Visual algorithm simulation (VAS) is a method used in teaching data structures and algorithms. In a VAS exercise a learner simulates the steps of an algorithm by interacting with data structure visualisations and receives feedback on the correctness of steps taken. A data format for storing VAS simulation traces would allow for later inspection of the process by instructors and researchers. In this study we describe the development of a prototype language for this purpose. The initial version was tested in a research project where the language was used for recording traces, which were later analyzed. The results were positive but also instructed some revisions in the data format and the requirements. We describe an iterative development process for extending and improving the language and the tooling. This is a work in progress: we will proceed with the data format specification, as well as further develop the technologies needed to use the data format in conjunction with VAS exercises.

Towards a JSON-based Algorithm Animation Language

The ninth IEEE Working Conference on Software Visualization (VISSOFT 2021) builds upon the success of the previous eight editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Sympo0sium on Software Visualization (SOFTVIS). In 2021, VISSOFT will take place and be co-located with ICSME.