Volume 5 Number 6 (Jun. 2010)
Home > Archive > 2010 > Volume 5 Number 6 (Jun. 2010) >
JSW 2010 Vol.5(6): 644-653 ISSN: 1796-217X
doi: 10.4304/jsw.5.6.644-653

An Algorithm for Efficient Assertions-Based Test Data Generation

Ali M. Alakeel
College of Telecomm & Electronics, Computer Technology Department, Jeddah, Saudi Arabia

Abstract—Automated assertion-based test data generation has been shown to be a promising tool for generating test cases that reveal program faults. Because the number of assertions may be very large for complex programs, one of the main concerns to the applicability of assertion-based testing is the amount of search time required to explore a potentially large number of assertions. Since assertion-based test data generation is meant to be used after programs have been tested using regular testing methods, e.g. black-box and white box, it is expected that most faults have been removed previously, therefore, a large number of assertions will not be violated. If the number of unpromising assertions can be reduced, then the efficiency of assertion-based test data generation can be significantly improved. This paper presents an algorithm which uses data-dependency analysis among assertions in order to accumulate historical data about previously explored assertions which can then be utilized during future explorations. The results of a small experimental evaluation of this algorithm show that the algorithm may reduce the number of assertions to be explored, hence making assertion-based test data generation more efficient. This improvement my vary depending on the number and relationship among assertions found in each program. For example, in a program named MinMax2 with 5 assertions, there was no improvement while in another program named GCD with 24 assertions, there was more than 50% reduction in number of assertions to be explored.

Index Terms—automated software testing, test data generation, software testing, assertion-based testing, program assertions.


Cite: Ali M. Alakeel, "An Algorithm for Efficient Assertions-Based Test Data Generation," Journal of Software vol. 5, no. 6, pp. 644-653, 2010.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Sep 13, 2021 News!

    The papers published in Vol 16, No 6 have all received dois from Crossref    [Click]

  • Jan 28, 2021 News!

    [CFP] 2021 the annual meeting of JSW Editorial Board, ICCSM 2021, will be held in Rome, Italy, July 21-23, 2021   [Click]

  • Sep 13, 2021 News!

    Vol 16, No 6 has been published with online version     [Click]