Software reliability analysis models
IBM Journal of Research and Development
Dynamic resource-allocation for software-module testing
Journal of Systems and Software
A Flexible Modelling Approach for Software Reliability Growth
Software Reliability Modelling and Identification
Optimal testing-resource allocation with genetic algorithm for modular software systems
Journal of Systems and Software
Optimal Allocation of Testing-Resource Considering Cost, Reliability, and Testing-Effort
PRDC '04 Proceedings of the 10th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC'04)
On allocation of resources during testing phase of a modular software
International Journal of Systems Science
Optimal testing resource allocation models for modular software
RAMS '06 Proceedings of the RAMS '06. Annual Reliability and Maintainability Symposium, 2006.
Optimal allocation policies for testing-resource based on a software reliability growth model
Mathematical and Computer Modelling: An International Journal
Assessing reliability of modular software
Operations Research Letters
Software testing-resource allocation with operational profile
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Reducing test effort: A systematic mapping study on existing approaches
Information and Software Technology
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Software reliability is one of the most important quality attributes of commercial software. During software testing, software reliability growth models (SRGMs) are commonly used to describe the phenomenon of failure occurrence and/or fault removal which consequently enhancements software reliability. Large software systems are developed by integrating a number of relatively small and independent modules, which are tested independently during module testing phase. The amount of testing resource available is limited which is desired to be consumed judiciously so as to optimize the testing process. In this paper we formulate a resource allocation problem of minimizing the cost of software testing under available amount of testing resource, given a reliability constraint. We use a flexible SRGM considering testing effort which, depending upon the values of parameters, can describe either exponential or S-shaped failure pattern of software modules. A systematic and sequential Algorithm is proposed to solve the optimization problem formulated. Numerical examples are given to illustrate the formulation and solution procedures. Sensitivity analysis is performed to examine the behavior of some parameters of SRGM with most significant influence.