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Mohan Kumar, G.
- Imparting Integration of Quality Function Deployment and Value Engineering-Case Study
Abstract Views :174 |
PDF Views:2
Authors
Affiliations
1 Dept of Mechanical Engineering, Park College of Engineering and Technology, Coimbatore - 641 659, IN
2 Park College of Engineering and Technology, Coimbatore - 641 659, IN
3 Holy Cross College of Engineering, Tuticorin, IN
1 Dept of Mechanical Engineering, Park College of Engineering and Technology, Coimbatore - 641 659, IN
2 Park College of Engineering and Technology, Coimbatore - 641 659, IN
3 Holy Cross College of Engineering, Tuticorin, IN
Source
Software Engineering, Vol 3, No 12 (2011), Pagination: 545-550Abstract
The Integration of Value Engineering into the four stages of Quality Function Deployment would certainly enhance the visualization of decisions pertaining to a part (De-Twister assembly). A “De-Twister assembly” is one of the sub assemblies of Squeezer machine, was selected and the case study was carried out in the above concept. A detailed Value Engineering for De-Twister (43 subassemblies) parts was analyzed and integrated with Quality Function Deployment in order to improve the performance of the product with overall cost reduction in the de-twister subassembly. An attempt has been made in this paper to know the advantages of integration of Value Engineering with the four planning stages of Quality Function Deployment. This experience would be useful for the companies to continuously improve the product performance with cost effective based on customer requirements and to meet the challenges with the competitive firms in the global market.Keywords
QFD, Quality Function Deployment & Product Design, Series Integration of QFD & VE, Voice of Customer, Rating and Relationship, Value Engineering, Product Planning Matrix, Part Planning Matrix, Process Planning Matrix, Manufacturing Planning Matrix.- Automated Test Case from UML Diagram Using Data Mining Approach
Abstract Views :190 |
PDF Views:1
Authors
Affiliations
1 Sathyabama University, Chennai, IN
2 Park College of Engineering, Coimbatore, IN
1 Sathyabama University, Chennai, IN
2 Park College of Engineering, Coimbatore, IN
Source
Software Engineering, Vol 3, No 3 (2011), Pagination: 88-93Abstract
Software testing is an important part of software development life cycle. As part of automating testing process, automated test case generation is presented in this paper. Test case generation from design specifications has the advantage of generating test cases before software development cycle. In our approach, Evolutionary Genetic algorithm is used to generate all possible valid test cases for the software to be tested or developed. Data is obtained from UML design i.e., class diagram. A Novel method is proposed to form tree structure among class in design, based on their relationships. Depth First Searching (DFS) algorithm is used to generate test cases from the binary tree formed. All requirements of data mining concept implemented in very established way to produce optimal number test cases. A case study that is going to uses a simple, but extensively studied program is used to illustrate the approach.Keywords
Depth First Searching, Data Mining, Genetic Algorithm, Testing, Test Cases, and UML (Unified Modeling Language).- Automated Test Cases Generation from UML Class Diagram with Genetic Operator
Abstract Views :163 |
PDF Views:7
Authors
Affiliations
1 Sathyabama University, Chennai, IN
2 Park Engineering College, Coimbatore, IN
1 Sathyabama University, Chennai, IN
2 Park Engineering College, Coimbatore, IN
Source
Software Engineering, Vol 3, No 6 (2011), Pagination: 281-285Abstract
Software testing is an important phase that ensures the quality of the software. Where test cases are an important entity or criteria by which software is being evaluated. A test case is being generated by various approaches but by means of Modeling Languages attracts the recent researches and industrialists. This paper focus on test case generation by means of UML Class diagram. Novel method is proposed to form tree structure among class in design based on their relationships. From formed tree Genetic Two point Cross over is applied to obtain all possible new trees. Depth First Searching (DFS) algorithm is used to generate test cases from the binary tree formed. Problems in usage of certain techniques are identified. A case study that is going to uses a simple, but extensively studied program is used to illustrate our approach.Keywords
Software Testing, Test Cases, UML (Unified Modeling Language), Genetic Crossover Operator, DFS (Depth First Search) and Class Diagram.- Detecting Neglected Conditions in Software through Data Mining
Abstract Views :127 |
PDF Views:2
Authors
Affiliations
1 Sathyabama University, Chennai, IN
2 Park Engineering College, Coimbatore, IN
1 Sathyabama University, Chennai, IN
2 Park Engineering College, Coimbatore, IN