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Frequency and Impact of Technical Debt Characteristics in Companies Producing Mechatronic Products

机译:生产机电产品的公司技术债务特征的频率和影响

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Complexity of products, volatility in global markets, and the increasingly rapid pace of innovations may make it difficult to know how to approach challenging situations in mechatronic design and production. Technical Debt (TD) is a metaphor that describes the practical bargain of exchanging short-term benefits for long-term negative consequences. Oftentimes, the scope and impact of TD, as well as the cost of corrective measures, are underestimated. Especially for mechatronic teams in the mechanical, electrical, and software disciplines, the adverse interdisciplinary ripple effects of TD incidents are passed on throughout the life cycle. The analysis of the first comprehensive survey showed that not only do the TD types differ in cross-disciplinary comparisons, but different characteristics can also be observed depending on whether a discipline is studied in isolation or in combination with others. To validate the study results and to report on a general consciousness of TD in the disciplines, this follow-up study involves 15 of the 50 experts of the predecessor study and reflects the frequency and impact of technical debt in industrial experts’ daily work using a questionnaire. These experts rate 14 TD types, 47 TD causes, and 33 TD symptoms in terms of their frequency and impact. Detailed analyses reveal consistent results for the most frequent TD types and causes, yet they show divergent characteristics in a profound exploration of discipline-specific phenomena. Thus, this study has the potential to set the foundations for future automated TD identification analyses in mechatronics.
机译:产品的复杂性,全球市场波动,创新越来越快速的节奏可能使得难以知道如何在机电性设计和生产中接近具有挑战性的情况。技术债务(TD)是一个隐喻,描述了为长期负面后果交换短期效益的实际讨价还价。通常,TD的范围和影响以及纠正措施的成本被低估了。特别是对于机械,电气和软件学科的机电团队,在整个生命周期中都通过了TD事件的不利跨性跨荡效应。对第一综合调查的分析表明,TD类型不仅在跨学科比较方面不同,而且还可以观察到不同的特征,具体取决于纪律是否被隔离或与他人组合进行了学科。为了验证研究成果并报告学科中TD的一般意识,这项后续研究涉及前身研究的50个专家中的15个,并反映了工业专家日常工作中的技术债务的频率和影响调查问卷。这些专家在其频率和冲击方面率为14种TD型,47个TD原因和33个TD症状。详细分析揭示了最常见的TD类型和原因的一致结果,但它们在深受对纪律特定现象的深远探索中表现出不同的特征。因此,该研究有可能在机电一体化中设置未来自动化TD识别分析的基础。

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