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Block-based programming environments, such as Scratch and Snap!, engage users to create programming artifacts such as games and stories, and share them in an online community. Many Snap! users start programming by reusing and modifying an example project, but encounter many barriers when searching and identifying the relevant parts of the program to learn and reuse. We present Pinpoint, a system that helps Snap! programmers understand and reuse an existing program by isolating the code responsible for specific events during program execution. Specifically, a user can record an execution of the program (including user inputs and graphical output), replay the output, and select a specific time interval where the event of interest occurred, to view code that is relevant to this event. We conducted a small-scale user study to compare users’ program comprehension experience with and without Pinpoint, and found suggestive evidence that Pinpoint helps users understand and reuse a complex program more efficiently.more » « less
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Wang, Wengran; Zhang, Chenhao; Stahlbauer, Andreas; Fraser, Gordon; Price, Thomas W. (, ITiCSE '21: Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education)null (Ed.)Programming environments such as Snap, Scratch, and Processing engage learners by allowing them to create programming artifacts such as apps and games, with visual and interactive output. Learning programming with such a media-focused context has been shown to increase retention and success rate. However, assessing these visual, interactive projects requires time and laborious manual effort, and it is therefore difficult to offer automated or real-time feedback to students as they work. In this paper, we introduce SnapCheck, a dynamic testing framework for Snap that enables instructors to author test cases with Condition-Action templates. The goal of SnapCheck is to allow instructors or researchers to author property-based test cases that can automatically assess students' interactive programs with high accuracy. Our evaluation of SnapCheck on 162 code snapshots from a Pong game assignment in an introductory programming course shows that our automated testing framework achieves at least 98% accuracy over all rubric items, showing potentials to use SnapCheck for auto-grading and providing formative feedback to students.more » « less
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Petrovic, Goran; Ivankovic, Marko; Fraser, Gordon; Just, René (, Proceedings of the International Conference on Software Engineering)null (Ed.)
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Chen, Yiqun; Gopinath, Rahul; Tadakamalla, Anita; Ernst, Michael; Holmes, Reid; Fraser, Gordon; Ammann, Paul; Just, René (, IEEEACM International Conference on Automated Software Engineering)
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