Please use this identifier to cite or link to this item: http://hdl.handle.net/10266/3446
Title: Effectual Mutation Analysis of Relational Database using Minimal Schemata with Parallelization
Authors: Heena, Gupta
Supervisor: Garhwal, Sunita
Keywords: Mutation testing;Database;CSED
Issue Date: 29-Jul-2015
Abstract: Today, testing is the most challenging and dominating activity used in every field, therefore, improvement is necessary and efficient with respect to time. Software testing allows the programmer to determine the quality of the software. Mutation testing is the branch of software testing, is a fault-based testing technique that measures the quality of test cases. Faults are injected using a pre-defined set of mutation operators into the program. Mutation analysis is a successful approach to survey the nature of input values and test cases. Yet, since this strategy requires the execution of numerous mutants, it frequently acquires a generous computational expense and time. This thesis targets the issue of time, and effort that is needed for generating and executing a large amount of mutants. A new algorithm, i.e. Minimal Schemata with parallelization is developed which will reduce the time to some extend as compared to the previous algorithms. This thesis is organized into five chapters. Chapter1 describes the basic concept of the software testing and mutation testing and its types. Chapter2 describes literature survey which has been done during literature survey. Chapter3 describes the motivation behind this, discusses problem statement and its objectives. Chapter4 explains all the results obtained from the algorithm. Chapter5 summarizes the conclusions drawn from the work done along with the directions regarding future scope.
Description: ME, CSED
URI: http://hdl.handle.net/10266/3446
Appears in Collections:Masters Theses@CSED

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