Software Reusability Development through NFL Approach for Identifying Security Based Innerrelationships of Affecting Factors: A Recent Study

2021 ◽  
pp. 72-85
Author(s):  
T. Rajani Devi ◽  
B. Rama
Keyword(s):  
Affecting Factors ◽  
Software Reusability

scholarly journals Software reusability development through NFL approach for identifying security based inner relationships of affecting factors

2020 ◽  
Vol 10 (1) ◽  
pp. 333
Author(s):  
T. Rajani Devi ◽  
B. Rama
Keyword(s):  
Data Security ◽  
Risk Estimation ◽  
Security And Privacy ◽  
Security Risk ◽  
Affecting Factors ◽  
Software Developers ◽  
Reusable Components ◽  
Software Reusability ◽  
Level Data ◽  
Internal Relationships

<span lang="EN-US">In component based software reusability development process, the software developers have to choose the best components which are self adaptive future to overcome the functional errors, framework mismatches, violation of user level privacy issues and data leakage feasibilities. The software developers can build high quality software applications by taking the consideration of the reusable components which are more suitable to provide high level data security and privacy. This paper has proposing the neural based fuzzy framework based approach to estimate the reusable components which are directly and indirectly involve the security and privacy to improve the quality of the software system. This approach has considered the twenty effecting factors and fifty three attribute matrices. It has formed with three stages of execution scenarios. The first stage has executed with eleven effecting factors and eighteen attribute matrices for identification of supporting software reusability components, the second stage has executed with four effecting factors and thirty five attribute matrices for identification of sub-internal relationships in terms of security-privacy, and the third stage has executed with eight effecting factors and six attribute matrices for identification of sub of sub-internal relationships in terms of security risk estimation. This analytical finding proposes a fuzzy logic model to evaluate the most feasible effecting factors that influence the enterprise level data security-privacy practices at real time environment.</span>

Affecting Factors on Aggression of Alcoholic Inpatients in Psychiatric Hospitals

2007 ◽  
Vol 9 ◽  
pp. 47
Author(s):  
Won-Jun Cho ◽  
Key-Hyo Lee ◽  
Won-Joong Kim
Keyword(s):  
Psychiatric Hospitals ◽  
Affecting Factors

scholarly journals Financial Performance of Non-oil Manufacturing Companies Listed on the Libyan Stock Market (LSM): Mixed Methods Study

2019 ◽  
Vol 9 (4) ◽  
pp. 77
Author(s):  
Khalifa Mohamed Khalifa Omar
Keyword(s):  
Statistical Analysis ◽  
Stock Market ◽  
Financial Performance ◽  
Manufacturing Companies ◽  
Analysis Method ◽  
Affecting Factors ◽  
Structured Interviews ◽  
Turnover Ratio ◽  
Statistical Effect ◽  
Statistical Analysis Method

The major objective of this study is to assess the financial performance and identify the affecting factors in this performance of non-oil manufacturing companies from 1999 to 2008. The study sample consisted of all non-oil manufacturing companies' enlisted at Libyan stock market which count (8). The data collected was analyzed by using statistical analysis method such as descriptive statistics, correlation test, Multiple- regression, as well as semi-structured interviews method. The results regarding to the statistical analysis method (net working capital, inventory turnover ratio, selling and general administrative expenses ratio, and company size and company age), have a positive statistical effect on the financial performance(ROA), while the variables of (current ratio, quick ratio and account receivable turnover ratio), have a negative statistical effect on the financial performance (ROA). The results regarding to semi-structured interviews method, reveal that the respondents in the interviews were confirmed that the selected factors have a significant effect on financial performance (ROA). The researcher recommended that the selected companies must consider the listed decision on the Libyan stock market; even when their financial performance is good.

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