Software Testing: Cost Reduction in Industry 4.0

Valle-Gomez, Kevin J.; Delgado‐Pérez, Pedro; Medina‐Bulo, Inmaculada; Magallanes-Fernandez, Jose

doi:10.1109/ast.2019.00018

Cited by 4 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The procedure can be extrapolated to all sorts of software systems, so we intend to start applying it in real environments, such as the one presented in a previous work [42]. In this sense, although it can help the industry to find defects by reducing testing effort, there are different risks than those found in traditional projects.…”

Section: Discussionmentioning

confidence: 99%

Mutation‐inspired symbolic execution for software testing

et al. 2022

View full text Add to dashboard Cite

Software testing is a complex and costly stage during the software development lifecycle. Nowadays, there is a wide variety of solutions to reduce testing costs and improve test quality. Focussing on test case generation, Dynamic Symbolic Execution (DSE) is used to generate tests with good structural coverage. Regarding test suite evaluation, Mutation Testing (MT) assesses the detection capability of the test cases by introducing minor localised changes that resemble real faults. DSE is however known to produce tests that do not have good mutation detection capabilities: in this paper, the authors set out to solve this by combining DSE and MT into a new family of approaches that the authors call Mutation-Inspired Symbolic Execution (MISE). First, this known result on a set of open source programs is confirmed: DSE by itself is not good at killing mutants, detecting only 59.9% out of all mutants. The authors show that a direct combination of DSE and MT (naive MISE) can produce better results, detecting up to 16% more mutants depending on the programme, though at a high computational cost. To reduce these costs, the authors set out a roadmap for more efficient versions of MISE, gaining its advantages while avoiding a large part of its additional costs.

show abstract

Section: Discussionmentioning

confidence: 99%

Mutation‐inspired symbolic execution for software testing

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Software testing ensures software quality and is essential for development and maintenance. It accounts for about 40% [1] of total project costs, and earlier testing reduces the costs of fixing potential defects [2] . So far, a large number of enterprises and organizations still use human resources to manually write test cases according to scenarios or business logic, which requires high technical and communication levels of development personnel, and the generated test cases cover few paths.…”

Section: Introductionmentioning

confidence: 99%

Test case generation method based on particle swarm optimization algorithm

Wang

Zhu

et al. 2023

Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023)

View full text Add to dashboard Cite

To address the problem of low efficiency in test case generation, an Elite Opposition-Learning Particle Swarm Optimization Based on Selection and Mutation Strategy (SM-EOLPSO) is proposed in this paper. Firstly, nonlinear decreasing inertia weight with random offset is set so that the search ability can be adaptively adjusted to the situation. Secondly, opposition-based learning is performed to enhance global detection ability and improve population diversity; meanwhile, selection and mutation operations in genetic algorithm are introduced to speed up convergence and prevent falling into local optimal solutions. Finally, the branch distance is used to construct the fitness function and evaluate test cases. Experimental results show that the algorithm is competitive in terms of the number of iterations and generation time for automatic test case generation

show abstract

Ergonomic Support for the Activities of Software Testers

Lavrov,

Siryk

2022

2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T)

View full text Add to dashboard Cite

Software Testing: Cost Reduction in Industry 4.0

Cited by 4 publications

References 5 publications

Mutation‐inspired symbolic execution for software testing

Mutation‐inspired symbolic execution for software testing

Test case generation method based on particle swarm optimization algorithm

Ergonomic Support for the Activities of Software Testers

Contact Info

Product

Resources

About