We are SOAR (SOftware Analytics Research) group at School of Computing and Information System, Singapore Management University. We primarily work at the intersection of software engineering, cybersecurity and data science, encompassing socio-technical aspects, and analysis of different kinds of software artefacts (e.g., code, execution traces, bug reports, Q&A posts, and developer networks) and the interplay among them. We are particularly interested in transforming passive software engineering data into automated tools that can improve system reliability, security, and performance, increase developer productivity, and generate new insights for decision makers. We are also interested in connecting with practitioners to distil insights and discover pain points that can help direct future research effort.
“Soar High to The Endless Sky”
Our group loves to collaborate. Aside from colleagues in SMU, our group has collaborated with Microsoft Research (Redmond and India), Adobe (USA), SAP (Germany), University of Illinois at Urbana Champaign (USA), CMU (USA), NUS, NTU, Zhejiang University (China), Peking University (China), Chinese University of Hong Kong (China), IIITD (India), Weizmann Institute of Science (Israel), Tel Aviv University (Israel), University of Milano-Biccoca (Italy), DIKU (Denmark), Inria (France), Monash University (Australia), Australian National University (Australia), Stellenbosch University (South Africa), and many more.
Our work has been published in top/major conferences and journals in the areas of software engineering (ICSE, FSE, ASE, ISSTA, ICSME, PLDI, TSE, TOSEM), artificial intelligence and data science (IJCAI, AAAI, KDD, VLDB, ICDE, ACL), and cybersecurity (ESORICS, TIFS).
We are looking for passionate new PhD students, Postdocs, and Research Engineers to join the team (more info)! We are grateful for funding from NRF, MoE, AI Singapore, and SDSC.
Congratulations Martin WEYSSOW, ZHOU Xin, and Kisub KIM for getting their ESEC/FSE 2023 paper accepted titled "On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code"!
March 2023Congratulations to ZHANG Ting for successfully defending her Thesis Proposal!
March 2023Congratulations to YANG Zhou, WANG Chenyu, SHI Jieke, Hoang James (Data61, Eveleigh), Pavneet Kochhar (Guest), Ivana Clairine IRSAN, ZHANG Ting, Ferdian THUNG, Kisub KIM, Ratnadira WIDYASARI, SIM Sheng Qin, Fiona WEE Hui Yu, Camellia LOK Shu Fen, Jack PHAN Da Jie, Constance TAN Hui Yan, and TAY Qijin for the acceptance of their MSR 2023 papers "What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues", "PICASO: Enhancing API Recommendations with Relevant Stack Overflow Posts", "NICHE: A Curated Dataset of Engineered Machine Learning Projects in Python"!
March 2023Congratulations to LE CONG Thanh and Bach Le (Guest) for the acceptance of their TSE paper "Invalidator: Automated Patch Correctness Assessment via Semantic and Syntactic Reasoning"!
February 2023Congratulations to XU Bowen for securing an Assistant Professor position at the North Carolina State University (NCSU)!
February 2023Congratulations to ZHOU Xin, Kisub KIM, XU Bowen, HAN DongGyun (Guest), and HE Junda for the acceptance of their ICPC 2023 paper titled "Generation-based Code Review Automation: How Far are We?"!
SOftware Analytics Research @ SMU
