Aspects-Classes Integration Testing Strategy: An Incremental Approach

Author(s):  
Philippe Massicotte ◽  
Linda Badri ◽  
Mourad Badri
2008 ◽  
Vol 11 (1) ◽  
Author(s):  
Gladys Machado Pereira ◽  
Arilo Cláudio Dias Neto ◽  
Guilherme Horta Travassos

Dependency cycles among components (classes) represent a practical challenge when identifying the class integration order in object-oriented software testing. Classical approaches, such as “top-down” or “bottom-up” integration (or their combination) become less useful due to their acyclic characteristics. Some OO integration testing strategies explore the principle of breaking these dependency cycles, but broken dependencies imply that the target class will have to be stubbed when integrating and testing the source class, which increases the testing effort. This paper describes an integration testing strategy that guides software engineers to identify the class integration order with the minimum number of implemented stubs. This strategy can be directly applied to high level OO design (UML class) diagrams allowing the reduction of extra construction efforts related to additional classes needed in other strategies. The results from experimental studies have indicated its feasibility and effectiveness. The use of such integration testing strategy can be supported by a case tool, also described in this paper.


2014 ◽  
Vol 977 ◽  
pp. 454-459
Author(s):  
Jian Shu ◽  
Chun Zheng ◽  
Feng Yu Yang ◽  
Wei Zheng

IMA (Integrated Modular Avionics) system has been widely adopted by a new generation of aircraft. It with high complexity and integration will bring a new challenge in software testing. In this paper, it states what IMA is and how IMA system works. Because of isolation between partitions, the inter-partition communication is required to exchange information between the partitions. It also presents an integrated testing strategy based on UML sequence diagram according to the inter-partition integration of IMA. The method of test sequences generation is discussed emphatically. Finally, a case study is presented to testify the feasibility of our approach.


1986 ◽  
Vol 1 (3) ◽  
pp. 136 ◽  
Author(s):  
A.R. Riddiough
Keyword(s):  

2020 ◽  
Author(s):  
Manxi Wu ◽  
Devendra Shelar ◽  
Raja Gopalakrishnan ◽  
Saurabh Amin

2019 ◽  
Vol 45 (9) ◽  
pp. 1183-1198
Author(s):  
Gaurav S. Chauhan ◽  
Pradip Banerjee

Purpose Recent papers on target capital structure show that debt ratio seems to vary widely in space and time, implying that the functional specifications of target debt ratios are of little empirical use. Further, target behavior cannot be adjudged correctly using debt ratios, as they could revert due to mechanical reasons. The purpose of this paper is to develop an alternative testing strategy to test the target capital structure. Design/methodology/approach The authors make use of a major “shock” to the debt ratios as an event and think of a subsequent reversion as a movement toward a mean or target debt ratio. By doing this, the authors no longer need to identify target debt ratios as a function of firm-specific variables or any other rigid functional form. Findings Similar to the broad empirical evidence in developed economies, there is no perceptible and systematic mean reversion by Indian firms. However, unlike developed countries, proportionate usage of debt to finance firms’ marginal financing deficits is extensive; equity is used rather sparingly. Research limitations/implications The trade-off theory could be convincingly refuted at least for the emerging market of India. The paper here stimulated further research on finding reasons for specific financing behavior of emerging market firms. Practical implications The results show that the firms’ financing choices are not only depending on their own firm’s specific variables but also on the financial markets in which they operate. Originality/value This study attempts to assess mean reversion in debt ratios in a unique but reassuring manner. The results are confirmed by extensive calibration of the testing strategy using simulated data sets.


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