RETRACTED ARTICLE: A multi objective binary bat approach for testcase selection in object oriented testing

Abstract

Time and resources are usually neglected areas in the life cycle of software development. So, these become the primary constraints in software testing. Optimization of a test suite is quite crucial in reducing the complexity of the testing phase and selection of the test cases by eliminating redundant data; this is critical for defining the strategies. Most of the work in literature employs single-objective optimization methods. Though these are not always efficient, these play a critical role in the selection of a test case. Test case selection is, however, non-deterministic. Selection of test cases using Parallel Programming is treated as a complex task due to the need for higher performance in Parallel Computing. Parallel Computing can be stated as a combination of Computational mechanisms and Mathematical techniques. Hence, this investigation proposes a novel BAT algorithm for multi-objective optimization. It has code coverage as well as Object-oriented testing strategies. Comparing the experimental results with the Genetic Algorithm (GA), it is observed that the proposed method has faster convergence with adequate code coverage.

A survey on binary metaheuristic algorithms and their engineering applications

“…Resources and time are commonly ignored in software development, but they become main constraints in software testing. The selection of TCs is critical for reducing time complexity, therefore, Geetha and Jeya Mala proposed a new multi-objective BA algorithm (Geetha and Jeya Mala 2021 ). It has two goals, code coverage and object-oriented, and has fast convergence.…”

“…( 2012 ) Binary DE Text Summarization Medium Medium High De Souza et al. ( 2013 ) Binary PSO Software Testing Medium Low High Geetha and Jeya Mala ( 2021 ) Multi-Objective BA Software Testing Low Low Medium Dagar and Dahiya ( 2020 ) Multi-Objective Binary PSO Edge Detection Low Low High Pellot et al. ( 1994 ) SA 3D Reconstruction Low Medium Low Shi et al.…”