Requirements Engineering Based on Knowledge Management: Theoretical Aspects and a Practical Proposal

Author:

Olmos-Sánchez Karla1,Rodas-Osollo Jorge1

Affiliation:

1. Information Technology National Lab DEyC-IIT-UACJ, Av. del Charro Num. 450 Cd. Juárez, Chihuahua, C.P. 32310, México

Abstract

Despite significant advances in requirements engineering, the problem of eliciting the appropriate and correct requirements persists, partly due to the difficulties to transfer and transform knowledge. In this paper, the final revised version of a requirements elicitation strategy based on a full knowledge management perspective is presented. We assume that a knowledge management perspective is a useful approach for addressing certain inherent problems of requirements elicitation; especially in domains characterized by informal and unstructured information and where domain specialists use large amounts of tacit knowledge to solve everyday situations. Our motivation is to give competitive advantage to any business that faces the challenge of eliciting requirements to design products, find solutions or structure its own valuable knowledge. The promising results of applying the strategy to different real case studies provide empirical insights about the usefulness and value of the strategy.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Problem Tree as a Methodology to Identify Causes and Effects of Complex Systems;2023 12th International Conference On Software Process Improvement (CIMPS);2023-10-18

2. Helping organizations manage the innovation process to join the Cognitive era;2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT);2020-11

3. Knowledge Management Strategies and Processes in Agile Software Development: A Systematic Literature Review;International Journal of Software Engineering and Knowledge Engineering;2019-03

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