2015Unpublished venueRequires access

Automatic test case generation for unit software testing using genetic algorithm and mutation analysis

Rijwan Khan, Mohd Amjad

Open publisher page 21 citations

Abstract

Software Engineers waste a lot of their time in the process of software testing. It also has been seen in the industries that a lot of money is depleting on the software process. In software testing process we apply test cases as input and check for final output. So our first concern is to choose the appropriate test cases for the software testing process. To give the correct output, it is very difficult to choose test cases. So generation of the test cases is a NP problem. To generate automatic test cases many nature inspired optimization algorithms have been used. These nature inspired optimization algorithms help to generate appropriate test cases. In this paper for generating automatic test cases genetic algorithm and mutation analysis had been used.

About this research paper

What this paper is about

Software Engineers waste a lot of their time in the process of software testing. It also has been seen in the industries that a lot of money is depleting on the software process. In software testing process we apply test cases as input and check for final output. So our first concern is to choose the appropriate test cases for the software testing process. To give the correct output, it is very difficult to choose test cases. So generation of the test cases is a NP problem. To generate automatic test cases many nature inspired optimization algorithms have been used. These nature inspired optimization algorithms help to generate appropriate test cases. In this paper for generating automatic test cases genetic algorithm and mutation analysis had been used.

Why it matters

OpenAlex reports 21 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Software Engineers waste a lot of their time in the process of software testing. It also has been seen in the industries that a lot of money is depleting on the software process. In software testing process we apply test cases as input and check for final output. So our first concern is to choose the appropriate test cases for the software testing process. To give the correct output, it is very difficult to choose test cases. So generation of the test cases is a NP problem. To generate automatic test cases many nature inspired optimization algorithms have been used. These nature inspired optimization algorithms help to generate appropriate test cases. In this paper for generating automatic test cases genetic algorithm and mutation analysis had been used.

Key concepts: Computer science, Test Management Approach, Test case, White-box testing, Software, Test harness, Unit testing, Software reliability testing

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