@article{oai:naist.repo.nii.ac.jp:00004245,
 author = {Maipradit, Rungroj and Treude, Christoph and 畑, 秀明 and Hata, Hideaki and 松本, 健一},
 journal = {Empirical Software Engineering},
 month = {Sep},
 note = {Self-admitted technical debt refers to situations where a software developer knows that their current implementation is not optimal and indicates this using a source code comment. In this work, we hypothesize that it is possible to develop automated techniques to understand a subset of these comments in more detail, and to propose tool support that can help developers manage self-admitted technical debt more effectively. Based on a qualitative study of 333 comments indicating self-admitted technical debt, we first identify one particular class of debt amenable to automated management: on-hold self-admitted technical debt (on-hold SATD), i.e., debt which contains a condition to indicate that a developer is waiting for a certain event or an updated functionality having been implemented elsewhere. We then design and evaluate an automated classifier which can identify these on-hold instances with an area under the receiver operating characteristic curve (AUC) of 0.98 as well as detect the specific conditions that developers are waiting for. Our work presents a first step towards automated tool support that is able to indicate when certain instances of self-admitted technical debt are ready to be addressed.},
 title = {Wait for it: identifying “On-Hold” self-admitted technical debt},
 volume = {25},
 year = {2020},
 yomi = {ハタ, ヒデアキ and マツモト, ケンイチ}
}