Using genetic algorithms in test data generation: a critical systematic mapping
DS Rodrigues, ME Delamaro, CG Corrêa… - ACM COmpUting …, 2018 - dl.acm.org
Software testing activities account for a considerable portion of systems development cost
and, for this reason, many studies have sought to automate these activities. Test data …
and, for this reason, many studies have sought to automate these activities. Test data …
Performance analysis of six meta-heuristic algorithms over automated test suite generation for path coverage-based optimization
There exists a direct need to automate the process of test suite generation to get the most
optimal results as testing accounts for more than 40% of total cost. One method to solve this …
optimal results as testing accounts for more than 40% of total cost. One method to solve this …
On the effectiveness of using elitist genetic algorithm in mutation testing
Manual test case generation is an exhaustive and time-consuming process. However,
automated test data generation may reduce the efforts and assist in creating an adequate …
automated test data generation may reduce the efforts and assist in creating an adequate …
A novel approach to automate test data generation for data flow testing based on hybrid adaptive PSO-GA algorithm
The most important and crucial activity to develop good quality software is software testing.
The most important activity in software testing is to find optimal test suite in input domain to …
The most important activity in software testing is to find optimal test suite in input domain to …
On the use of meta-heuristic algorithms for automated test suite generation in software testing
There exists a dire need to automate the process of test suite generation to get the most
optimal results as testing accounts for more than 40% of total cost. A solution consists of …
optimal results as testing accounts for more than 40% of total cost. A solution consists of …
[HTML][HTML] A novel approach for deriving interactions for combinatorial testing
S Sabharwal, M Aggarwal - Engineering Science and Technology, an …, 2017 - Elsevier
Combinatorial testing focuses on identifying faults that arise due to interaction of values of a
small number of input parameters. Also known as t-way testing, it reduces the size of test set …
small number of input parameters. Also known as t-way testing, it reduces the size of test set …
A differential evolution based approach to generate test data for data-flow coverage
S Varshney, M Mehrotra - 2016 international conference on …, 2016 - ieeexplore.ieee.org
Software testing is a vital and an effort intensive phase of the software development process.
Testing efficacy relies upon optimal test data from the input domain of the problem in …
Testing efficacy relies upon optimal test data from the input domain of the problem in …
[PDF][PDF] Artificial bee colony based test data generation for data-flow testing
Objectives: It is a challenging task to generate and identify an optimal test set that satisfies a
robust adequacy criterion, like data flow testing. A number of heuristic and meta-heuristics …
robust adequacy criterion, like data flow testing. A number of heuristic and meta-heuristics …
A hybrid particle swarm optimization and differential evolution based test data generation algorithm for data-flow coverage using neighbourhood search strategy
S Varshney, M Mehrotra - Informatica, 2018 - informatica.si
Meta-heuristic search techniques, mainly Genetic Algorithm (GA), have been widely applied
for automated test data generation according to a structural test adequacy criterion …
for automated test data generation according to a structural test adequacy criterion …
An automated analysis of the branch coverage and energy consumption using concolic testing
The energy consumption of computer systems has become an important economic and
environmental issue. Many researchers have focused on the energy consumption of …
environmental issue. Many researchers have focused on the energy consumption of …