In any field, finding the "leading edge" of research is an on-going challenge. Researchers cannot appease reviewers and educators cannot teach to the leading edge of their field if no one agrees on what is the state-of-the-art. Using a novel crowdsourced "reuse graph" approach, we propose here a new method to learn this state-of-the-art. Our reuse graphs are less effort to build and verify than other community monitoring methods (e.g. artifact tracks or citation-based searches). Based on a study of 170 papers from software engineering (SE) conferences in 2020, we have found over 1,600 instances of reuse; i.e., reuse is rampant in SE research. Prior pessimism about a lack of reuse in SE research may have been a result of using the wrong methods to measure the wrong things.
翻译:在任何领域,寻找研究的“领先边缘”都是一项持续的挑战。 研究人员和教育工作者如果对什么是最新技术没有共识,就无法向本领域领先的前沿教育。 我们在此提出一种新的方法来学习这一最新技术。 我们的再利用图比其他社区监测方法(如文物足迹或引证搜索)要少得多地努力来建立和核查。 根据对2020年软件工程会议170份文件的研究,我们发现超过1,600个再利用案例,即再利用在SE研究中十分猖獗。 以往对SE研究缺乏再利用的悲观可能是使用错误方法衡量错误事物的结果。