The automated web application testing (AWAT) system

Sztipanovits, Mate'; Qian, Kai; Fu, Xiang

doi:10.1145/1593105.1593128

Cited by 12 publications

(7 citation statements)

References 8 publications

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“…Programming assignments are difficult to assess and provide feedback in a timely manner for many reasons, including multiple possible approaches to problem solving, necessity to test against many cases to reach sufficient test coverage, and different individual coding habits and styles [3], [12], [13]. As student enrollment grows, the first challenge to address was the assessment.…”

Section: Related Work a Automated Grading And Feedbackmentioning

confidence: 99%

Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments

Hao

Wilson

Ottaway

et al. 2019

2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

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This study investigated the essential of meaningful automated feedback for programming assignments. Three different types of feedback were tested, including (a) What's wrong -what test cases were testing and which failed, (b) Gapcomparisons between expected and actual outputs, and (c) Hinthints on how to fix problems if test cases failed. 46 students taking a CS2 participated in this study. They were divided into three groups, and the feedback configurations for each group were different: (1) Group One -What's wrong, (2) Group Two -What's wrong + Gap, (3) Group Three -What's wrong + Gap + Hint. This study found that simply knowing what failed did not help students sufficiently, and might stimulate system gaming behavior. Hints were not found to be impactful on student performance or their usage of automated feedback. Based on the findings, this study provides practical guidance on the design of automated feedback.

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Section: Related Work a Automated Grading And Feedbackmentioning

confidence: 99%

Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments

Hao

Wilson

Ottaway

et al. 2019

2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

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“…In [36], the execution of submitted codes produces SVG charts that are then analysed with a static approach to extract the information needed to assess the submission. In [81], the authors propose to assess web applications by checking that the produced web applications contain the expected component. For that, the code of the generated HTML pages is examined using static analyses.…”

Section: Hybrid Approachesmentioning

confidence: 99%

Automated Code Assessment for Education: Review, Classification and Perspectives on Techniques and Tools

Combéfis

2022

Software

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Automatically assessing code for learning purposes is a challenging goal to achieve. On-site courses and online ones developed for distance learning both require automated ways to grade learners’ programs to be able to scale and manage a large public with a limited teaching staff. This paper reviews recent automated code assessment systems. It proposes a systematic review of the possible analyses they can perform with the associated techniques, the kinds of produced feedback and the ways they are integrated in the learning process. It then discusses the key challenges for the development of new automated code assessment systems and the interaction with human grading. In conclusion, the paper draws several recommendations for new research directions and for possible improvements for automatic code assessment.

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“…Figure 3 shows one example from [9], which evaluates the correctness of a simple bookstore application.…”

Section: A Case Studymentioning

confidence: 99%

“…BAUT is a continuation of our prior work AWAT [9] and APOGEE [1]. It can be regarded as an enhanced automated project grading tool for web application development classes.…”

Section: Introductionmentioning

confidence: 99%

BAUT: A Bayesian Driven Tutoring System

Tan

Qian

et al. 2010

2010 Seventh International Conference on Information Technology: New Generations

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This paper presents the design of BAUT, a tutoring system that explores statistical approach for providing instant project failure analysis. Driven by a Bayesian Network (BN) inference engine, BAUT analyzes the test cases failed by a student project submission and provides instant diagnosis that guides students in identifying and removing software bugs. Using a parameter learning process, BAUT is able to improve the quality of its analysis. The initial case study with the prototype demonstrates the potential of the system.

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The automated web application testing (AWAT) system

Cited by 12 publications

References 8 publications

Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments

Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments

Automated Code Assessment for Education: Review, Classification and Perspectives on Techniques and Tools

BAUT: A Bayesian Driven Tutoring System

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