QR Code Link : Type : Thesis Subject : Business, Marketing Main Author : Ching Wee Sen Title : Integrating Gpt To Drive Software Development Productivity Content Type : still image (rdacontent) Media Type : computer (rdamedia) Carrier Type : online resource (rdacarrier)

Place of Production : Kuala Lumpur Publisher : Tun Razak Graduate School Year of Publication : June 2024 Physical Description : ill, 98 pages Notes : Project Paper Submitted in Partial Fulfilment of the Requirements\r\nFor the Degree of Master of Business Administration\r\nUniversiti Tun Abdul Razak Corporate Name : UNIRAZAK Library PDF Full Text : Login required to access this item.

Abstract : UNIRAZAK Library

The rapid advancements in artificial intelligence, particularly the emergence of Generative Pre-trained Transformer (GPT) models, present exciting opportunities for enhancing software development productivity. This research aims to investigate the impact of integrating GPT on software development productivity by examining the relationships between perceived usefulness of GPT, perceived ease of use of GPT, developer skills and experience, and improved software development productivity. Grounded in the Technology Acceptance Model (TAM) and the SPACE framework, a quantitative research methodology is employed, involving an online survey of 385 software developers in Malaysia who have used GPT-based tools.

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