Intelligent interaction tests suite generator for iot testing

Typical Internet of Things (IOT) applications consist of large heterogeneous components. In order to ensure free-of-bug integration, there is need for testing all possible combinations (i.e., causing combinatorial explosion problem). Testing all possibilities is practically impossible owing to resou...

Full description

Bibliographic Details
Main Authors: Nasser, Abdullah, Kamal Zuhairi, Zamli, Alsewari, Abdulrahman A., Rassem, Taha H.
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/33793/
http://umpir.ump.edu.my/id/eprint/33793/1/Intelligent%20interaction%20tests%20suite%20generator%20for%20iot%20testing.CITREX2021..pdf
_version_ 1848824346692288512
author Nasser, Abdullah
Kamal Zuhairi, Zamli
Alsewari, Abdulrahman A.
Rassem, Taha H.
author_facet Nasser, Abdullah
Kamal Zuhairi, Zamli
Alsewari, Abdulrahman A.
Rassem, Taha H.
author_sort Nasser, Abdullah
building UMP Institutional Repository
collection Online Access
description Typical Internet of Things (IOT) applications consist of large heterogeneous components. In order to ensure free-of-bug integration, there is need for testing all possible combinations (i.e., causing combinatorial explosion problem). Testing all possibilities is practically impossible owing to resource and time constraints. In order to address these issues, t-way testing approach has been adopted to minimize the tests systematically.
first_indexed 2025-11-15T03:11:34Z
format Conference or Workshop Item
id ump-33793
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T03:11:34Z
publishDate 2021
recordtype eprints
repository_type Digital Repository
spelling ump-337932022-08-18T08:45:48Z http://umpir.ump.edu.my/id/eprint/33793/ Intelligent interaction tests suite generator for iot testing Nasser, Abdullah Kamal Zuhairi, Zamli Alsewari, Abdulrahman A. Rassem, Taha H. QA76 Computer software TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Typical Internet of Things (IOT) applications consist of large heterogeneous components. In order to ensure free-of-bug integration, there is need for testing all possible combinations (i.e., causing combinatorial explosion problem). Testing all possibilities is practically impossible owing to resource and time constraints. In order to address these issues, t-way testing approach has been adopted to minimize the tests systematically. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33793/1/Intelligent%20interaction%20tests%20suite%20generator%20for%20iot%20testing.CITREX2021..pdf Nasser, Abdullah and Kamal Zuhairi, Zamli and Alsewari, Abdulrahman A. and Rassem, Taha H. (2021) Intelligent interaction tests suite generator for iot testing. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. (Published)
spellingShingle QA76 Computer software
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
Nasser, Abdullah
Kamal Zuhairi, Zamli
Alsewari, Abdulrahman A.
Rassem, Taha H.
Intelligent interaction tests suite generator for iot testing
title Intelligent interaction tests suite generator for iot testing
title_full Intelligent interaction tests suite generator for iot testing
title_fullStr Intelligent interaction tests suite generator for iot testing
title_full_unstemmed Intelligent interaction tests suite generator for iot testing
title_short Intelligent interaction tests suite generator for iot testing
title_sort intelligent interaction tests suite generator for iot testing
topic QA76 Computer software
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/33793/
http://umpir.ump.edu.my/id/eprint/33793/1/Intelligent%20interaction%20tests%20suite%20generator%20for%20iot%20testing.CITREX2021..pdf