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Selection of third party software in Off-The-Shelf-based software development—An interview study with industrial practitioners

机译:在现有软件开发中选择第三方软件—与行业从业者的访谈研究

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摘要

The success of software development using third party components highly depends on the ability to select a suitable component for the intended application. The evidence shows that there is limited knowledge about current industrial OTS selection practices. As a result, there is often a gap between theory and practice, and the proposed methods for supporting selection are rarely adopted in the industrial practice. This paper's goal is to investigate the actual industrial practice of component selection in order to provide an initial empirical basis that allows the reconciliation of research and industrial endeavors. The study consisted of semi-structured interviews with 23 employees from 20 different software-intensive companies that mostly develop web information system applications. It provides qualitative information that help to further understand these practices, and emphasize some aspects that have been overlooked by researchers. For instance, although the literature claims that component repositories are important for locating reusable components; these are hardly used in industrial practice. Instead, other resources that have not received considerable attention are used with this aim. Practices and potential market niches for software-intensive companies have been also identified. The results are valuable from both the research and the industrial perspectives as they provide a basis for formulating well-substantiated hypotheses and more effective improvement strategies.
机译:使用第三方组件进行软件开发的成功很大程度上取决于为预期应用选择合适组件的能力。证据表明,对当前的工业OTS选择做法知之甚少。结果,理论与实践之间常常存在差距,并且所提出的支持选择的方法在工业实践中很少采用。本文的目的是研究组件选择的实际工业实践,以提供一个初步的经验基础,从而使研究与工业努力保持一致。这项研究包括对来自20个不同软件密集型公司的23名员工的半结构化访谈,这些公司主要开发Web信息系统应用程序。它提供了定性信息,有助于进一步了解这些做法,并强调了研究人员忽略的某些方面。例如,尽管文献声称组件存储库对于查找可重用组件很重要;这些几乎没有在工业实践中使用。取而代之的是,为此目的使用了其他尚未引起足够重视的资源。还确定了软件密集型公司的做法和潜在的市场利基。从研究和工业角度来看,这些结果都是有价值的,因为它们为制定充分依据的假设和更有效的改进策略提供了基础。

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