Effectively Testing for a Software Product Line with OTM3 Organizational Testing Management Maturity Model

Author(s):  
Etiene Lamas ◽  
Luiz Alberto Vieira Dias ◽  
Adilson Marques da Cunha
Author(s):  
Etiene Lamas ◽  
Érica Ferreira ◽  
Marcos Ribeiro do Nascimento ◽  
Luiz Alberto Vieira Dias ◽  
Fabio Fagundes Silveira

2014 ◽  
Vol 536-537 ◽  
pp. 673-677
Author(s):  
Jian Jie Ding

Software product line has been a key area of concern in software industry due to its advantage on the productivity and quality of software products. At same time, both software organizations and the academic community are aware that the software measurement is necessary in software product line. However, there are many problems: what is difference in software product line measurement, how about their measurement process in the end, etc. It addresses this problem by creating a specialized Software Product Line Measurement Process Capability Maturity Model (SPLMP-CMM). SPLMP-CMM including five maturity levels: initial, tentatively, defined, compesive and optimized. The model focus on the basic practice areas which should be implementing of every level, it helps the originations to assess their measurement process and provides guidance for them to a higher maturity level.


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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