Complete List of Studies - Aligning technical knowledge to an industry domain in global software development: a systematic mapping

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 1251 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, with the intention of designing 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. 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.

寻觅具备与行业领域适配的特定技术专长的软件开发人员，已成为愈发关键的需求。然而，由于科技行业瞬息万变的特性，搜寻这类专业人才已成为企业与科研机构面临的重大挑战。本研究对旨在协助企业应对这一迫切需求的相关推荐系统研究进行了全面综述。本研究采用混合系统映射研究方法，初始检索得到1251项相关研究，最终筛选出21项纳入分析。本研究聚焦于收集现有推荐系统所采用的核心技术、方法论与数据集相关数据，旨在设计一套能够有效识别可将特定技术知识与行业领域相匹配的专业人才的新型推荐系统。本研究的成果包括对该领域当前研究趋势的深入洞察，以及为开发能够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量因素的实操性综述。本研究针对快速迭代的科技行业中寻觅具备领域专属专长软件开发人员的难题展开研究，为实现技术技能与行业领域的匹配奠定了基础。