Internal Software Quality Evaluation of Self-adaptive Systems Using Metrics, Patterns, and Smells

2021 ◽  
pp. 386-419
Author(s):  
Claudia Raibulet ◽  
Francesca Arcelli Fontana ◽  
Simone Carettoni
Keyword(s):  
Software Quality ◽  
Adaptive Systems ◽  
Quality Evaluation ◽  
Software Quality Evaluation ◽  
Self Adaptive

Software Quality Evaluation for Control System Based on Extension Theory

2014 ◽  
Vol 945-949 ◽  
pp. 3331-3335
Author(s):  
Xiao Ying Liu ◽  
Jian Zhang
Keyword(s):  
Control System ◽  
Software Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Mechanical Design ◽  
Engineering Analysis ◽  
Analysis Method ◽  
Practical Application ◽  
Software Quality Evaluation ◽  
Function Calculation

A software quality evaluation method for control system based on the extension engineering analysis method is proposed. The evaluating index system of software quality evaluation for control system was constructed. The matter elements models were constructed, and the goodness of mechanical design scheme was computed by using goodness evaluation method based on correlation function calculation. Then the pros or cons of system to be evaluated were determined by comparing the goodness value of each evaluation grade. Finally, the practical application showed that the evaluation method was scientific, clear, and effective and had good practicality.

Model for Software Quality Evaluation with Fuzzy Information

2016 ◽  
Vol 13 (10) ◽  
pp. 7394-7398
Author(s):  
Yi-Ding Zhao ◽  
Zhi-Min Li ◽  
Xi-Guang Zhang
Keyword(s):  
Decision Making ◽  
Relative Entropy ◽  
Software Quality ◽  
Quality Evaluation ◽  
Multiple Attribute Decision Making ◽  
Triangular Fuzzy Number ◽  
Ideal Solution ◽  
Software Quality Evaluation ◽  
Relative Closeness ◽  
Multiple Attribute

To study the problem of multiple attribute decision making in which the decision making information values are triangular fuzzy number, a relative entropy decision making method for software quality evaluation is proposed. Then, according to the concept of the relative entropy, the relative closeness degree is defined to determine the ranking order of all alternatives by calculating the relative entropy to both the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) simultaneously. At last, a numerical example for software quality evaluation is provided to illustrate the proposed method. The result shows the approach is simple, effective and easy to calculate.

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