software reliability data set
Burr type III Software Reliability Growth Model with Interval Domain Data
... actual software failure data ...domain data. Parameter estimation is given primary importance for software reliability ...A set of failure data is usually collected in one ...
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A Survey of Software Reliability Models
... source software reliability model was conducted by Ying and Joseph ...collected data from eight active open source projects from ...and reliability analysis was done based on the bug arrival ...
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Software Reliability Growth Models Incorporating Burr Type III Test-Effort and Cost-reliability Analysis
... during software testing phase have been described by Burr Type-III ...proposed software reliability growth model fits the real software data set fairly well and in could give us ...
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Abstract — In order to assess software reliability, many software reliability growth models
... a set of simultaneous equations and is better in deriving confidence ...fitting data from small to medium sample sizes (Wood, 1996), while MLE is considered to be better statistical estimator for large ...
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Software Evaluation for Developing Software Reliability and Metrics
... This study will test fault severity. Faults are either high severity or low severity. For each Metric M, the hypotheses in this study were Hypotheses Metric (H-M). H-M mean is that a class with a high M value is more ...
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Software Quality Estimation using Machine Learning: Case based Reasoning Technique
... of software engineering for last few ...of software quality estimation is to identify error prone tasks as the cost can be minimized with advance knowledge about the errors and this early treatment of error ...
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Bayesian Predictive Analyses for Logarithmic Non Homogeneous Poisson Process in Software Reliability
... their reliability as failures are prone to happen during their ...faults, reliability of software needs to be studied during devel- opment of software so as to come up with reliable ...
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Pipeline Collector: Gathering performance data for distributed astronomical pipelines
... astronomical data processing requires complex software pipelines to process ever growing ...performance data. Based on this data, we make well informed recommendations on future hardware and ...
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Analogy-Based Software Quality Prediction with Project Feature Weights
... today's software quality estimation models are built on using data from projects of single ...such data has well known benefits such as ease of understanding and controlling of collected ...different ...
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Software Reliability-Most Important Aspect of Software Quality
... obtain reliability measures for software systems are based on the Markovian models and they rely on the assumption on exponential failure time ...model reliability growth of components which cannot ...
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Literature Review On Software Reliability and Software Quality Prediction
... It is incorporated three different regression tree algorithms CART-LS, S-PLUS, and CART- LAD into a single case study to show their effectiveness in finding the number of faults predicted using them. A study conducted ...
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Maximized Composite Functions Based Optimized Software Reliability Growth Function For Reliability Prediction
... different software reliability models that depend upon a numbers of confusing characteristics along with equal or unequal ...of software reliability prediction [7]. Software ...
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International Journal of Computer Science and Mobile Computing
... the software failures or the defects and on which the analytical decision will be drawn using fuzzy ...is software execution time, whereas output of the system is predicted as number of ...of ...
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Optimal Software Release Time Policy using Goal Programming
... the software product and (b) Cumulative execution time that occurs during the test phase of development and the post delivery ...a software reliability model from an empirical viewpoint ...
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ACCURACY AND CONSISTENCY OF AUTOMATED BRAIN TUMOR SEGMENTATION IN GRAY MATTER MAGNETIC RESONANCE IMAGES
... (‘‘IBSR data set’’),(ii) twenty simulated T1-weighted MRI images and corresponding discrete anatomical models provided by the Simu lated Bra ...IBSR data set consists of high -resolution, ...
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On generalized littlewood verrall model for software reliability with applications
... Bayesian approach may give more accurate prediction results than the maximum likelihood estimators. One of the earliest and very famous Bayesian reliability models is Littlewood and Verrall (L-V) model which was ...
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Refining Software Reliability through Software Engineering Methodologies
... valuable data sets are so almost, such purpose of pose is to supply intensely controlled, undivided data or software artifacts having experienced characteristics for handle in evaluating the ...
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Participating the Exchange Programs and Overseas Internship Survey in Taiwan (May 2017)
... a set of matrix ...the software usually required setups that specify the model in terms of these ...the software with a series of matrices for the different sets of parameters, such as factor ...
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A. Data Set
... of data mining consists of three stages: (i) the initial exploration, (ii) model building or pattern identification and (iii) deployment ...with data preparation which may involve cleaning data, ...
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Software Reliability Estimation Based on Cubic Splines
... In this paper, we have studied an approach of reliability prediction by Cubic spline networks. Since cubic spline interpolation assumes a random distribution for the data, our model take into account the ...
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