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...
Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
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2014
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Online Access: | http://umpir.ump.edu.my/id/eprint/8398/1/Test_Data_Generation_Framework_for_Automatic_Programming_Assessment.pdf |
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author | Rohaida, Romli Shahida, Sulaiman Kamal Z., Zamli |
author_facet | Rohaida, Romli Shahida, Sulaiman Kamal Z., Zamli |
author_sort | Rohaida, Romli |
collection | UMP |
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. |
first_indexed | 2024-03-06T11:51:30Z |
format | Conference or Workshop Item |
id | UMPir8398 |
institution | Universiti Malaysia Pahang |
language | English |
last_indexed | 2024-03-06T11:51:30Z |
publishDate | 2014 |
record_format | dspace |
spelling | UMPir83982018-01-16T02:22:22Z 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.. (Published) http://dx.doi.org/10.1109/MySec.2014.6985993 |
spellingShingle | QA76 Computer software Rohaida, Romli Shahida, Sulaiman Kamal Z., Zamli Test Data Generation Framework for Automatic Programming Assessment |
title | 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_short | Test Data Generation Framework for Automatic Programming Assessment |
title_sort | test data generation framework for automatic programming assessment |
topic | QA76 Computer software |
url | http://umpir.ump.edu.my/id/eprint/8398/1/Test_Data_Generation_Framework_for_Automatic_Programming_Assessment.pdf |
work_keys_str_mv | AT rohaidaromli testdatagenerationframeworkforautomaticprogrammingassessment AT shahidasulaiman testdatagenerationframeworkforautomaticprogrammingassessment AT kamalzzamli testdatagenerationframeworkforautomaticprogrammingassessment |