Zobrazeno 1 - 7
of 7
pro vyhledávání: '"John Wrenn"'
Publikováno v:
Proceedings of the 22nd Koli Calling International Conference on Computing Education Research.
Context: This work is based on property-based testing (PBT). PBT is an increasingly important form of software testing. Furthermore, it serves as a concrete gateway into the abstract area of formal methods. Specifically, we focus on students learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8356903224fd359b990d1bcabc422117
Autor:
Shriram Krishnamurthi, John Wrenn
Publikováno v:
Koli Calling
Students faced with a programming task often begin their implementation without a sufficient understanding of the problem. Several prior papers suggest that formulating input–output examples before beginning one’s implementation is the key to ave
Context: The success of QuickCheck has led to the development of property-based testing (PBT) libraries for many languages and the process is getting increasing attention. However, unlike regular testing, PBT is not widespread in collegiate curricula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4f16faaf146eff3d755e3201e75b073
Autor:
Shriram Krishnamurthi, John Wrenn
Publikováno v:
ICER
Flawed problem comprehension leads students to produce flawed implementations. However, testing alone is inadequate for checking comprehension: if a student develops both their tests and implementation with the same misunderstanding, running their te
Publikováno v:
ICER
Instructors routinely use automated assessment methods to evaluate the semantic qualities of student implementations and, sometimes, test suites. In this work, we distill a variety of automated assessment methods in the literature down to a pair of a
Autor:
John Wrenn, Shriram Krishnamurthi
Publikováno v:
Onward!
This paper presents a lightweight process to guide error report authoring. We take the perspective that error reports are really classifiers of program information. They should therefore be subjected to the same measures as other classifiers (e.g., p