• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 47 matches

• 2021
• 
  Pooja Rani, G. S. Mahapatra:
  Entropy based enhanced particle swarm optimization on multi-objective software reliability modelling for optimal testing resources allocation. Softw. Test. Verification Reliab. 31(6) (2021)
• 
  Wenbin Zheng, Jinlong Shi, Jiaqing Qiao, Ping Fu, Hongyuan Jiang:
  Testing Path Searching for Digital Microfluidic Biochips based on the Improved Particle Swarm Optimization. I2MTC 2021: 1-6
• 
  Sofian Kassaymeh, Salwani Abdullah, Mohammed Alweshah, Abdelaziz I. Hammouri:
  A Hybrid Salp Swarm Algorithm with Artificial Neural Network Model for Predicting the Team Size Required for Software Testing Phase. ICEEI 2021: 1-6
• 2020
• 
  Muthusamy Boopathi, Sujatha Ramalingam, Senthil Kumar Chandran:
  Application of particle swarm optimisation for coverage estimation in software testing. Int. J. Comput. Sci. Eng. 23(4): 367-380 (2020)
• 
  Nishtha Jatana, Bharti Suri:
  Particle Swarm and Genetic Algorithm applied to mutation testing for test data generation: A comparative evaluation. J. King Saud Univ. Comput. Inf. Sci. 32(4): 514-521 (2020)
• 
  Anja Babic, Goran Vasiljevic, Nikola Miskovic:
  Vehicle-in-the-Loop Framework for Testing Long-Term Autonomy in a Heterogeneous Marine Robot Swarm. IEEE Robotics Autom. Lett. 5(3): 4439-4446 (2020)
• 
  Hamzeh M. Allawi, Waref Al Manaseer, Mohammad Alshraideh:
  A greedy particle swarm optimization (GPSO) algorithm for testing real-world smart card applications. Int. J. Softw. Tools Technol. Transf. 22(2): 183-194 (2020)
• 
  Qihao Shan, Sanaz Mostaghim:
  Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing. ANTS Conference 2020: 55-67
• 
  Damian Trofimowicz, Tomasz P. Stefanski:
  Testing Stability of Digital Filters Using Multimodal Particle Swarm Optimization with Phase Analysis. MIXDES 2020: 232-236
• 2019
• 
  Jakub Wiech, Zenon Hendzel:
  Overhead Vision System for Testing Swarms and Groups of Wheeled Robots. J. Autom. Mob. Robotics Intell. Syst. 13(2): 15-22 (2019)
• 2018
• 
  Hongyan Sang, Pei-Yong Duan, Jun-Qing Li:
  An effective invasive weed optimization algorithm for scheduling semiconductor final testing problem. Swarm Evol. Comput. 38: 42-53 (2018)
• 
  Sondre A. Engebråten, Kyrre Glette, Oleg A. Yakimenko:
  Field-Testing of High-Level Decentralized Controllers for a Multi-Function Drone Swarm. ICCA 2018: 379-386
• 
  Bestoun S. Ahmed, Luca Maria Gambardella, Wasif Afzal, Kamal Z. Zamli:
  Handling Constraints in Combinatorial Interaction Testing in the presence of Multi Objective Particle Swarm and Multithreading. CoRR abs/1804.07693 (2018)
• 
  Hussein A. Abbass, John Harvey, Kate J. Yaxley:
  Lifelong Testing of Smart Autonomous Systems by Shepherding a Swarm of Watchdog Artificial Intelligence Agents. CoRR abs/1812.08960 (2018)
• 2017
• 
  Bestoun S. Ahmed, Luca Maria Gambardella, Wasif Afzal, Kamal Z. Zamli:
  Handling constraints in combinatorial interaction testing in the presence of multi objective particle swarm and multithreading. Inf. Softw. Technol. 86: 20-36 (2017)
• 
  Yang Zhang, Lizhi Cai, Weijia Ji:
  Combinatorial testing data generation based on bird swarm algorithm. ICSRS 2017: 491-499
• 2016
• 
  Cong Jin, Shu-Wei Jin:
  Parameter optimization of software reliability growth model with S-shaped testing-effort function using improved swarm intelligent optimization. Appl. Soft Comput. 40: 283-291 (2016)
• 
  Omar el Ariss, Steve Bou Ghosn, Weifeng Xu:
  Testing Software Using Swarm Intelligence: A Bee Colony Optimization Approach. EAI Endorsed Trans. Collab. Comput. 2(8): e1 (2016)
• 
  Lu-Yao Wu, Wei-Neng Chen, Hao-Hui Deng, Jun Zhang, Yun Li:
  Particle swarm optimization with Monte-Carlo simulation and hypothesis testing for network reliability problem. ICACI 2016: 310-317
• 
  Nishtha Jatana, Bharti Suri, Sanjay Misra, Prateek Kumar, Amit Roy Choudhury:
  Particle Swarm Based Evolution and Generation of Test Data Using Mutation Testing. ICCSA (5) 2016: 585-594
• 
  Hiba Khalid, Mazhar Hameed, Usman Qamar:
  Evolutionary Testing Using Particle Swarm Optimization in IOT Applications. IntelliSys (2) 2016: 351-358
• 
  Mohammad Amin Alipour, Alex Groce, Rahul Gopinath, Arpit Christi:
  Generating focused random tests using directed swarm testing. ISSTA 2016: 70-81
• 2015
• 
  L. Srivani, N. H. V. Krishna Giri, Shankar Ganesh, V. Kamakoti:
  Generating synthetic benchmark circuits for accelerated life testing of field programmable gate arrays using genetic algorithm and particle swarm optimization. Appl. Soft Comput. 27: 179-190 (2015)
• 
  Thair Mahmoud, Bestoun S. Ahmed:
  An efficient strategy for covering array construction with fuzzy logic-based adaptive swarm optimization for software testing use. Expert Syst. Appl. 42(22): 8753-8765 (2015)
• 
  Kanchan Manna, Chakradhar Reddy Veeramreddy, Santanu Chattopadhyay, Indranil Sengupta:
  Thermal-aware multifrequency network-on-chip testing using particle swarm optimisation. Int. J. High Perform. Syst. Archit. 5(3): 141-152 (2015)
• 
  Chengying Mao, Lichuan Xiao, Xinxin Yu, Jinfu Chen:
  Adapting ant colony optimization to generate test data for software structural testing. Swarm Evol. Comput. 20: 23-36 (2015)
• 
  Omar el Ariss, Steve Bou Ghosn, Weifeng Xu:
  Testing Software Using Swarm Intelligence: A Bee Colony Optimization Approach. BICT 2015: 205-213
• 
  Matteo Pozza, Claudio Enrico Palazzi, Armir Bujari:
  BlueFall: Testing swarming protocols through mobile phones. ICNC 2015: 1087-1091
• 
  Rajit Karmakar, Aditya Agarwal, Santanu Chattopadhyay:
  Testing of 3D-stacked ICs with hard- and soft-dies - a Particle Swarm Optimization based approach. VTS 2015: 1-6
• 2014
• 
  Hamza Boudjefdjouf, Rabia Mehasni, Houssem Bouchekara, Antonio Orlandi, Francesco de Paulis:
  Non-Destructive Testing in Complexes Cabling Networks using Time Domain Reflectometry and Particle Swarm Optimization. FedCSIS (Position Papers) 2014: 157-163

skipping 17 more matches