The paper “GenSlice: Generalized Semantic History Slicing”, by Zhu Chenguang (UT Austin), Li Yi (NTU), Julia Rubin (UBC) and Marsha Chechik (U Toronto) has won a Distinguished Artifact Award at the 36th IEEE International Conference on Software
Maintenance and Evolution (ICSME) 2020 (acceptance rate 24.9%). The conference was held virtually from September 27 to October 3, 2020. This was one of the two Distinguished Artifact Awards at ICSME this year. The award recognizes the effort of creating
and sharing outstanding research artifacts and is a part of the open-science initiative in the software engineering research community.
The International Conference on Software Maintenance and Evolution (ICSME) is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences,
and challenges in software maintenance and evolution.
The awarded work puts several semantic history slicing techniques developed by the team over the years under a uniform lens and provides a systematic approach for comparisons and analyses. The datasets and evaluation framework were made publicly available
to enable future research in this direction. The first author Mr Zhu Chenguang was a research assistant working with Assistant Professor Li Yi at SCSE and is now pursuing his PhD at UT Austin.