eprintid: 2636
rev_number: 6
eprint_status: archive
userid: 272
dir: disk0/00/00/26/36
datestamp: 2017-11-16 04:29:04
lastmod: 2017-11-16 04:29:04
status_changed: 2017-11-16 04:29:04
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Duc Anh
creators_name: Pham, Ngoc Hung
creators_id: nguyenducanh@vnu.edu.vn
creators_id: hungpn@vnu.edu.vn
title: A Test Data Generation Method for C/C++ Projects
ispublished: inpress
subjects: IT
divisions: fac_fit
abstract: This research proposes an automated test data generation method for C/C++ projects to generate the lower number of test data while gaining higher code coverage in comparison with KLEE, CAUT, PathCrawler, and CREST. In order to do that, the proposed method contributes an algorithm named loop depth frst search by combining both static testing and concolic testing together. Besides, the paper also provides an improvement symbolic execution for avoiding the initial test data problem in the concolic testing. Currently, a tool supporting the proposed method has been developed and applied to test on different C/C++ projects in several software companies. The experimental results show the higher coverage with the lower number of test data compared with the existing methods. The experimental results display the effectiveness and practical usefulness of the proposed method for automated test data generation in practice
date: 2017
full_text_status: none
pres_type: paper
event_title: The Eighth International Symposium on Information and Communication Technology (SoICT 2017)
event_location: Nha Trang
event_dates: 7-8 December
event_type: conference
refereed: TRUE
citation:   Nguyen, Duc Anh and Pham, Ngoc Hung  (2017) A Test Data Generation Method for C/C++ Projects.  In: The Eighth International Symposium on Information and Communication Technology (SoICT 2017), 7-8 December, Nha Trang.    (In Press)