A Software Development Cost Model Based on the Shape Parameter of Lomax Distribution

2016 ◽  
Vol 22 (11) ◽  
pp. 3314-3317
Author(s):  
Hee-Cheul Kim
Keyword(s):  
Software Development ◽  
Shape Parameter ◽  
Cost Model ◽  
Development Cost ◽  
Lomax Distribution ◽  
Model Based

scholarly journals Comparative Study on the Attributes Analysis of Software Development Cost Model Based on Exponential-type Lifetime Distribution

2021 ◽  
Vol 11 (10) ◽  
pp. 166-176
Author(s):  
Jin Yang Tae ◽  
Keyword(s):  
Software Development ◽  
Exponential Type ◽  
Failure Time ◽  
Cost Model ◽  
Distribution Model ◽  
Release Time ◽  
Development Cost ◽  
Lifetime Distributions ◽  
Testing Stage ◽  
The Cost

In this paper, the development cost attributes were newly analyzed by applying the Exponential–type lifetime distributions (Burr-Hatke-exponential, ExponentialBasic, Exponential-exponential, Inverse-exponential) widely utilized in the field of software lifetime testing and quality evaluation to the software development cost model. Also, to verify the attributes of the analyzed development cost, after analyzing the future reliability, the optimal cost model was presented. For this study, an analysis algorithm using software failure time data was proposed to solve the research solution, the maximum likelihood estimation (MLE) was applied to solve the parameter values, and the nonlinear equation was calculated using the binary method. Simulations show that if the cost of removing one flaw found during the test phase increases, the development cost increases, but the release time does not change. However, if the cost of flaws correction discovered by operators increased, both development costs and release times increased. Therefore, we must remove all possible flaws at the testing stage to eliminate failures. In conclusion, First, the Exponential-exponential distribution model showed the best performance among the proposed models because it had the lowest software development cost and the highest future reliability. Second, the software development cost attributes of the Exponential-type lifetime distributions were newly analyzed. Third, through this data, it was able to help software developers to analyze the most economical development cost

An evolutionary morphological approach for software development cost estimation

2012 ◽  
Vol 32 ◽  
pp. 285-291 ◽  
Author(s):  
Ricardo de A. Araújo ◽  
Adriano L.I. Oliveira ◽  
Sergio Soares ◽  
Silvio Meira
Keyword(s):  
Software Development ◽  
Cost Estimation ◽  
Development Cost ◽  
Morphological Approach

scholarly journals On the Accuracy of the Sine Power Lomax Model for Data Fitting

Modelling ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 78-104
Author(s):  
Vasili B. V. Nagarjuna ◽  
R. Vishnu Vardhan ◽  
Christophe Chesneau
Keyword(s):  
Statistical Model ◽  
Simulation Study ◽  
Statistical Models ◽  
Goodness Of Fit ◽  
Data Fitting ◽  
Applied Science ◽  
Survival Distribution ◽  
Lomax Distribution ◽  
Model Based

Every day, new data must be analysed as well as possible in all areas of applied science, which requires the development of attractive statistical models, that is to say adapted to the context, easy to use and efficient. In this article, we innovate in this direction by proposing a new statistical model based on the functionalities of the sinusoidal transformation and power Lomax distribution. We thus introduce a new three-parameter survival distribution called sine power Lomax distribution. In a first approach, we present it theoretically and provide some of its significant properties. Then the practicality, utility and flexibility of the sine power Lomax model are demonstrated through a comprehensive simulation study, and the analysis of nine real datasets mainly from medicine and engineering. Based on relevant goodness of fit criteria, it is shown that the sine power Lomax model has a better fit to some of the existing Lomax-like distributions.

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