Grading Java code submissions in MeMOOC

Szabó, Martin; Nehéz, Károly

doi:10.26649/musci.2018.026

Cited by 4 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [20], the authors presented an automatic Java code grading function called MeMOOC for checking syntactical, semantical, and pragmatic aspects with compiling, Checkstyle, and JUnit for MOOC.…”

Section: Related Work In Literaturementioning

confidence: 99%

Answer Code Validation Program with Test Data Generation for Code Writing Problem in Java Programming Learning Assistant System

Wai¹,

Funabiki²,

Aung³

et al. 2023

Preprint

View full text Add to dashboard Cite

To assist Java programming learning of novice students, we have developed the web-based Java programming learning assistant system (JPLAS). JPLAS provides several types of exercise problems to cultivate code reading/writing skills at various levels. In JPLAS, the code writing problem (CWP) asks a student to write a source code that will pass the test code given in the assignment where the correctness is verified by running them on JUnit. In this paper, to reduce the teacher load at marking process, we present the answer code validation program that verifies all the source codes from a lot of students for each assignment at a time and reports the number of passing tests for each source code in the CSV file. Besides, to test a source code with various input data, we implement the test data generation algorithm that identifies the data type, generates a new data, and replaces it for each test data in the test code. Furthermore, to verify the correctness of the implemented procedure in the source code, we introduce the intermediate state testing in the test code. For evaluations, we applied the proposal to source codes and test codes in a Java programming course in Okayama university, Japan, and confirmed the validity and effectiveness.

show abstract

Section: Related Work In Literaturementioning

confidence: 99%

Answer Code Validation Program with Test Data Generation for Code Writing Problem in Java Programming Learning Assistant System

Wai¹,

Funabiki²,

Aung³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Many APASs have been developed since the appearance of computer program assessment by automated assessment systems, such as the Rensselaer grader [1]. Their popularity has increased with the appearance of online coding contests [6] and challenges and Massive Open Online Courses (MOOCs) [7]. The benefits of using APAS have been widely examined and reported in scientific literature, as shown by the large number of published reviews of various facets of automated assessment tools, e.g.…”

Section: Related Workmentioning

confidence: 99%

Building a Comprehensive Automated Programming Assessment System

et al. 2020

View full text Add to dashboard Cite

Automated Programming Assessment Systems (APAS) are used for overcoming problems associated with manually managed programming assignments, such as objective and efficient assessing in large classes and providing timely and helpful feedback. In this paper we survey the literature and software in this field and identify the set of necessary features that make APAS comprehensive -such that it can support all key stages in the assessment process. Put differently, comprehensive APAS is generic enough to meet the demands of ''any'' computer science course. Despite the vast number of publications, the choice of software turns out to be very limited. We contribute by developing Edgar, a comprehensive open-source APAS which, to the best of our knowledge, exceeds any other similar free and/or open-source tool. Edgar is the result of three years of development and usage in, for the time being, eight courses dealing with various programming languages and paradigms (C, Java, SQL, etc.). Edgar supports various text-based programming languages, multi-correct multiple-choice questions, provides rich exam logging and monitoring infrastructure to prevent potential fraudulent behaviour, and subsequent data analysis and visualization of students' scores, exams, question quality, etc. It can be deployed on all major operating systems and is written in a modular fashion so that it can be adjusted and scaled to a custom fit. We comment on the architecture and present data from real-world use-cases to support these claims. Edgar is in active use today (1000+ students per semester) and it is being constantly developed with new features.

show abstract

Test Code Improvements for Code Writing Problem in Java Programming Assistant System

Funabiki

et al. 2021

2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)

View full text Add to dashboard Cite

Grading Java code submissions in MeMOOC

Cited by 4 publications

References 8 publications

Answer Code Validation Program with Test Data Generation for Code Writing Problem in Java Programming Learning Assistant System

Answer Code Validation Program with Test Data Generation for Code Writing Problem in Java Programming Learning Assistant System

Building a Comprehensive Automated Programming Assessment System

Test Code Improvements for Code Writing Problem in Java Programming Assistant System

Contact Info

Product

Resources

About