Needed resources for software module test, using the hyper-geometric software reliability growth model

Author

Hou, Rong-Huei ; Kuo, Sy-Yen ; Chang, Yi-Ping

Author_Institution

Nat. Taiwan Univ., Taipei, Taiwan

Volume

45

Issue

4

fYear

1996

fDate

12/1/1996 12:00:00 AM

Firstpage

541

Lastpage

549

Abstract

Considerable testing resources are required during software module testing. This paper, based on the `hyper-geometric distribution software reliability growth model´ (HGDM) investigates two optimal resource allocation (OPT/RA) problems in software module testing: (1) minimization of the number of software faults (NSF) still undetected in the system after testing, given a fixed amount of testing resources; and (2) minimization of the total amount of testing resources required, given the NSF still undetected in the system after testing. Based on the concepts of average allocation and proportional allocation, two simple allocation methods are introduced. Experimental results show that the OPT/RA method can improve the quality and reliability of the software system much more than the simple allocation methods. Therefore, the OPT/RA method is very efficient for solving the `testing resource allocation´ problem

Keywords

optimisation; program testing; resource allocation; software quality; software reliability; average allocation; hyper-geometric software reliability growth model; optimal resource allocation; proportional allocation; software fault number; software module testing; software quality; testing resource requirements; Fault detection; Lagrangian functions; Optimized production technology; Project management; Resource management; Software development management; Software reliability; Software systems; Software testing; System testing;

fLanguage

English

Journal_Title

Reliability, IEEE Transactions on

Publisher

ieee

ISSN

0018-9529

Type

jour

DOI

10.1109/24.556577

Filename

556577