Set the right example when teaching programming: Test Informed Learning with Examples (TILE)
Many educators face problems with integrating testing into programming education. For instance: existing courses are already fully packed; testing requires skills that students might not yet have; and testing is, although considered important, not always given priority by students. Educators, in general, do not have time to overhaul a programming course to fully integrate testing, resulting in a situation in which the improvement of testing education seems to have slowed down. In this paper, we propose Test Informed Learning with Examples (TILE), a new concept to create test-aware in introductory programming courses. TILE aims to introduce testing as early as possible and in a subtle way. As a result, integration into existing curricula can be done seamlessly and requires less effort than completely overhauling existing programming courses. The contributions of this paper are: the presentation of TILE; experiences of having applied this method in the classroom; and an open repository with assignments using our approach. Applying TILE seems to be a promising approach to introduce testing in early programming. Moreover, some TILEs can be added to existing courses with almost no effort from day one on. More research is needed to gain confidence in the benefits of using TILE over time and to collect evidence that we reached the final aim of TILE, i.e. students that test because that inherently belongs to programming, and not because it is explicitly asked from them.
Tue 18 AprDisplayed time zone: Dublin change
14:00 - 15:30 | Session 10: Program RepairResearch Papers / Previous Editions / Posters at Grand canal Chair(s): Gunel Jahangirova USI Lugano, Switzerland | ||
14:00 20mTalk | Exploring True Test Overfitting in Dynamic Automated Program Repair using Formal Methods Previous Editions Amirfarhad Nilizadeh University of Central Florida, Gary T. Leavens University of Central Florida, Xuan Bach D. Le The University of Melbourne, Corina S. Păsăreanu Carnegie Mellon University, David Cok Safer Software Consulting, LLC DOI | ||
14:20 20mTalk | Embedding Context as Code Dependencies for Neural Program Repair Research Papers Noor Nashid University of British Columbia, Mifta Sintaha University of British Columbia, Ali Mesbah University of British Columbia (UBC) | ||
14:40 20mTalk | CorCA: An Automatic Program Repair Tool for Checking and Removing Effectively C Flaws Research Papers João Inácio LASIGE, Faculdade de Ciências da Universidade de Lisboa, Ibéria Medeiros LaSIGE, Faculdade de Ciências da Universidade de Lisboa | ||
15:00 20mTalk | Set the right example when teaching programming: Test Informed Learning with Examples (TILE) Research Papers Niels Doorn Open Universiteit and NHL Stenden University of Applied Sciences, Tanja E. J. Vos Universitat Politècnica de València and Open Universiteit, Beatriz Marín Universitat Politècnica de València, Erik Barendsen Open Universiteit | ||
15:20 5mTalk | Poster: Software Fault Localization as a Service (SFLaaS) Posters Qusay Idrees Sarhan Department of Software Engineering, University of Szeged, Hassan Bapeer Hassan University of Duhok, Árpád Beszédes Department of Software Engineering, University of Szeged | ||
15:25 5mTalk | Poster: Improving Spectrum Based Fault Localization For Python Programs Using Weighted Code Elements Posters Qusay Idrees Sarhan Department of Software Engineering, University of Szeged, Árpád Beszédes Department of Software Engineering, University of Szeged |