Document Type

Conference Proceeding

Publisher

IEEE Computer Society

Faculty

Computing, Health and Science

School

Computer and Security Science

RAS ID

9347

Comments

This article was originally published as: Farooq, U. , & Lam, C. P. (2009). A Max-Min Multiobjective Technique to Optimize Model Based Test Suite. Proceedings of International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. (pp. 569-574). Daegu, Korea. IEEE Computer Society. Original article available here

Abstract

Generally, quality software production seeks timely delivery with higher productivity at lower cost. Redundancy in a test suite raises the execution cost and wastes scarce project resources. In model-based testing, the testing process starts with earlier software developmental phases and enables fault detection in earlier phases. The redundancy in the test suites generated from models can be detected earlier as well and removed prior to its execution. The paper presents a novel max-min multiobjective technique incorporated into a test suite optimization framework to find a better trade-off between the intrinsically conflicting goals. For illustration two objectives i.e. coverage and size of a test suite were used however it can be extended to more objectives. The study is associated with model based testing and reports the results of the empirical analysis on four UML based synthetic as well as industrial Activity Diagram models.

DOI

10.1109/SNPD.2009.33

 
COinS
 

Link to publisher version (DOI)

10.1109/SNPD.2009.33