scholarly journals Comparing Approaches for Quality Evaluation of Software Engineering Experiments: An Empirical Study on Software Product Line Experiments

2019 ◽  
Vol 15 (10) ◽  
pp. 1396-1429
Author(s):  
Viviane R. Furtado ◽  
Henrique Vignando ◽  
Victor Fran�a ◽  
Edson OliveiraJr
Author(s):  
Kattiana Constantino ◽  
Juliana Alves Pereira ◽  
Juliana Padilha ◽  
Priscilla Vasconcelos ◽  
Eduardo Figueiredo

2013 ◽  
Vol 765-767 ◽  
pp. 1324-1327 ◽  
Author(s):  
Jian Li Dong

With the research and development of software product line and component-based software engineering methodology, it has become key technology how to build component assembly environment and realize heterogeneous component assembly. Thus, a new industrialized product line based integrated software engineering environment (PL-ISEE) model is firstly proposed, and the heterogeneity problems of developed components are analyzed and discussed. For removing components heterogeneity and realizing heterogeneous components assembly, the wrapper wrapping component is studied further. These researches and ideas will play significant role in promoting the formations of component-based software engineering methodology and future industrialized software production technology.


2006 ◽  
Vol 13D (1) ◽  
pp. 51-60
Author(s):  
Shin-Young Park ◽  
Soo-Dong Kim

Author(s):  
Hitesh Yadav ◽  
Rita Chhikara ◽  
Charan Kumari

Background: Software Product Line is the group of multiple software systems which share the similar set of features with multiple variants. Feature model is used to capture and organize features used in different multiple organization. Objective: The objective of this research article is to obtain an optimized subset of features which are capable of providing high performance. Methods: In order to achieve the desired objective, two methods have been proposed. a) An improved objective function which is used to compute the contribution of each feature with weight based methodology. b) A hybrid model is employed to optimize the Software Product Line problem. Results: Feature sets varying in size from 100 to 1000 have been used to compute the performance of the Software Product Line. Conclusion: The results shows that proposed hybrid model outperforms the state of art metaheuristic algorithms.


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