02_preliminary page.pdf.pdf | 458.18 kB | Adobe PDF | View/Open | |
03_content.pdf | 290.79 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 297.95 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 338.88 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 573.1 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 540.5 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 883.43 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 3.22 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 242.3 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 526.08 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 437.46 kB | Adobe PDF | View/Open |
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