Journal Article10.1016/J.CIE.2009.05.001
Optimal testing resource allocation during module testing considering cost, testing effort and reliability
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TL;DR: This paper uses 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, and proposes a systematic and sequential Algorithm to solve the optimization problem formulated.
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About: This article is published in Computers & Industrial Engineering. The article was published on 01 Oct 2009. The article focuses on the topics: Software reliability testing & Non-regression testing.
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Citations
Reducing test effort: A systematic mapping study on existing approaches
TL;DR: An overview of existing approaches that are able to reduce testing effort is presented both for researchers and practitioners in order to identify, in the one hand, future research directions and, on the other hand, potential for improvements in practical environments.
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Incorporating S-shaped testing-effort functions into NHPP software reliability model with imperfect debugging
Qiu Ying Li,Haifeng Li,Minyan Lu +2 more
TL;DR: The experimental results show that the proposed IS-TEF is more suitable and flexible for describing the consumption of TE than the previous TEFs and incorporating TEFs into the inflected S-shaped NHPP SRGM may be more effective and appropriate compared with the exponential-type and the delayed S- shaped NHPPSRGMs.
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A Study of When to Release a Software Product from the Perspective of Software Reliability Models
TL;DR: This paper helps answer the question of when to stop testing a software product by presenting the perspectives from a study of cost models and investigates various software release policies, for example, policies based on the dual constraints of cost and reliability.
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Multiobjective Testing Resource Allocation Under Uncertainty
Roberto Pietrantuono,Pasqualina Potena,Antonio Pecchia,Daniel Rodriguez,Stefano Russo,Luis Fernandez-Sanz +5 more
TL;DR: Debug awareness relaxes the traditional assumptions of SRGMs—in particular the very unrealistic immediate repair of detected faults—and incorporates the bug assignment activity, and robustness provides solutions valid in spite of a degree of uncertainty on input parameters.
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Modeling of software fault detection and correction processes with fault dependency
Rui Peng,Qingqing Zhai +1 more
TL;DR: Several paired models considering different assumptions for debugging lags are proposed for the combined FDP and FCP incorporating fault dependency and the optimal software release policy under this framework is studied.
References
Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures
Amrit L. Goel,K. Okumoto +1 more
TL;DR: The failure process is analyzed to develop a suitable meanvalue function for the NHPP to create a stochastic model for the software failure phenomenon based on a nonhomogeneous Poisson process.
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S-Shaped Reliability Growth Modeling for Software Error Detection
TL;DR: This paper investigates a stochastic model for a software error detection process in which the growth curve of the number of detected software errors for the observed data is S-shaped.
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Software Reliability Growth Models with Testing-Effort
TL;DR: The proposed models will enable us to evaluate software reliability more realistically and consider the relationship between the software reliability growth and the effect of testing-effort.
291
Optimal allocation and control problems for software-testing resources
Hiroshi Ohtera,Shigeru Yamada +1 more
TL;DR: A software reliability growth model based on a nonhomogeneous Poisson process is introduced that describes the time-dependent behavior of software errors detected and testing-resource expenditures spent during the testing.
112
Assessing reliability of modular software
TL;DR: A stochastic model is developed and the optimal value for the individual module failure rate is derived, under the assumptions that a certain cost function is minimized and that the entire system is guaranteed to have an overall failure rate of a prescribed level.
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