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.
|Title of host publication||2019 Actual Problems of Systems and Software Engineering (APSSE)|
|State||Published - Nov 2019|
|Event||VI International Scientific and Practical Conference Actual Problems of Systems and Software Engineering : APSSE-2019 - 123458 Moscow, 34 Tallinskaya ul. HSE Tikhonov Moscow Institute of Electronics and Mathematics, Москва, Russian Federation|
Duration: 12 Nov 2019 → 14 Nov 2019
Conference number: 2019
|Conference||VI International Scientific and Practical Conference Actual Problems of Systems and Software Engineering|
|Period||12/11/19 → 14/11/19|