A systematic review on search‐based test suite reduction: State‐of‐the‐art, taxonomy, and future directions
Regression testing remains a promising research area for the last few decades. It is a type of
testing that aims at ensuring that recent modifications have not adversely affected the …
testing that aims at ensuring that recent modifications have not adversely affected the …
An adaptive resistance and stamina strategy-based dragonfly algorithm for solving engineering optimization problems
Purpose Highly non-linear optimization problems exist in many practical engineering
applications. To deal with these problems, this study aims to propose an improved …
applications. To deal with these problems, this study aims to propose an improved …
Optimal test suite selection in regression testing with testcase prioritization using modified Ann and Whale optimization algorithm
SK Harikarthik, V Palanisamy, P Ramanathan - Cluster Computing, 2019 - Springer
Fault detection during testing can provide faster feedback on the system under test and
permit software engineers begin correcting faults earlier. One application of prioritization …
permit software engineers begin correcting faults earlier. One application of prioritization …
Genetic-based web regression testing: an ontology-based multi-objective evolutionary framework to auto-regression testing of web applications
M Nooraei Abadeh - Service Oriented Computing and Applications, 2021 - Springer
Regression testing is one of the most critical activities in the software maintenance process
and its importance is twofold for evolutionary applications, eg, modern flexible web-based …
and its importance is twofold for evolutionary applications, eg, modern flexible web-based …
DDF: Diversity dragonfly algorithm for cost-aware test suite minimization approach for software testing
The test suite minimization approach is a major research topic that it requires huge attention
from the researchers as the traditional methods used for performing the test suite …
from the researchers as the traditional methods used for performing the test suite …
Accelerating the calculation of Friedman test tables on many-core processors
D Irigaray, E Dufrechou, M Pedemonte… - … Computing: 6th Latin …, 2020 - Springer
Abstract The Friedman Test has been proposed in 1937 to analyze tables of ranks, like
those arising from a wine contest. If we have N judges and k wines, the standard problem is …
those arising from a wine contest. If we have N judges and k wines, the standard problem is …
Nature-inspired approaches to test suite minimization for regression testing
A Bajaj, OP Sangwan - Computational intelligence techniques …, 2020 - taylorfrancis.com
Regression testing is performed to check whether the changes introduced any faults or
vulnerabilities. This chapter focuses on test suite minimization approaches that use nature …
vulnerabilities. This chapter focuses on test suite minimization approaches that use nature …
A theoretical and empirical study of the trajectories of solutions on the grid of systolic genetic search
Abstract Systolic Genetic Search (SGS) is a recently proposed optimization algorithm based
on the circulation of solutions through a bidimensional grid of cells and the application of …
on the circulation of solutions through a bidimensional grid of cells and the application of …
A biased random-key genetic algorithm for regression test case prioritization
P Carballo, P Perera, S Rama… - 2018 IEEE Latin …, 2018 - ieeexplore.ieee.org
The Test Case Prioritization Problem (TCPP) is a real-world problem that arises in
regression testing. It lies in finding an ordering of the test cases of a test suite, such that test …
regression testing. It lies in finding an ordering of the test cases of a test suite, such that test …
A vns with parallel evaluation of solutions for the inverse lighting problem
I Decia, R Leira, M Pedemonte, E Fernández… - … 2017, Amsterdam, The …, 2017 - Springer
Lighting design is a key issue in architectural design. The Inverse Lighting Problem (ILP) is
an optimization problem that arises in lighting design and consist in finding the best …
an optimization problem that arises in lighting design and consist in finding the best …