Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/475579
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dc.date.accessioned2023-04-11T04:49:14Z-
dc.date.available2023-04-11T04:49:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/475579-
dc.description.abstractSoftware 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.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleHybrid Intelligent Effort Estimation Models for Agile Development Process
dc.title.alternative
dc.creator.researcherNeha Gupta
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideRajendra Prasad Mahapatra
dc.publisher.placeKattankulathur
dc.publisher.universitySRM Institute of Science and Technology
dc.publisher.institutionDepartment of Computer Science Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science Engineering

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01_title.pdfAttached File405.03 kBAdobe PDFView/Open
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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