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.
翻译:并非所有的研究都取得了丰硕的成果;尝试新的方式或方法都可能超过最新水平,但有时,假设没有得到证明,或者改进微乎其微。在像普遍计算这样的系统学科中,存在许多错误来源,从通信渠道的硬件问题到多种软件环境。然而,未能成功并不是没有进展。在进行普遍计算研究时,必须建立交流见解、经验和教训的平台,以便不再重复同样的错误。有时,问题就是发现新的研究挑战的症状。根据第一次国际入侵计算负结果讲习班(PerFail 2022)的集体投入,与第20次国际移动计算和通信会议(PerCom 2022)合用,本文件全面讨论了公布负面结果和在普遍计算中吸取的经验教训的观点。