Academic Journals Database
Disseminating quality controlled scientific knowledge

Optimal Testing Resource Allocation Problems in Software System using Heuristic Algorithm

Author(s): M. Pavithra

Journal: Bonfring International Journal of Software Engineering and Soft Computing
ISSN 2250-1045

Volume: 02;
Issue: 04;
Start page: 01;
Date: 2012;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Particle Swarm Optimization algorithm | Parallel Series Modular Software System | Software Engineering | Software Reliability | Software Testing | Star-Structure Modular Software System

Software Testing is the process of implementing a program with the definite intent of finding errors former to delivery to the end user. Due to the increase and the complexity of the software system the problem is how to optimally assign the narrow testing resource during the testing phase has become more important and difficult. Traditional Optimal Testing Resource Allocation Problems (OTRAPs) includesin afinest allocation of a limited amount of testing resources with respect to reliability, cost etc. To solve the OTRAPs with Multi-Objective Algorithms called as Hierarchy Particle Swarm Optimization Algorithm (HPSO) is suggested. Especially, organize OTRAPs for two types of multi-objective problems. First one is reliability of the system and the testing cost of the system as two objectives. Second, the total testing resource consumed is also taken into account as the third objective, sensitivity is the fourth objective. The existing algorithms require more time and the both the evolutionary and the NSGA algorithm having more drawbacks. To overcome the drawbacks of the existing algorithm, the proposed HPSO algorithm which is used in this paper, satisfy allthe four objective of this research. Experimental results show that the proposed algorithm is more efficient than the existing algorithms.
RPA Switzerland

RPA Switzerland

Robotic process automation


Tango Jona
Tangokurs Rapperswil-Jona