DOI

Software documentation contains a large amount of duplicate text, which is often comprised of near duplicates —repetitions of the same text with slight differences. They emerge due to numerous copy-pastes that have been slightly modified. Uncontrolled near duplicates complicate documentation support to a significant degree. There are some research papers on detection and management of duplicates in software documentation, but only the Duplicate Finder approach addresses the problem of near duplicates. Nevertheless, Duplicate Finder’s search algorithms do not provide extraction of archetype (common text) for detected groups of near duplicates (a set of near duplicates belong to one group if they have a lot of commonalities). Archetype of group can be used in visualization of the common text and differences of duplicates for manual analysis, as well as for reuse of documentation. In this paper, we present an algorithm for archetype extraction and results of experiments on documentation of several well-known open source Java projects JUnit, Mockito, SLF4J.
Язык оригиналаанглийский
Название основной публикации2019 Actual Problems of Systems and Software Engineering (APSSE)
Страницы126-130
DOI
СостояниеОпубликовано - ноя 2019
Событие6th International Conference Actual Problems of System and Software Engineering, APSSE 2019 - 123458 Moscow, 34 Tallinskaya ul. HSE Tikhonov Moscow Institute of Electronics and Mathematics, Moscow, Российская Федерация
Продолжительность: 12 ноя 201914 ноя 2019
Номер конференции: 2019
https://apspe.hse.ru/en/2019/

конференция

конференция6th International Conference Actual Problems of System and Software Engineering, APSSE 2019
Сокращенное названиеAPSSE
Страна/TерриторияРоссийская Федерация
ГородMoscow
Период12/11/1914/11/19
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