The comprehensive study on software reliability

Tariq, Iqra; Maqsood, Talal Bin; Hayat, Baber; Hameed, Khizar; Nasir, Mobashirah; Jahangir, Maham

doi:10.1109/icomet.2018.8346316

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…Many software reliability assessment methods based on the stochastic model have been proposed by several researchers [6][7][8]. Recently, it is difficult to assess the software reliability because there are various software development styles.…”

Section: Sectionmentioning

confidence: 99%

“…where m is the statistical degrees of freedom in objective variable of the regression equation. Then, we consider the regression equation of Equation (8). The explanatory variables are shown in Table 4.…”

Section: Multiple Regression Analysis With Application To Reliabilitymentioning

confidence: 99%

“…The explanatory variables are shown in Table 4. From Equation (8) and Table 4, the statistical degrees of freedom for the regression equation is 9 in the case of "Changed". In the case of "Changed", 90% upper and lower confidence limits for MTBF c are as follows:…”

Section: Multiple Regression Analysis With Application To Reliabilitymentioning

confidence: 99%

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Large Scale Fault Data Analysis and OSS Reliability Assessment Based on Quantification Method of the First Type

Tamura

Yamada

2020

MAKE

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Various big data sets are recorded on the server side of computer system. The big data are well defined as a volume, variety, and velocity (3V) model. The 3V model has been proposed by Gartner, Inc. as a first press release. 3V model means the volume, variety, and velocity in terms of data. The big data have 3V in well balance. Then, there are various categories in terms of the big data, e.g., sensor data, log data, customer data, financial data, weather data, picture data, movie data, and so on. In particular, the fault big data are well-known as the characteristic log data in software engineering. In this paper, we analyze the fault big data considering the unique features that arise from big data under the operation of open source software. In addition, we analyze actual data to show numerical examples of reliability assessment based on the results of multiple regression analysis well-known as the quantification method of the first type.

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Section: Sectionmentioning

confidence: 99%

Section: Multiple Regression Analysis With Application To Reliabilitymentioning

confidence: 99%