activity
20182020
most citedAn Identification of Learners' Confusion through Language and Discourse Analysis

4 citations · 8 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20204 cited

Automated Detection of Cyberbullying Against Women and Immigrants and Cross-domain Adaptability

Thushari Atapattu, Mahen Herath, Georgia Zhang +1

Cyberbullying is a prevalent and growing social problem due to the surge of social media technology usage. Minorities, women, and adolescents are among the common victims of cyberb…

cs.CL2020

Enhancing the Identification of Cyberbullying through Participant Roles

Gathika Ratnayaka, Thushari Atapattu, Mahen Herath +2

Cyberbullying is a prevalent social problem that inflicts detrimental consequences to the health and safety of victims such as psychological distress, anti-social behaviour, and su…

cs.SE2020

Beyond Accuracy: Assessing Software Documentation Quality

Christoph Treude, Justin Middleton, Thushari Atapattu

Good software documentation encourages good software engineering, but the meaning of "good" documentation is vaguely defined in the software engineering literature. To clarify this…

cs.CY20194 cited

An Identification of Learners' Confusion through Language and Discourse Analysis

Thushari Atapattu, Katrina Falkner, Menasha Thilakaratne +2

The substantial growth of online learning, in particular, Massively Open Online Courses (MOOCs), supports research into the development of better models for effective learning. Lea…

cs.SE2018

Categorizing the Content of GitHub README Files

Gede Artha Azriadi Prana, Christoph Treude, Ferdian Thung +2

README files play an essential role in shaping a developer's first impression of a software repository and in documenting the software project that the repository hosts. Yet, we la…