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Articles by Anju Bala
Total Records ( 2 ) for Anju Bala
  Priti and Anju Bala
  One of the genuine uses of future time parallel and scattered structures is in colossal data examination. Data storage facilities for such applications at present outperform exabyte and are rapidly growing in size. Past their sheer size these datasets and related application’s considerations act vital troubles for system and programming change. Meta-heuristic procedures improve the big data processing procedures by using the explorative and also the exploit seek. The effective execution of the big data processing can be accomplished by utilizing the meta-heuristic paradigms. This study concentrates the big data investigation and the part of the meta-heuristic procedures in handling of big data. The study likewise concentrates diverse existing meta-heuristic methods.
  Anju Bala and Rajender Singh Chhillar
  Selection of test case is a standard testing technique to opt a subset of existing test cases for execution, due to the limited budget and other necessary constraints. The key objective of this study is automatic generation and optimization of test cases using bio-inspired Genetic Algorithm (GA). These search optimization techniques lead to global best solution. These algorithms are used to generate test paths and then optimize them. The case study on telemedicine simulation system is being presented here using use case diagrams, activity diagram and sequence diagram. Activity diagram graph and sequence diagram graph show test paths which are being optimized using Genetic algorithm. This study presents a novel approach for generation of test cases using UML. Our approach consists of converting the all UML diagrams into graph and integrated to form System Under Test (SUT). From the graphs different control flow series also called test cases are recognized and then optimized using Genetic algorithm. The system graph is then traversed to generate test paths which are being optimized using GA. To explore the efficacy of our approach, we performed an empirical study using MATLAB programs with manifold paths and other parameters. Our results indicate that generation and optimization of test case is achieved efficiently in much less time.
 
 
 
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