Test Data Generation Framework for Automatic Programming Assessment

Automatic Programming Assessment (APA) has recently become a significant method in assisting educators of programming courses to automatically mark and grade students’ programming as its counterpart; the typical manual tasks are prone to errors and leading to inconsistency. By default, test data gen...

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Main Authors:	Rohaida, Romli, Shahida, Sulaiman, Kamal Z., Zamli
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/8398/ http://umpir.ump.edu.my/id/eprint/8398/ http://umpir.ump.edu.my/id/eprint/8398/1/Test_Data_Generation_Framework_for_Automatic_Programming_Assessment.pdf

id	ump-8398
recordtype	eprints
spelling	ump-83982018-01-16T02:22:22Z http://umpir.ump.edu.my/id/eprint/8398/ Test Data Generation Framework for Automatic Programming Assessment Rohaida, Romli Shahida, Sulaiman Kamal Z., Zamli QA76 Computer software Automatic Programming Assessment (APA) has recently become a significant method in assisting educators of programming courses to automatically mark and grade students’ programming as its counterpart; the typical manual tasks are prone to errors and leading to inconsistency. By default, test data generation process plays an important role to perform a dynamic testing on students’ programs. In software testing field, there have been diverse automated methods for test data generation. Unfortunately, APA seldom adopts these methods. Merely limited studies have attempted to integrate APA and test data generation to include more useful features and to provide a precise and thorough quality of program testing. Thus, we propose a framework of test data generation so-called FaSt-Gen to cover both the functional and structural testing of a program for APA. It aims to assist the lecturers of programming courses to furnish an adequate set of test data to assess students’ programming solutions regardless of having the concrete expertise in the particular knowledge of test cases design. FaStGen integrates the positive and negative testing criteria (or reliable and valid test adequacy criteria) to derive desired test data and test set schema. The findings from the conducted experiment depict that FaSt-Gen improves the reliability and validity test data adequacy in programming assessments. 2014-09-23 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8398/1/Test_Data_Generation_Framework_for_Automatic_Programming_Assessment.pdf Rohaida, Romli and Shahida, Sulaiman and Kamal Z., Zamli (2014) Test Data Generation Framework for Automatic Programming Assessment. In: 8th Malaysian Software Engineering Conference (MySEC), 23-24 September 2014 , Langkawi, Kedah. pp. 84-89.. http://dx.doi.org/10.1109/MySec.2014.6985993
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Rohaida, Romli Shahida, Sulaiman Kamal Z., Zamli Test Data Generation Framework for Automatic Programming Assessment
description	Automatic Programming Assessment (APA) has recently become a significant method in assisting educators of programming courses to automatically mark and grade students’ programming as its counterpart; the typical manual tasks are prone to errors and leading to inconsistency. By default, test data generation process plays an important role to perform a dynamic testing on students’ programs. In software testing field, there have been diverse automated methods for test data generation. Unfortunately, APA seldom adopts these methods. Merely limited studies have attempted to integrate APA and test data generation to include more useful features and to provide a precise and thorough quality of program testing. Thus, we propose a framework of test data generation so-called FaSt-Gen to cover both the functional and structural testing of a program for APA. It aims to assist the lecturers of programming courses to furnish an adequate set of test data to assess students’ programming solutions regardless of having the concrete expertise in the particular knowledge of test cases design. FaStGen integrates the positive and negative testing criteria (or reliable and valid test adequacy criteria) to derive desired test data and test set schema. The findings from the conducted experiment depict that FaSt-Gen improves the reliability and validity test data adequacy in programming assessments.
format	Conference or Workshop Item
author	Rohaida, Romli Shahida, Sulaiman Kamal Z., Zamli
author_facet	Rohaida, Romli Shahida, Sulaiman Kamal Z., Zamli
author_sort	Rohaida, Romli
title	Test Data Generation Framework for Automatic Programming Assessment
title_short	Test Data Generation Framework for Automatic Programming Assessment
title_full	Test Data Generation Framework for Automatic Programming Assessment
title_fullStr	Test Data Generation Framework for Automatic Programming Assessment
title_full_unstemmed	Test Data Generation Framework for Automatic Programming Assessment
title_sort	test data generation framework for automatic programming assessment
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/8398/ http://umpir.ump.edu.my/id/eprint/8398/ http://umpir.ump.edu.my/id/eprint/8398/1/Test_Data_Generation_Framework_for_Automatic_Programming_Assessment.pdf
first_indexed	2023-09-18T22:05:56Z
last_indexed	2023-09-18T22:05:56Z
_version_	1777414707589677056

Test Data Generation Framework for Automatic Programming Assessment

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