Aligning technical knowledge to an industry domain in global software development: A systematic mapping

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Software-Evolution and Process Pub Date : 2024-07-15 DOI:10.1002/smr.2713
Vitor de Campos, José Maria N. David, Victor Ströele, Regina Braga
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Abstract

Finding software developers with expertise in specific technologies that align with industry domains is an increasingly critical requirement. However, due to the ever-changing nature of the technology industry, locating these professionals has become a significant challenge for companies and institutions. This research presents a comprehensive overview of studies exploring suitable recommendation systems that can assist companies in addressing this pressing need. To conduct this study, we employ a hybrid systematic mapping approach with an initial number of 1,251 studies and a final selection of 21 studies. Our work focuses on collecting data on key technologies, methodologies, and data sets utilized in proposed recommendation systems, to design a new recommendation system that can effectively identify specialists capable of aligning specific technical knowledge with industry domains. The outcomes of this study include insights into the current research trends in this field, alongside a practical overview of considerations necessary for developing a recommendation system that successfully meets the criteria for aligning technical skills with industry domains. By following a hybrid systematic mapping methodology and presenting the outcomes in the form of insights, this research addresses the challenge of finding software developers with domain-specific expertise in a rapidly changing technology industry, laying the groundwork for aligning technical skills with industry domains.

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在全球软件开发过程中将技术知识与行业领域相结合:系统制图
寻找拥有与行业领域相匹配的特定技术专业知识的软件开发人员是一项日益重要的要求。然而,由于技术行业瞬息万变的性质,如何找到这些专业人员已成为公司和机构面临的重大挑战。本研究全面概述了有关探索合适推荐系统的研究,这些系统可以帮助公司满足这一迫切需求。为了开展这项研究,我们采用了混合系统制图法,最初收集了 1,251 项研究,最后筛选出 21 项研究。我们的工作重点是收集建议推荐系统中使用的关键技术、方法和数据集的数据,从而设计出一种新的推荐系统,能够有效地识别出能够将特定技术知识与行业领域相结合的专家。本研究的成果包括对该领域当前研究趋势的深入了解,以及对开发成功满足技术技能与行业领域匹配标准的推荐系统所需考虑因素的实用概述。通过采用混合系统映射方法并以洞察力的形式展示成果,本研究解决了在快速变化的技术行业中寻找具有特定领域专业知识的软件开发人员的难题,为将技术技能与行业领域相结合奠定了基础。
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来源期刊
Journal of Software-Evolution and Process
Journal of Software-Evolution and Process COMPUTER SCIENCE, SOFTWARE ENGINEERING-
自引率
10.00%
发文量
109
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Issue Information Issue Information Issue Information A hybrid‐ensemble model for software defect prediction for balanced and imbalanced datasets using AI‐based techniques with feature preservation: SMERKP‐XGB Issue Information
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