平衡资源和负荷:导致技术债务形成或持续的11种非技术现象

R. Brenner
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引用次数: 8

摘要

有效的技术债务管理的技术方法——度量、描述符、转换工具等等——是必要的,但还不够。我们还必须解决心理、政治、金融和政策领域的技术债务驱动因素。开放的问题是:组织是否会利用技术债务管理中令人印象深刻的基于技术的进步来提高工程师的效率?或者他们会用这些技术节省的成本做其他事情吗?心理学、政治、金融和政策在决定我们能否控制技术债务方面发挥着关键作用。例如,如果工程团队在管理和防止技术债务方面变得更加熟练,而营销和销售团队没有改进他们自己的过程,那么营销和销售团队对新产品和新功能的需求可能会比现在更短。通常会有日程压力。因此,企业敏捷性和工程生产力可能不会从新的基于技术的技术债务管理功能中受益,即使技术债务的负担可能会减少。如果非技术人员的行为没有显著的变化,我们可以预期技术债务的非技术原因的影响将持续存在,甚至可能增加其重要性。在本文中,我们探讨了十一个非技术现象,有助于技术债务的形成和持久性。我们描述了每一个,并推荐了可以建议(a)从组织行为的角度来看,这种现象对技术债务的影响的重要性的调查线;(b)有助于评估这种重要性并最终有助于减轻这种现象的有害影响的技术;或(c)改变与现象有关的政策或会计方法,以减少技术债务的形成率或持久性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Balancing Resources and Load: Eleven Nontechnical Phenomena that Contribute to Formation or Persistence of Technical Debt
Technical approaches to effective technical debt management—metrics, descriptors, transformation tools, and the like—are necessary but insufficient. We must also address drivers of technical debt that lie in the realm of psychology, politics, finance, and policy. The open question is: Will organizations exploit the impressive technology-based advancements in technical debt management to make engineers more effective? Or will they do something else with the cost savings those technologies generate? Psychology, politics, finance, and policy play critical roles in determining whether we gain control of technical debt. For example, if engineering groups become more adept at managing and preventing technical debt, while marketing and sales groups do not improve their own processes, the demands of marketing and sales groups for new products and capabilities might be associated with even shorter timelines than they now are. Schedule pressure usually results. Consequently, enterprise agility and engineering productivity might not benefit from the new technology-based technical debt management capabilities, even though the burden of technical debt might be reduced. Absent a significant change in the behavior of non-technologists, we can expect the effects of nontechnical causes of technical debt to persist, and possibly even to increase in significance. In this paper we explore eleven nontechnical phenomena that contribute to technical debt formation and persistence. We describe each one, and recommend lines of inquiry that can suggest (a) the significance of the phenomenon's effects on technical debt, from an organizational behavior perspective; (b) technologies that could aid in assessing that significance, and which could eventually aid in mitigating the phenomenon's deleterious effects; or (c) changes to phenomenon-related policy or accounting methods that could reduce the rate of formation or the persistence of technical debt.
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