000 -LEADER |
fixed length control field |
a |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230117150730.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
230116b xxu||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
AIKTC-KRRC |
Transcribing agency |
AIKTC-KRRC |
100 ## - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
19706 |
Author |
Banujan, Kuhaneswaran |
245 ## - TITLE STATEMENT |
Title |
Classification of product backlog itams in agile software development: a deep learning-based approach |
250 ## - EDITION STATEMENT |
Volume, Issue number |
Vol,18(3), Sep |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Hyderabad |
Name of publisher, distributor, etc. |
IUP Publications |
Year |
2022 |
300 ## - PHYSICAL DESCRIPTION |
Pagination |
7-26p |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Agile software development (ASD) is an iterative mehod project management and software development that enables teams provide customar value more quickly with fewer complications. product backlog items (PBI) are prioritized list to be -implemented ASD requirements prior to beginning sprinting in the ASD, one of the most crucial duties the classification of PBI using machine learning and deep learning methods, the, authors sought to categorize the PBI into spikes,foundational stories,and user storises.they initially gathered data from numerous software development initiatives and web sources. each pbi as classified manually as spikes, foundational stories and preprocessed to remove superfluous text content.using the TF, IDF and GLO Ve techniques, the preprocessed PBI were then embedded with words.ANN and LSTM were used to classife the PBIs. the paper models combinations of TF, IDF+ANN, and GLO VE+LSTM. with an accuracy of 92.4%, the GLO Ve+LSTM model surpassed other deployed models. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
4619 |
Topical term or geographic name entry element |
EXTC Engineering |
700 ## - ADDED ENTRY--PERSONAL NAME |
9 (RLIN) |
19707 |
Co-Author |
Ravi Kumar, Nirubikaa |
773 0# - HOST ITEM ENTRY |
International Standard Serial Number |
0973-2896 |
Title |
IUP journal of information technology |
Place, publisher, and date of publication |
Hyderabad IUP Publications |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Articles Abstract Database |