عنوان المقالة:G2Way A Backtracking Strategy for Pairwise Test Data Generation G2Way A Backtracking Strategy for Pairwise Test Data Generation
ا.د. محمد عصام يونس | Mohammed I. Younis | 14110
نوع النشر
مؤتمر علمي
المؤلفون بالعربي
Mohammad F.J. Klaib ; Kamal Z. Zamli ; Nor Ashidi M. Isa ; Mohammed I. Younis ; Rusli Abdullah
المؤلفون بالإنجليزي
Mohammad F.J. Klaib ; Kamal Z. Zamli ; Nor Ashidi M. Isa ; Mohammed I. Younis ; Rusli Abdullah
الملخص العربي
Our continuous dependencies on software (i.e. to assist as well as facilitate our daily chores) often raise dependability issue particularly when software is being employed harsh and life threatening or (safety) critical applications. Here, rigorous software testing becomes immensely important. Many combinations of possible input parameters, hardware/software environments, and system conditions need to be tested and verified against for conformance. Due to resource constraints as well as time and costing factors, considering all exhaustive test possibilities would be impossible (i.e. due to combinatorial explosion problem). Earlier work suggests that pairwise sampling strategy (i.e. based on two-way parameter interaction) can be effective. Building and complementing earlier work, this paper discusses an efficient pairwise test data generation strategy, called G2Way. In doing so, this paper demonstrates the correctness of G2Way as well as compares its effectiveness against existing strategies including AETG and its variations, IPO, SA, GA, ACA, and All Pairs. Empirical evidences demonstrate that G2Way, in some cases, outperformed other strategies in terms of the number of generated test data within reasonable execution time.
الملخص الانجليزي
Our continuous dependencies on software (i.e. to assist as well as facilitate our daily chores) often raise dependability issue particularly when software is being employed harsh and life threatening or (safety) critical applications. Here, rigorous software testing becomes immensely important. Many combinations of possible input parameters, hardware/software environments, and system conditions need to be tested and verified against for conformance. Due to resource constraints as well as time and costing factors, considering all exhaustive test possibilities would be impossible (i.e. due to combinatorial explosion problem). Earlier work suggests that pairwise sampling strategy (i.e. based on two-way parameter interaction) can be effective. Building and complementing earlier work, this paper discusses an efficient pairwise test data generation strategy, called G2Way. In doing so, this paper demonstrates the correctness of G2Way as well as compares its effectiveness against existing strategies including AETG and its variations, IPO, SA, GA, ACA, and All Pairs. Empirical evidences demonstrate that G2Way, in some cases, outperformed other strategies in terms of the number of generated test data within reasonable execution time.
تاريخ النشر
22/12/2008
الناشر
2008 15th Asia-Pacific Software Engineering Conference
رقم المجلد
رقم العدد
رابط DOI
10.1109/APSEC.2008.49
رابط الملف
تحميل (491 مرات التحميل)
رابط خارجي
https://ieeexplore.ieee.org/document/4724579/
الكلمات المفتاحية
pairwise testing , combinatorial software testing
رجوع