text: 392,83,1214431462323130369,801743,Neil Ernst,"New paper for #saner20 from my students and I : cross-dataset design discussion mining. Preprint: <LINK> Replication: <LINK> We look at how well classifiers do across project datasets (ok, not great) when labeling design. Big congrats to my students Alvi and Karan who worked very hard on this one. Thanks to the ICSME and SANER reviewers who had some great comments that improved the paper a lot. And finally thanks to @joaobrunet, @gnviviani and others who made it easy for us to build on their work. Have a citation! 😃😃😃😃 @joaobrunet @gnviviani About 2 tweets earlier :)",https://arxiv.org/abs/2001.01424,"Being able to identify software discussions that are primarily about design, which we call design mining, can improve documentation and maintenance of software systems. Existing design mining approaches have good classification performance using natural language processing (NLP) techniques, but the conclusion stability of these approaches is generally poor. A classifier trained on a given dataset of software projects has so far not worked well on different artifacts or different datasets. In this study, we replicate and synthesize these earlier results in a meta-analysis. We then apply recent work in transfer learning for NLP to the problem of design mining. However, for our datasets, these deep transfer learning classifiers perform no better than less complex classifiers. We conclude by discussing some reasons behind the transfer learning approach to design mining. ",Cross-Dataset Design Discussion Mining,4,"['New paper for #saner20 from my students and I : cross-dataset design discussion mining. Preprint: <LINK> Replication: <LINK> We look at how well classifiers do across project datasets (ok, not great) when labeling design.', 'Big congrats to my students Alvi and Karan who worked very hard on this one. Thanks to the ICSME and SANER reviewers who had some great comments that improved the paper a lot.', 'And finally thanks to @joaobrunet, @gnviviani and others who made it easy for us to build on their work. Have a citation! 😃😃😃😃', '@joaobrunet @gnviviani About 2 tweets earlier :)']",20,01,573