Statistical Methodology for Software Reliability with Environmental Factors

2020 ◽  
pp. 227-259
Author(s):  
R. Jeromia Muthuraj ◽  
A. Mohamed Ashik ◽  
A. Loganathan
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Kwang Yoon Song ◽  
In Hong Chang ◽  
Hoang Pham

Software should be a product that can be used easily and accurately by the user and should be improved quickly and accurately when problems arise. In many software development projects, software requirements are frequently modified during the design or development phase, which tests the development of specific designers’ or developers’ capabilities. Software development environmental factors (SDEFs), such as differences in mutual work recognition among users, developers, and testers or knowledge differences, can hinder communication, which may lead to faulty development owing to erroneous job definition. Because the exact size and scope of the software cannot be calculated, the risk of excessive requirements, such as schedule, cost, and manpower, may increase. This study aims to investigate 32 SDEFs to examine the influence of factors affecting the reliability of software developed by Korean companies to identify factors with high influence and compare differences with previous studies. Moreover, we found whether any new SDEFs from the top 10 rankings only affected Korean companies, and also US companies included in previous studies. A factor analysis revealed several potential factors to identify the mutually independent characteristics of the factors. Through statistical analysis methods, the difference between the group means and the impact on improving the software reliability were found in Korean companies. These findings can provide useful benefits to software developers and managers working in countries with different or similar cultures and help increase working efficiency, i.e., work versus time investment and software reliability improvement.


2020 ◽  
Vol 28 (4) ◽  
pp. 1841-1858
Author(s):  
Alper ÖZCAN ◽  
Çağatay ÇATAL ◽  
Cengiz TOGAY ◽  
Bedir TEKİNERDOĞAN ◽  
Emrah DÖNMEZ

2019 ◽  
Vol 42 ◽  
Author(s):  
Nicole M. Baran

AbstractReductionist thinking in neuroscience is manifest in the widespread use of animal models of neuropsychiatric disorders. Broader investigations of diverse behaviors in non-model organisms and longer-term study of the mechanisms of plasticity will yield fundamental insights into the neurobiological, developmental, genetic, and environmental factors contributing to the “massively multifactorial system networks” which go awry in mental disorders.


2020 ◽  
Vol 134 (18) ◽  
pp. 2447-2451
Author(s):  
Anissa Viveiros ◽  
Gavin Y. Oudit

Abstract The global prevalence of obesity has been rising at an alarming rate, accompanied by an increase in both childhood and maternal obesity. The concept of metabolic programming is highly topical, and in this context, describes a predisposition of offspring of obese mothers to the development of obesity independent of environmental factors. Research published in this issue of Clinical Science conducted by Litzenburger and colleagues (Clin. Sci. (Lond.) (2020) 134, 921–939) have identified sex-dependent differences in metabolic programming and identify putative signaling pathways involved in the differential phenotype of adipose tissue between males and females. Delineating the distinction between metabolically healthy and unhealthy obesity is a topic of emerging interest, and the precise nature of adipocytes are key to pathogenesis, independent of adipose tissue volume.


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