在寻找软件组件决策过程中的类似经验时,情境因素被认为非常重要:访谈研究

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Software-Evolution and Process Pub Date : 2024-04-11 DOI:10.1002/smr.2668
Efi Papatheocharous, Claes Wohlin, Deepika Badampudi, Jan Carlson, Krzysztof Wnuk
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引用次数: 0

摘要

在软件进化过程中,与组件来源相关的决策会对产品的质量属性和开发指标(如成本、上市时间、易维护性和进一步进化)产生重大影响。因此,这类决策最好有据可依,即利用以前的经验和不同来源的信息,甚至是自己以前的经验。阻碍重复使用以往经验的一个因素是,这些决策高度依赖于具体情况,很难确定以往的经验何时来自足够相似的环境,从而在当前环境中发挥作用。相反,在记录一项决策(作为决策经验)时,很难知道哪些情境因素对将来重用该经验最有帮助。我们进行了一项访谈研究,以确定在使用经验支持部件采购决策时,从业人员认为最重要的背景因素清单,并使用了一个可替代经验来源的特定场景。我们注意到,经验证据越远(离公司或受访者越远),如在线经验,从业人员就越认为背景因素对利用经验很重要。此外,我们还讨论并确定了进一步研究的方向,以使此类决策更加以证据为基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Context factors perceived important when looking for similar experiences in decision-making for software components: An interview study

During software evolution, decisions related to components' origin or source significantly impact the quality properties of the product and development metrics such as cost, time to market, ease of maintenance, and further evolution. Thus, such decisions should ideally be supported by evidence, i.e., using previous experiences and information from different sources, even own previous experiences. A hindering factor to such reuse of previous experiences is that these decisions are highly context-dependent and it is difficult to identify when previous experiences come from sufficiently similar contexts to be useful in a current setting. Conversely, when documenting a decision (as a decision experience), it is difficult to know which context factors will be most beneficial when reusing the experience in the future. An interview study is performed to identify a list of context factors that are perceived to be most important by practitioners when using experiences to support decision-making for component sourcing, using a specific scenario with alternative sources of experiences. We observed that the further away (from a company or an interviewee) the experience evidence is, as is the case for online experiences, the more context factors are perceived as important by practitioners to make use of the experience. Furthermore, we discuss and identify further research to make this type of decision-making more evidence-based.

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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 A hybrid‐ensemble model for software defect prediction for balanced and imbalanced datasets using AI‐based techniques with feature preservation: SMERKP‐XGB Issue Information LLMs for science: Usage for code generation and data analysis
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