摘要翻译:
企业可以使用度量来根据数据做出更客观的决策。尤其是软件初创企业,其经营环境的不确定性甚至混沌性是其特征。以度量的形式使用数据可以帮助软件初创企业在不确定和资源有限的情况下做出正确的决策。然而,尽管传统的业务度量和软件度量在过去已经被研究过,但在软件启动的spe-cific上下文中的度量在学术文献中并没有被广泛覆盖。为了促进这一领域的研究,并为其创建一个起点,我们进行了一次多声部文献综述,重点是实践者文献,以便汇编软件初创企业使用的度量标准列表。该列表旨在作为该领域进一步研究的基础,因为其中的指标是基于从业者提出的建议,而不是经验验证。
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英文标题:
《100+ Metrics for Software Startups - A Multi-Vocal Literature Review》
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作者:
Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen-Duc, Jason Grendus,
Tuure Tuunanen and Pekka Abrahamsson
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最新提交年份:
2019
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:General Literature 一般文献
分类描述:Covers introductory material, survey material, predictions of future trends, biographies, and miscellaneous computer-science related material. Roughly includes all of ACM Subject Class A, except it does not include conference proceedings (which will be listed in the appropriate subject area).
包括介绍性材料、调查材料、未来趋势预测、传记和其他与计算机科学相关的材料。大致包括ACM主题A类的所有内容,但不包括会议记录(将在适当的主题区域中列出)。
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一级分类:Economics 经济学
二级分类:General Economics 一般经济学
分类描述:General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类:Quantitative Finance 数量金融学
二级分类:Economics 经济学
分类描述:q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学,包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要:
Metrics can be used by businesses to make more objective decisions based on data. Software startups in particular are characterized by the uncertain or even chaotic nature of the contexts in which they operate. Using data in the form of metrics can help software startups to make the right decisions amidst uncertainty and limited resources. However, whereas conventional business metrics and software metrics have been studied in the past, metrics in the spe-cific context of software startup are not widely covered within academic literature. To promote research in this area and to create a starting point for it, we have conducted a multi-vocal literature review focusing on practitioner literature in order to compile a list of metrics used by software startups. Said list is intended to serve as a basis for further research in the area, as the metrics in it are based on suggestions made by practitioners and not empirically verified.
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PDF链接:
https://arxiv.org/pdf/1901.04819


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