A quantitative analytical study for multiple software a gile development models to optimize the risk factors
Muhammad Salman Atique (S19A14G05016)
creator
text
Faisalabad
(unpublished)
2021
monographic
xiii, 58 p. : ill. ; 30 cm.
A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Computer Science to the Faculty of Computing.
Thesis supervisor: Mr. Inam Illahi
Includes bibliographical references.
Thesis (M.Phil.)--Riphah International University, 2021
English
Quantitative analytical Multiple software
Kanban
Crystal
Computer science
FSSH
004 SAL