The software development knowledge graph is a knowledge graph that integrate multi-source heterogeneous software development knowledge for software development scenarios. To build this knowledge graph, a variety of automated knowledge extraction technologies are used to extract different software development knowledge (e.g., API knowledge, library knowledge, software concept knowledge, sample code knowledge) from various knowledge sources (e.g., API reference documentation, API tutorials, Q&A community discussions, GitHub) as structured representations.
CodeWisdom is the software engineering research team at Fudan University, China. Our research interests mainly focus on software engineering methodologies and tools with and for AI (i.e., AI4SE and SE4AI). In the direction of AI4SE, we are exploring data-driven software engineering techniques and tools for software development, maintenance, and operation using AI techniques, including: software analytics and big data analysis for software development quality and efficiency; intelligent code recommendation and software development question answering using AI technologies such as deep learning and knowledge graph; cloud-native (microservice) architecture and AIOps (Artificial intelligence for IT operations). In the direction of SE4AI, we are exploring software engineering techniques and software infrastructures that are required by the development, maintenance, and operation of AI-enabled applications, including: software infrastructures and agile application development for ubiquitous computing; program synthesis for robotics and testing/debugging/operation of robotic programs; software development, testing, maintenance, and operation approaches for machine learning and deep learning based applications. Our work won the Best Paper Award of ICSM 2011, the ACM SIGSOFT Distinguished Paper Award of ASE 2018/2021, the IEEE TCSE Distinguished Paper Award of ICSME 2018/2019/2020, and the 2018 Best Paper Award of IEEE Transactions on Software Engineering. Besides publishing papers, we are also closely collaborating with leading IT and Internet companies. At the same time, we are developing software systems and tools based on our researches. This website provides demonstrations and online services of some of the software systems and tools that we are developing. We welcome any suggestions and feedbacks about our systems and tools.
