scholarly journals Test Case Reduction Techniques - Survey

Author(s):  
Marwah Alian ◽  
Dima Suleiman ◽  
Adnan Shaout
Author(s):  
Sudhir Kumar Mohapatra ◽  
Srinivas Prasad

Software testing is one in all the vital stages of system development. In software development, developers continually depend upon testing to reveal bugs. Within the maintenance stage test suite size grow due to integration of new functionalities. Addition of latest technique force to make new test case which increase the cost of test suite. In regression testing new test case could also be added to the test suite throughout the entire testing process. These additions of test cases produce risk of presence of redundant test cases. Because of limitation of time and resource, reduction techniques should be accustomed determine and take away. Analysis shows that a set of the test case in a suit should satisfy all the test objectives that is named as representative set. Redundant test case increase the execution price of the test suite, in spite of NP-completeness of the problem there are few sensible reduction techniques are available. During this paper the previous GA primarily based technique proposed is improved to search out cost optimum representative set using ant colony optimization.


Author(s):  
Filippo Salmoiraghi ◽  
Francesco Ballarin ◽  
Luca Heltai ◽  
Gianluigi Rozza

We provide a new concept "tool" from CAD-like geometry to final simulation with the aim of dealing with parametrized shapes managed by efficient free-form deformation techniques into an isogeometric analysis setting. This tool is totally integrated into model order reduction techniques, based on POD, developed for stable incompressible viscous flows (velocity and pressure) in parametrized shapes. This computational environment has been created in the framework of the project UBE – Underwater Blue Efficiency – for the optimization of the shapes of immersed parts of motor yachts, including exhausting flows devices. The study is benefiting of several properties of reduced order modelling approaches such as offline-online calculations for parametric design, as well as synergies with isogeometric analysis properties. Convergence, stability and consistency properties are verified as well in test case and then applicative results are introduced.


Software Product Lines (SPLs) embraces an enormous capacity of feature mixtures which cause challenges for evaluating software programs. Testsuite optimization plays major role to develope the quality of SPLs. In combinatorial testing (CT), pair wise fault coverage maximization and test case reduction accomplishes a substantial role for shrinking the testing cost of software programs. Many research works have been developed and designed for CT using different test suite reduction techniques. However Fuzzy clustering and TSRSO techniques do not provide a finest solution for test suite optimization problem. For that, Genetic Algorithm (GA) Technique is recommended and designed for test suite reduction in CT. Metaheuristic genetic algorithm delivers optimum solution in an effective manner. GA chooses and consolidates the testcases in a testsuite based on some principles such that maximum faults covered with minimum execution time. In Proposed GA, finest individuals are nominated for reproduction in order to create descendants of the succeeding generation. In addition, GA is a superior type of evolutionary algorithms generate finest solutions to optimization problems using selection, crossover and mutation operators. Consequently, GA is applied for resolving test suite reduction problem in CT


1978 ◽  
Vol 48 ◽  
pp. 389-390 ◽  
Author(s):  
Chr. de Vegt

AbstractReduction techniques as applied to astrometric data material tend to split up traditionally into at least two different classes according to the observational technique used, namely transit circle observations and photographic observations. Although it is not realized fully in practice at present, the application of a blockadjustment technique for all kind of catalogue reductions is suggested. The term blockadjustment shall denote in this context the common adjustment of the principal unknowns which are the positions, proper motions and certain reduction parameters modelling the systematic properties of the observational process. Especially for old epoch catalogue data we frequently meet the situation that no independent detailed information on the telescope properties and other instrumental parameters, describing for example the measuring process, is available from special calibration observations or measurements; therefore the adjustment process should be highly self-calibrating, that means: all necessary information has to be extracted from the catalogue data themselves. Successful applications of this concept have been made already in the field of aerial photogrammetry.


2016 ◽  
Vol 93 (1) ◽  
pp. 26-44
Author(s):  
Larry Schweikart ◽  
Lynne Pierson Doti

In Gold Rush–era California, banking and the financial sector evolved in often distinctive ways because of the Gold Rush economy. More importantly, the abundance of gold on the West Coast provided an interesting test case for some of the critical economic arguments of the day, especially for those deriving from the descending—but still powerful—positions of the “hard money” Jacksonians.


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