A Comprehensive Evaluation for Burr-Type NHPP-based Software Reliability Models

Li, Siqiao; Okamura, Hiroyuki

doi:10.1109/dsa52907.2021.00010

Cited by 3 publications

(3 citation statements)

References 31 publications

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“…During the process of fault detection and repair, we can provide developers and users with information about software reliability by establishing the SRGM of the tested software to improve the quality of software products [32][33][34]. Since SRGM has established a mathematical correlation model between fault data and reliability, it is possible to calculate the metrics related to software quality, such as the total number of faults, failure efficiency, and reliability, by using SRGM and combining fault data information (such as fault number, fault type, and fault interval time) [35][36][37][38]. With the purpose of accurately predicting software reliability, it is particularly important to apply an SRGM that can describe the observed failure data well and make accurate predictions in the future [39,40].…”

Section: Srgm Modeling Of Software Testing Workflowmentioning

confidence: 99%

A Software Testing Workflow Analysis Tool Based on the ADCV Method

Mao,

Han,

et al. 2023

Electronics

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Based on two progressive aspects of the modeling problems in business process management (BPM), (1) in order to address the increasing complexity of user requirements on workflows underlying various BPM application scenarios, a more verifiable fundamental modeling method must be invented; (2) to address the diversification of software testing processes, more formalized advanced modeling technology must also be applied based on the fundamental modeling method. Aiming to address these modeling problems, this paper first proposes an ADCV (acquisition, decomposition, combination, and verification) method that runs through the core management links of four types of business processes (mining, decomposition, recombination, and verification) and then describes the compositional structure of the ADCV method and the design of corresponding algorithms. Then, the software testing workflow is managed and monitored using the method, and the corresponding analysis tool is implemented based on Petri nets. At the same time, the tool is applied to the case processing of the software testing workflow. Specifically, the workflow models are established successively through ADCV during the process of business iteration. Then, the analysis tool developed with the ADCV method, the model–view–controller (MVC) design pattern, and Java Swing technology are applied to instances of the software testing workflow to realize the modeling and management of the testing processes. Thus, the analysis tool can guarantee the accuracy of the parameter estimations of related software reliability growth models (SRGMs) and ultimately improve the quality of software products.

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Section: Srgm Modeling Of Software Testing Workflowmentioning

confidence: 99%

A Software Testing Workflow Analysis Tool Based on the ADCV Method

Mao,

Han,

et al. 2023

Electronics

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“…The cumulative number of faults detected at time is an independent incremental process, which obeys the NHPP with mean function m(t), and m(t) is proportional to the cumulative distribution function (CDF) with fault detection time [29,51]. Then, the basic relationship between the probability of n faults detected at time t and m(t) is as follows:…”

Section: An Analysis Of the G-o Nhpp Modelmentioning

confidence: 99%

“…It should be noted that the selection of g(x) should make F (x) monotonically increase from 0 to 1 within the specified time x. The Burr-type XII distribution is one of 12 Burrtype distributions derived by Burr and is widely used to describe the distribution of software fault detection time [51]. The Burr-type XII distribution is a two-parameter family of distributions on the positive real line, and its CDF is as follows:…”

Section: An Analysis Of the Burr-type XII Nhpp-based Modelmentioning

confidence: 99%

Standardization Workflow Technology of Software Testing Processes and its Application to SRGM on RSA Timing Attack Tasks

Han

Zhang

et al. 2022

IEEE Access

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Due to changing software requirements and increasing system complexity, which put forward new challenges to the related testing processes to ensure software trustworthiness. Software testing is an important means to improve software quality, and standardized software testing process has become an effective measure to ensure software testing quality. In order to solve the problem of software quality decline caused by non-standard behaviors in software testing processes, this paper proposes a standardization workflow technology to construct the management system of software testing processes, and applies the workflow management system to the software testing of RSA timing attack tasks. For the numerical experimental setup, two software fault detection time-domain datasets are considered, i.e., datasets generated from the RSA timing attack program in functional testing processes and workflow verification system used to manage the RSA timing attack processes in non-functional testing processes. Then, software reliability is evaluated by employing multiple heterogeneous software reliability growth models (SRGMs) with corresponding assumed conditions, parameter information and reliability prediction methods. Furthermore, we compare the fitting power and predictive performance of multiple SRGMs in terms of the model evaluation criteria, which helps testers select a better SRGM from the model evaluation results for reliability analysis. The experimental results show that the proposed standardization workflow technology can reasonably regulate the software testing processes, making the fault data input into SRGMs more reliable and reliability analysis results more credible.INDEX TERMS Software testing, standardization workflow technology, workflow management system, RSA timing attack tasks, software reliability growth model.

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Burr-type NHPP-based software reliability models and their applications with two type of fault count data

Okamura

2022

Journal of Systems and Software

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A Comprehensive Evaluation for Burr-Type NHPP-based Software Reliability Models

Cited by 3 publications

References 31 publications

A Software Testing Workflow Analysis Tool Based on the ADCV Method

A Software Testing Workflow Analysis Tool Based on the ADCV Method

Standardization Workflow Technology of Software Testing Processes and its Application to SRGM on RSA Timing Attack Tasks

Burr-type NHPP-based software reliability models and their applications with two type of fault count data

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