[HTML][HTML] A Review of Constrained Multi-Objective Evolutionary Algorithm-Based Unmanned Aerial Vehicle Mission Planning: Key Techniques and Challenges
G Huang, M Hu, X Yang, X Wang, Y Wang, F Huang - Drones, 2024 - mdpi.com
UAV mission planning is one of the core problems in the field of UAV applications. Currently,
mission planning needs to simultaneously optimize multiple conflicting objectives and take …
mission planning needs to simultaneously optimize multiple conflicting objectives and take …
Combinatorial testing of restful apis
This paper presents RestCT, a systematic and fully automatic approach that adopts
Combinatorial Testing (CT) to test RESTful APIs. RestCT is systematic in that it covers and …
Combinatorial Testing (CT) to test RESTful APIs. RestCT is systematic in that it covers and …
Beyond pairwise testing: Advancing 3-wise combinatorial interaction testing for highly configurable systems
To meet the rising demand for software customization, highly configurable software systems
play key roles in practice. Combinatorial interaction testing (CIT) is recognized as an …
play key roles in practice. Combinatorial interaction testing (CIT) is recognized as an …
On Estimating the Feasible Solution Space of Multi-Objective Testing Resource Allocation
The multi-objective testing resource allocation problem (MOTRAP) is concerned on how to
reasonably plan the testing time of software testers to save the cost and improve the …
reasonably plan the testing time of software testers to save the cost and improve the …
[HTML][HTML] Constrained locating arrays for combinatorial interaction testing
H Jin, T Tsuchiya - Journal of Systems and Software, 2020 - Elsevier
This paper introduces the notion of Constrained Locating Arrays (CLAs), mathematical
objects which can be used for fault localization in software testing. CLAs extend ordinary …
objects which can be used for fault localization in software testing. CLAs extend ordinary …
An adaptive penalty based parallel tabu search for constrained covering array generation
Context: The generation of the optimal constrained covering arrays is a key challenge in the
research field of combinatorial testing, where a variety of Constrained Covering Array …
research field of combinatorial testing, where a variety of Constrained Covering Array …
Top-down: A better strategy for incremental covering array generation
Abstract Context: The Incremental Covering Array (ICA) offers a flexible and efficient test
schedule for Combinatorial Testing (CT) by enabling dynamic adjustment of test strength …
schedule for Combinatorial Testing (CT) by enabling dynamic adjustment of test strength …
New reliability-driven bounds for architecture-based multi-objective testing resource allocation
The multi-objective testing resource allocation problem (MOTRAP) aims at seeking a good
trade-off between system reliability, testing cost, and testing time, which is of significant …
trade-off between system reliability, testing cost, and testing time, which is of significant …
[HTML][HTML] Constrained detecting arrays: Mathematical structures for fault identification in combinatorial interaction testing
H Jin, C Shi, T Tsuchiya - Information and Software Technology, 2023 - Elsevier
Context: Detecting arrays are mathematical structures aimed at fault identification in
combinatorial interaction testing. However, they cannot be directly applied to systems that …
combinatorial interaction testing. However, they cannot be directly applied to systems that …
A tolerance-based memetic algorithm for constrained covering array generation
X Guo, X Song, J Zhou, F Wang - Memetic Computing, 2023 - Springer
The research focus in the field of combinatorial testing has shifted from unconstrained
covering array generation (CAG) to constrained covering array generation (CCAG). Most …
covering array generation (CAG) to constrained covering array generation (CCAG). Most …