Comparison between Object-Oriented Software Testing and Traditional Software Testing

2013 ◽  
Vol 411-414 ◽  
pp. 497-500
Author(s):  
Li Zhang ◽  
Xiao Dong Mu ◽  
Hai Jing Zhang ◽  
Wei Song
Keyword(s):  
Software Testing ◽  
Computer Software ◽  
Object Oriented ◽  
Model Testing ◽  
Testing Model ◽  
Object Oriented Technology ◽  
Testing Techniques

Object-oriented technology has been widely used in the area of computer software. However, traditional software testing techniques cannot perform effectively on object-oriented software. The differences between object-oriented software testing and traditional software testing are compared and elaborated from three aspects: testing model, testing software and testing cases.

scholarly journals Extension of Object-Oriented Software Testing Techniques to Agent Oriented Software Testing.

2008 ◽  
Vol 7 (8) ◽  
pp. 155 ◽  
Author(s):  
Praveen Ranjan Srivastava ◽  
V. Karthik Anand ◽  
Mayuri Rastogi ◽  
Vikrant Yadav ◽  
G. Raghurama
Keyword(s):  
Software Testing ◽  
Object Oriented ◽  
Testing Techniques

scholarly journals Evaluation Model of Parking Equipment Planning and Design Based on Object-Oriented Technology

2021 ◽  
Vol 11 (9) ◽  
pp. 4263
Author(s):  
Minna Ni ◽  
Zhihong Sun ◽  
Yuhan Luo ◽  
Qi Yi ◽  
Yiqing Zhang ◽  
...  
Keyword(s):  
Evaluation Model ◽  
Ground Plane ◽  
Object Oriented ◽  
Surface Information ◽  
Planning And Design ◽  
Object Oriented Technology ◽  
Important Means ◽  
Urban Parking ◽  
Planning And Construction

Stereo parking equipment has become an important means to solve the problem of parking difficulties, so it is necessary to study the planning of stereo parking equipment. This paper proposes an evaluation model for parking equipment planning and design, and verifies the feasibility of the model through an example. First, obtain the surface information of the planned area through object-oriented technology, and then complete the design layout of the area that can accommodate the most parking spaces according to the plan information map of the study area. Next, calculate the number of parking spaces required for each building in the area, and the number of available parking spaces within the maximum acceptable time for each building. Finally, compare the two to design the number and location of parking equipment. This method can quickly and accurately obtain the ground plane information map of the study area, while ensuring the capacity of parking spaces to meet the needs of users, it also improves the rationality and suitability of the planning and layout of stereo parking equipment, which can effectively guide the planning and construction of urban parking equipment.

Implementation of Heuristic Technique and Genetic Algorithms in Shikaku Puzzle Problem

2011 ◽  
Vol 58-60 ◽  
pp. 1860-1865 ◽  
Author(s):  
Samuel Lukas ◽  
Arnold Aribowo ◽  
Steven Christian Halim
Keyword(s):  
Genetic Algorithms ◽  
Software Testing ◽  
Computer Software ◽  
Simple Rule ◽  
Rectangular Grid ◽  
Heuristic Technique ◽  
Logic Puzzle

Shikaku is a logic puzzle published by Nikoli at 2005. Shikaku has a very simple rule. This puzzle is played on a rectangular grid. Some of the squares in the grid are numbered. The main objective is to create partitions inside the grid. Each partition must have exactly one number, and the number represents the area of the partition. Then the partition’s shape must be a rectangular or a square. The aim of this research is discussing how can computer software be able to solve the Shikaku problem by implementing heuristic technique and genetics algorithms. Initially the Shikaku problem is inputted into the system. Firstly, the software will solve the problem by applying heuristics methods with some logic rules. All logic rules are created and implemented into the software so that the software can minimize the partitions possibilities to the problem. If this heuristics method still can not solve the problem then genetic algorithms will be executed to find the solution. This paper elaborates from how the problem be modelled and also be implemented until software testing to ensure that the solver worked as expected. The implementation consists of a virtual puzzle board with three different size, genetic algorithms parameters, and ability to create, save, load, and solve puzzle. Software testing is conducted to find how fast the system can solve the problem.

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