Transfer function modelling in software reliability

Chatterjee, Saikat; Nigam, Shobhit; Singh, Jayanti; Upadhyaya, Lakshmi N.

doi:10.1007/s00607-010-0128-6

Cited by 12 publications

(8 citation statements)

References 36 publications

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“…The RMSE 10,11,16,19,28 is frequently used measure of differences between values predicted and the original values defined as:…”

Section: Performance Analysis Of the Proposed Methodsmentioning

confidence: 99%

“…There are several models available in the literature to measure the reliability of general software. [1][2][3][4][5][6][7][8][9][10][11][12] Unfortunately, these models cannot be applied directly to the Web software due to its some specific nature. [13][14][15][16][17][18][19][20] Specific characteristics those make Web workload measurement different from the traditional software systems are given below:…”

Section: Introductionmentioning

confidence: 99%

“…Different probabilistic and data driven approaches have been used for software reliability analysis. [1][2][3][4][5][6][7][8][9][10][11][12] There are various models available in data driven approaches like time series, neural network, etc. The advantage of data driven approach is the models are assumption free and they can be used for modeling of any types of software failure data.…”

Section: Introductionmentioning

confidence: 99%

“…The advantage of data driven approach is the models are assumption free and they can be used for modeling of any types of software failure data. Using conventional and fuzzy time series approach, various researchers 10,11,23,24 have developed different types of time series based software reliability models like AR, MA, ARMA, ARIMA and transfer function based models. Among these AR, MA, ARMA, ARIMA are univariate models, i.e., the output is dependent on single input or independent variable.…”

Section: Introductionmentioning

confidence: 99%

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Transfer Function Modeling in Web Software Fault Prediction Implementing Pre-Whitening Technique

Chatterjee

Roy

2014

Int. J. Rel. Qual. Saf. Eng.

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The issue of Web reliability is gaining importance, as different Web-based applications are getting popularity with time. In order to enhance the reliability of a Web system, the Web administrator have to determine if there exists any relationship or correlation among different Web workload characteristics and the errors having an impact on the reliability of the Web system, so that he will be able to predict them accurately. It may not be possible to establish a generalized relationship among different Web workload characteristics. Hence, in this paper, we have performed principal component analysis (PCA) to check whether different Web workload characteristics, for particular Web software are correlated or not. Then, we have proposed a transfer function based model for Web software fault prediction. Also, we have used the pre-whitening technique to eliminate the noise present in the data for developing an efficient transfer function based model to predict the cumulative occurrences of different Web failures having an impact on the reliability of the Web software.

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“…The RMSE 10,11,16,19,28 is frequently used measure of differences between values predicted and the original values defined as:…”

Section: Performance Analysis Of the Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Transfer Function Modeling in Web Software Fault Prediction Implementing Pre-Whitening Technique

Chatterjee

Roy

2014

Int. J. Rel. Qual. Saf. Eng.

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“…Various software reliability growth models (SRGMs) are available in the literature to estimate the reliability of software (Pham 2006;Xie 1991;Lyu 1996;Kapur et al 2011;Musa et al 1987;Chatterjee et al 1997Chatterjee et al , 2011bChatterjee et al , 2012. These models are developed based on the failure data gathered during the testing phase of software.…”

Section: Introductionmentioning

confidence: 99%

A new fuzzy rule based algorithm for estimating software faults in early phase of development

Chatterjee

Maji

2015

Soft Comput

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Estimation of reliability and the number of faults present in software in its early development phase, i.e., requirement analysis or design phase is very beneficial for developing reliable software with optimal cost. Software reliability prediction in early phase of development is highly desirable to the stake holders, software developers, managers and end users. Since, the failure data are unavailable in early phase of software development, different reliability relevant software metrics and similar project data are used to develop models for early software fault prediction. The proposed model uses the linguistic values of software metrics in fuzzy inference system to predict the total number of faults present in software in its requirement analysis phase. Considering specific target reliability, weightage of each input software metrics and size of software, an algorithm has been proposed here for developing general fuzzy rule base. For model validation of the proposed model, 20 real software project data have been used here. The linguistic values from four software metrics related to requirement analysis phase have been considered as model inputs. The performance of the proposed model has been compared with two existing early software fault prediction models.

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Software reliability prediction: A survey

Oveisi

Moeini

Mirzaei

et al. 2022

Quality & Reliability Eng

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Softwares play an important role in controlling complex systems. Monitoring the proper functioning of the components of such systems is the principal role of softwares. Often, a petite fault in one of the subsystems may cause irreparable damages; therefore, it is of great importance to be able to predict software faults and estimate the reliability of softwares. In this survey, we present a classification of various methods proposed in the literature to predict software reliability. This study summarizes the results of more than 200 research papers in the field. We also discuss the challenges involved in prediction methods along with proposed partial solutions (i.e., Bayesian methods) to improve the accuracy of such predictions. Moreover, we review numerous evaluation measures introduced so far to assess the performance of prediction models, the datasets they are based on, and also the results they yield.

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Transfer function modelling in software reliability

Cited by 12 publications

References 36 publications

Transfer Function Modeling in Web Software Fault Prediction Implementing Pre-Whitening Technique

Transfer Function Modeling in Web Software Fault Prediction Implementing Pre-Whitening Technique

A new fuzzy rule based algorithm for estimating software faults in early phase of development

Software reliability prediction: A survey

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