Title: Knowledge mining from project retrospect for organisational learning in the responsive software engineering areas

Authors: Theyyagura M.K. Reddy; Yenduri Gokul; N. Veeranjaneyulu

Addresses: Department of IT, VFSTR (Deemed to be University), Vadlamudi, Guntur, India ' Department of IT, VFSTR (Deemed to be University), Vadlamudi, Guntur, India ' Department of IT, VFSTR (Deemed to be University), Vadlamudi, Guntur, India

Abstract: The space of knowledge administration (KA) offers broadened set of practices that recognises, gather, store and offer the bits of knowledge and encounters people and associations at work. Contemporary situations show that elegant philosophies are sent broadly by result driven associations to convey working programming at a speedier rate. Obviously the continual detachment of human capital has incited these associations to convey more proactive instruments for information catching, lessons learnt and best practices acquired amid past procedures. On the off chance that appropriately put away, these flexible reviews gives a rich wellspring of learning for overseeing repeating and routine issues on one hand and managing existing programming improvement process on the other. The proposed work plans to portray a system for catching implied information created through the procedure of programming improvement in different structures like lessons learnt, specialists' knowledge and gatherings. A lexical asset ASEWordNet specific for nimble programming building area has been produced. This paper considers applying supposition mining and data recovery systems with SENTIWORDNET and ASEWordNet vocabulary for testing the informational collections to order the viewpoints of the caught lessons containing such assessments and verbatim in it.

Keywords: knowledge management; responsive programming improvement; opinion mining; retrospectives.

DOI: 10.1504/IJAIP.2025.147912

International Journal of Advanced Intelligence Paradigms, 2025 Vol.30 No.4, pp.283 - 295

Received: 02 Jan 2019
Accepted: 06 Feb 2019
Published online: 08 Aug 2025 *

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