An approach towards automatic testing of student programs using token patterns

Chung Man Tang; Yuen Tak Yu; Chung Keung Poon

An approach towards automatic testing of student programs using token patterns

Chung Man Tang, Yuen Tak Yu, Chung Keung Poon

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

16 Citations (Scopus)

Abstract

Many universities use software systems to assess student programs by means of automatic testing, but most of these systems suffer from the technical limitation of requiring rigidly defined output formats. As such, a program that implements the correct algorithm is often rejected as incorrect due to minor non-conformance of its output. We propose a new approach to assessing the correctness of students' program outputs based on token patterns.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on Computers in Education, ICCE 2009
Pages	188-190
Publication status	Published - 2009
Event	17th International Conference on Computers in Education, ICCE 2009 - Hong Kong, Hong Kong, China Duration: 30 Nov 2009 → 4 Dec 2009

Conference

Conference	17th International Conference on Computers in Education, ICCE 2009
Place	Hong Kong, China
City	Hong Kong
Period	30/11/09 → 4/12/09

Research Keywords

Automated assessment system
Learning system for computer programming
Pattern-based program testing
Program assessment
Software testing
Token pattern

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title = "An approach towards automatic testing of student programs using token patterns",

abstract = "Many universities use software systems to assess student programs by means of automatic testing, but most of these systems suffer from the technical limitation of requiring rigidly defined output formats. As such, a program that implements the correct algorithm is often rejected as incorrect due to minor non-conformance of its output. We propose a new approach to assessing the correctness of students' program outputs based on token patterns.",

keywords = "Automated assessment system, Learning system for computer programming, Pattern-based program testing, Program assessment, Software testing, Token pattern",

author = "Tang, {Chung Man} and Yu, {Yuen Tak} and Poon, {Chung Keung}",

year = "2009",

language = "English",

isbn = "9789868473539",

pages = "188--190",

booktitle = "Proceedings of the 17th International Conference on Computers in Education, ICCE 2009",

note = "17th International Conference on Computers in Education, ICCE 2009 ; Conference date: 30-11-2009 Through 04-12-2009",

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An approach towards automatic testing of student programs using token patterns. / Tang, Chung Man ; Yu, Yuen Tak; Poon, Chung Keung.
Proceedings of the 17th International Conference on Computers in Education, ICCE 2009. 2009. p. 188-190.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Yu, Yuen Tak

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AB - Many universities use software systems to assess student programs by means of automatic testing, but most of these systems suffer from the technical limitation of requiring rigidly defined output formats. As such, a program that implements the correct algorithm is often rejected as incorrect due to minor non-conformance of its output. We propose a new approach to assessing the correctness of students' program outputs based on token patterns.

KW - Automated assessment system

KW - Learning system for computer programming

KW - Pattern-based program testing

KW - Program assessment

KW - Software testing

KW - Token pattern

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M3 - RGC 32 - Refereed conference paper (with host publication)

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EP - 190

BT - Proceedings of the 17th International Conference on Computers in Education, ICCE 2009

T2 - 17th International Conference on Computers in Education, ICCE 2009

Y2 - 30 November 2009 through 4 December 2009

ER -

An approach towards automatic testing of student programs using token patterns

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Research Keywords

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