Academic Journal

Wait for it: identifying 'On-Hold' self-admitted technical debt

التفاصيل البيبلوغرافية
العنوان: Wait for it: identifying 'On-Hold' self-admitted technical debt
المؤلفون: Maipradit, R, Treude, C, Hata, H, Matsumoto, K
بيانات النشر: SPRINGER
سنة النشر: 2020
المجموعة: The University of Melbourne: Digital Repository
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1382-3256
1573-7616
Relation: Maipradit, R., Treude, C., Hata, H. & Matsumoto, K. (2020). Wait for it: identifying "On-Hold" self-admitted technical debt. EMPIRICAL SOFTWARE ENGINEERING, 25 (5), pp.3770-3798. https://doi.org/10.1007/s10664-020-09854-3.; http://hdl.handle.net/11343/290130
الاتاحة: http://hdl.handle.net/11343/290130
Rights: CC BY ; https://creativecommons.org/licenses/by/4.0
رقم الانضمام: edsbas.499F5CCC
قاعدة البيانات: BASE