论文标题
负面研究的观点导致普遍计算
Perspectives on Negative Research Results in Pervasive Computing
论文作者
论文摘要
并非所有的研究都会带来富有成果的结果。尝试新的方法或方法可能会超过艺术的状态，但有时该假设未得到证明或改进是微不足道的。在像普遍计算这样的系统学科中，从通信渠道上的硬件问题到异质软件环境都有许多错误来源。但是，未能成功并不是未能进步。在进行普遍计算的研究时，创建分享洞察力，经验和经验教训的平台至关重要，以免重复相同的错误。有时，一个问题是发现新的研究挑战的症状。根据第20届国际普遍计算与通信国际会议（Percom 2022）共同分居的普遍计算的负面结果的集体投入（Perfail 2022），本文对有关在Pervasive Computing中发表负面结果的观点进行了全面讨论。
Not all research leads to fruitful results; trying new ways or methods may surpass the state of the art, but sometimes the hypothesis is not proven or the improvement is insignificant. In a systems discipline like pervasive computing, there are many sources of errors, from hardware issues over communication channels to heterogeneous software environments. However, failure to succeed is not a failure to progress. It is essential to create platforms for sharing insights, experiences, and lessons learned when conducting research in pervasive computing so that the same mistakes are not repeated. And sometimes, a problem is a symptom of discovering new research challenges. Based on the collective input of the First International Workshop on Negative Results in Pervasive Computing (PerFail 2022), co-located with the 20th International Conference on Pervasive Computing and Communications (PerCom 2022), this paper presents a comprehensive discussion on perspectives on publishing negative results and lessons learned in pervasive computing.
