Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/475579
Title: Hybrid Intelligent Effort Estimation Models for Agile Development Process
Researcher: Neha Gupta
Guide(s): Rajendra Prasad Mahapatra
Keywords: Computer Science
Computer Science Theory and Methods
Engineering and Technology
University: SRM Institute of Science and Technology
Completed Date: 2023
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
Pagination: 
URI: http://hdl.handle.net/10603/475579
Appears in Departments:Department of Computer Science Engineering

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02_preliminary page.pdf.pdf458.18 kBAdobe PDFView/Open
03_content.pdf290.79 kBAdobe PDFView/Open
04_abstract.pdf297.95 kBAdobe PDFView/Open
05_chapter 1.pdf338.88 kBAdobe PDFView/Open
06_chapter 2.pdf573.1 kBAdobe PDFView/Open
07_chapter 3.pdf540.5 kBAdobe PDFView/Open
08_chapter 4.pdf883.43 kBAdobe PDFView/Open
09_chapter 5.pdf3.22 MBAdobe PDFView/Open
10_chapter 6.pdf242.3 kBAdobe PDFView/Open
11_annexures.pdf526.08 kBAdobe PDFView/Open
80_recommendation.pdf437.46 kBAdobe PDFView/Open
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