000			02371nam a22002417a 4500
003			FT8788
005			20251112140221.0
008			251112b ||||| |||| 00| 0 eng d
041			_aengtag
050			_aT5 M46 2025
082			_a.
100	1		_aMendoza, Aldren John M.; Nacilla, Norman Alexiz D.; San Gabriel, Charles Sherwin B.
245			_aiTaskDev: A software as a service with adaptive algorithm for optimized software development planning across methodologies
264		1	_a. _b. _cc2025
300			_bCapstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
336			_2text _atext _btext
337			_2unmediated _aunmediated _bunmediated
338			_2volume _avolume _bvolume
505			_aABSTRACT: In software development, choosing the right Software Development Life Cycle (SDLC) model is critical but challenging due to the diversity of models, each tailored to specific project requirements. Many existing tools fail to fully leverage SDLC frameworks or provide robust automation. This study introduces a web-based workspace system designed to enhance software engineering projects be streamlining processes and improving efficiency. The proposed system integrates a Natural Language Processing (NLP) model, developed using Azure ML and the Open AI API, to recommend the most suitable SDLC model for a given project. This ensures accurate and context-aware suggestions, optimizing the development process. Additionally, a dynamic programming algorithm automation task allocation, adapting to the recommended SDLC to improve resource management and project flow. The system’s automation capabilities were rigorously tested across various project scenarios to validate its effectiveness. To further enhance functionality, GiftHub API services were incorporated to provide comprehensive project analytics, leveraging repository commits and issue tracking for real-time insights. This web-based workspace system offers a cohesive solution for software development, combining intelligent SDLC recommendations, automated task management, and robust analytics. By addressing the limitations of existing tools, it paves the way for more efficient and adaptable software engineering practices, ultimately enhancing project outcomes.
526			_aF
655			_aacademic writing
942			_2lcc _cMS
999			_c37086 _d37086